1114 lines
47 KiB
C++
1114 lines
47 KiB
C++
#include "common.h"
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#include "whisper.h"
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#include <cmath>
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#include <fstream>
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#include <cstdio>
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#include <string>
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#include <thread>
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#include <vector>
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#include <cstring>
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#if defined(_MSC_VER)
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#pragma warning(disable: 4244 4267) // possible loss of data
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#endif
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// helper function to replace substrings
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void replace_all(std::string & s, const std::string & search, const std::string & replace) {
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for (size_t pos = 0; ; pos += replace.length()) {
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pos = s.find(search, pos);
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if (pos == std::string::npos) break;
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s.erase(pos, search.length());
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s.insert(pos, replace);
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}
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}
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// command-line parameters
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struct whisper_params {
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int32_t n_threads = std::min(4, (int32_t) std::thread::hardware_concurrency());
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int32_t n_processors = 1;
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int32_t offset_t_ms = 0;
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int32_t offset_n = 0;
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int32_t duration_ms = 0;
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int32_t progress_step = 5;
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int32_t max_context = -1;
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int32_t max_len = 0;
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int32_t best_of = whisper_full_default_params(WHISPER_SAMPLING_GREEDY).greedy.best_of;
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int32_t beam_size = whisper_full_default_params(WHISPER_SAMPLING_BEAM_SEARCH).beam_search.beam_size;
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int32_t audio_ctx = 0;
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float word_thold = 0.01f;
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float entropy_thold = 2.40f;
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float logprob_thold = -1.00f;
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bool speed_up = false;
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bool debug_mode = false;
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bool translate = false;
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bool detect_language = false;
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bool diarize = false;
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bool tinydiarize = false;
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bool split_on_word = false;
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bool no_fallback = false;
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bool output_txt = false;
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bool output_vtt = false;
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bool output_srt = false;
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bool output_wts = false;
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bool output_csv = false;
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bool output_jsn = false;
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bool output_jsn_full = false;
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bool output_lrc = false;
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bool no_prints = false;
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bool print_special = false;
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bool print_colors = false;
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bool print_progress = false;
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bool no_timestamps = false;
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bool log_score = false;
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bool use_gpu = true;
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std::string language = "en";
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std::string prompt;
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std::string font_path = "/System/Library/Fonts/Supplemental/Courier New Bold.ttf";
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std::string model = "models/ggml-base.en.bin";
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// [TDRZ] speaker turn string
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std::string tdrz_speaker_turn = " [SPEAKER_TURN]"; // TODO: set from command line
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std::string openvino_encode_device = "CPU";
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std::string dtw = "";
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std::vector<std::string> fname_inp = {};
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std::vector<std::string> fname_out = {};
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};
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void whisper_print_usage(int argc, char ** argv, const whisper_params & params);
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char* whisper_param_turn_lowercase(char* in){
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int string_len = strlen(in);
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for(int i = 0; i < string_len; i++){
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*(in+i) = tolower((unsigned char)*(in+i));
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}
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return in;
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}
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bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
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for (int i = 1; i < argc; i++) {
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std::string arg = argv[i];
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if (arg == "-"){
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params.fname_inp.push_back(arg);
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continue;
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}
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if (arg[0] != '-') {
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params.fname_inp.push_back(arg);
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continue;
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}
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if (arg == "-h" || arg == "--help") {
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whisper_print_usage(argc, argv, params);
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exit(0);
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}
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else if (arg == "-t" || arg == "--threads") { params.n_threads = std::stoi(argv[++i]); }
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else if (arg == "-p" || arg == "--processors") { params.n_processors = std::stoi(argv[++i]); }
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else if (arg == "-ot" || arg == "--offset-t") { params.offset_t_ms = std::stoi(argv[++i]); }
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else if (arg == "-on" || arg == "--offset-n") { params.offset_n = std::stoi(argv[++i]); }
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else if (arg == "-d" || arg == "--duration") { params.duration_ms = std::stoi(argv[++i]); }
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else if (arg == "-mc" || arg == "--max-context") { params.max_context = std::stoi(argv[++i]); }
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else if (arg == "-ml" || arg == "--max-len") { params.max_len = std::stoi(argv[++i]); }
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else if (arg == "-bo" || arg == "--best-of") { params.best_of = std::stoi(argv[++i]); }
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else if (arg == "-bs" || arg == "--beam-size") { params.beam_size = std::stoi(argv[++i]); }
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else if (arg == "-ac" || arg == "--audio-ctx") { params.audio_ctx = std::stoi(argv[++i]); }
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else if (arg == "-wt" || arg == "--word-thold") { params.word_thold = std::stof(argv[++i]); }
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else if (arg == "-et" || arg == "--entropy-thold") { params.entropy_thold = std::stof(argv[++i]); }
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else if (arg == "-lpt" || arg == "--logprob-thold") { params.logprob_thold = std::stof(argv[++i]); }
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// else if (arg == "-su" || arg == "--speed-up") { params.speed_up = true; }
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else if (arg == "-debug"|| arg == "--debug-mode") { params.debug_mode = true; }
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else if (arg == "-tr" || arg == "--translate") { params.translate = true; }
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else if (arg == "-di" || arg == "--diarize") { params.diarize = true; }
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else if (arg == "-tdrz" || arg == "--tinydiarize") { params.tinydiarize = true; }
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else if (arg == "-sow" || arg == "--split-on-word") { params.split_on_word = true; }
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else if (arg == "-nf" || arg == "--no-fallback") { params.no_fallback = true; }
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else if (arg == "-otxt" || arg == "--output-txt") { params.output_txt = true; }
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else if (arg == "-ovtt" || arg == "--output-vtt") { params.output_vtt = true; }
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else if (arg == "-osrt" || arg == "--output-srt") { params.output_srt = true; }
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else if (arg == "-owts" || arg == "--output-words") { params.output_wts = true; }
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else if (arg == "-olrc" || arg == "--output-lrc") { params.output_lrc = true; }
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else if (arg == "-fp" || arg == "--font-path") { params.font_path = argv[++i]; }
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else if (arg == "-ocsv" || arg == "--output-csv") { params.output_csv = true; }
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else if (arg == "-oj" || arg == "--output-json") { params.output_jsn = true; }
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else if (arg == "-ojf" || arg == "--output-json-full"){ params.output_jsn_full = params.output_jsn = true; }
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else if (arg == "-of" || arg == "--output-file") { params.fname_out.emplace_back(argv[++i]); }
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else if (arg == "-np" || arg == "--no-prints") { params.no_prints = true; }
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else if (arg == "-ps" || arg == "--print-special") { params.print_special = true; }
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else if (arg == "-pc" || arg == "--print-colors") { params.print_colors = true; }
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else if (arg == "-pp" || arg == "--print-progress") { params.print_progress = true; }
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else if (arg == "-nt" || arg == "--no-timestamps") { params.no_timestamps = true; }
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else if (arg == "-l" || arg == "--language") { params.language = whisper_param_turn_lowercase(argv[++i]); }
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else if (arg == "-dl" || arg == "--detect-language") { params.detect_language = true; }
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else if ( arg == "--prompt") { params.prompt = argv[++i]; }
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else if (arg == "-m" || arg == "--model") { params.model = argv[++i]; }
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else if (arg == "-f" || arg == "--file") { params.fname_inp.emplace_back(argv[++i]); }
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else if (arg == "-oved" || arg == "--ov-e-device") { params.openvino_encode_device = argv[++i]; }
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else if (arg == "-dtw" || arg == "--dtw") { params.dtw = argv[++i]; }
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else if (arg == "-ls" || arg == "--log-score") { params.log_score = true; }
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else if (arg == "-ng" || arg == "--no-gpu") { params.use_gpu = false; }
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else {
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fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
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whisper_print_usage(argc, argv, params);
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exit(0);
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}
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}
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return true;
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}
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void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & params) {
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fprintf(stderr, "\n");
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fprintf(stderr, "usage: %s [options] file0.wav file1.wav ...\n", argv[0]);
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fprintf(stderr, "\n");
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fprintf(stderr, "options:\n");
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fprintf(stderr, " -h, --help [default] show this help message and exit\n");
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fprintf(stderr, " -t N, --threads N [%-7d] number of threads to use during computation\n", params.n_threads);
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fprintf(stderr, " -p N, --processors N [%-7d] number of processors to use during computation\n", params.n_processors);
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fprintf(stderr, " -ot N, --offset-t N [%-7d] time offset in milliseconds\n", params.offset_t_ms);
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fprintf(stderr, " -on N, --offset-n N [%-7d] segment index offset\n", params.offset_n);
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fprintf(stderr, " -d N, --duration N [%-7d] duration of audio to process in milliseconds\n", params.duration_ms);
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fprintf(stderr, " -mc N, --max-context N [%-7d] maximum number of text context tokens to store\n", params.max_context);
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fprintf(stderr, " -ml N, --max-len N [%-7d] maximum segment length in characters\n", params.max_len);
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fprintf(stderr, " -sow, --split-on-word [%-7s] split on word rather than on token\n", params.split_on_word ? "true" : "false");
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fprintf(stderr, " -bo N, --best-of N [%-7d] number of best candidates to keep\n", params.best_of);
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fprintf(stderr, " -bs N, --beam-size N [%-7d] beam size for beam search\n", params.beam_size);
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fprintf(stderr, " -ac N, --audio-ctx N [%-7d] audio context size (0 - all)\n", params.audio_ctx);
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fprintf(stderr, " -wt N, --word-thold N [%-7.2f] word timestamp probability threshold\n", params.word_thold);
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fprintf(stderr, " -et N, --entropy-thold N [%-7.2f] entropy threshold for decoder fail\n", params.entropy_thold);
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fprintf(stderr, " -lpt N, --logprob-thold N [%-7.2f] log probability threshold for decoder fail\n", params.logprob_thold);
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// fprintf(stderr, " -su, --speed-up [%-7s] speed up audio by x2 (reduced accuracy)\n", params.speed_up ? "true" : "false");
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fprintf(stderr, " -debug, --debug-mode [%-7s] enable debug mode (eg. dump log_mel)\n", params.debug_mode ? "true" : "false");
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fprintf(stderr, " -tr, --translate [%-7s] translate from source language to english\n", params.translate ? "true" : "false");
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fprintf(stderr, " -di, --diarize [%-7s] stereo audio diarization\n", params.diarize ? "true" : "false");
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fprintf(stderr, " -tdrz, --tinydiarize [%-7s] enable tinydiarize (requires a tdrz model)\n", params.tinydiarize ? "true" : "false");
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fprintf(stderr, " -nf, --no-fallback [%-7s] do not use temperature fallback while decoding\n", params.no_fallback ? "true" : "false");
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fprintf(stderr, " -otxt, --output-txt [%-7s] output result in a text file\n", params.output_txt ? "true" : "false");
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fprintf(stderr, " -ovtt, --output-vtt [%-7s] output result in a vtt file\n", params.output_vtt ? "true" : "false");
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fprintf(stderr, " -osrt, --output-srt [%-7s] output result in a srt file\n", params.output_srt ? "true" : "false");
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fprintf(stderr, " -olrc, --output-lrc [%-7s] output result in a lrc file\n", params.output_lrc ? "true" : "false");
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fprintf(stderr, " -owts, --output-words [%-7s] output script for generating karaoke video\n", params.output_wts ? "true" : "false");
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fprintf(stderr, " -fp, --font-path [%-7s] path to a monospace font for karaoke video\n", params.font_path.c_str());
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fprintf(stderr, " -ocsv, --output-csv [%-7s] output result in a CSV file\n", params.output_csv ? "true" : "false");
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fprintf(stderr, " -oj, --output-json [%-7s] output result in a JSON file\n", params.output_jsn ? "true" : "false");
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fprintf(stderr, " -ojf, --output-json-full [%-7s] include more information in the JSON file\n", params.output_jsn_full ? "true" : "false");
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fprintf(stderr, " -of FNAME, --output-file FNAME [%-7s] output file path (without file extension)\n", "");
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fprintf(stderr, " -np, --no-prints [%-7s] do not print anything other than the results\n", params.no_prints ? "true" : "false");
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fprintf(stderr, " -ps, --print-special [%-7s] print special tokens\n", params.print_special ? "true" : "false");
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fprintf(stderr, " -pc, --print-colors [%-7s] print colors\n", params.print_colors ? "true" : "false");
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fprintf(stderr, " -pp, --print-progress [%-7s] print progress\n", params.print_progress ? "true" : "false");
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fprintf(stderr, " -nt, --no-timestamps [%-7s] do not print timestamps\n", params.no_timestamps ? "true" : "false");
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fprintf(stderr, " -l LANG, --language LANG [%-7s] spoken language ('auto' for auto-detect)\n", params.language.c_str());
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fprintf(stderr, " -dl, --detect-language [%-7s] exit after automatically detecting language\n", params.detect_language ? "true" : "false");
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fprintf(stderr, " --prompt PROMPT [%-7s] initial prompt (max n_text_ctx/2 tokens)\n", params.prompt.c_str());
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fprintf(stderr, " -m FNAME, --model FNAME [%-7s] model path\n", params.model.c_str());
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fprintf(stderr, " -f FNAME, --file FNAME [%-7s] input WAV file path\n", "");
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fprintf(stderr, " -oved D, --ov-e-device DNAME [%-7s] the OpenVINO device used for encode inference\n", params.openvino_encode_device.c_str());
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fprintf(stderr, " -dtw MODEL --dtw MODEL [%-7s] compute token-level timestamps\n", params.dtw.c_str());
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fprintf(stderr, " -ls, --log-score [%-7s] log best decoder scores of tokens\n", params.log_score?"true":"false");
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fprintf(stderr, " -ng, --no-gpu [%-7s] disable GPU\n", params.use_gpu ? "false" : "true");
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fprintf(stderr, "\n");
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}
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struct whisper_print_user_data {
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const whisper_params * params;
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const std::vector<std::vector<float>> * pcmf32s;
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int progress_prev;
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};
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std::string estimate_diarization_speaker(std::vector<std::vector<float>> pcmf32s, int64_t t0, int64_t t1, bool id_only = false) {
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std::string speaker = "";
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const int64_t n_samples = pcmf32s[0].size();
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const int64_t is0 = timestamp_to_sample(t0, n_samples, WHISPER_SAMPLE_RATE);
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const int64_t is1 = timestamp_to_sample(t1, n_samples, WHISPER_SAMPLE_RATE);
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double energy0 = 0.0f;
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double energy1 = 0.0f;
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for (int64_t j = is0; j < is1; j++) {
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energy0 += fabs(pcmf32s[0][j]);
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energy1 += fabs(pcmf32s[1][j]);
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}
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if (energy0 > 1.1*energy1) {
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speaker = "0";
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} else if (energy1 > 1.1*energy0) {
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speaker = "1";
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} else {
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speaker = "?";
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}
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//printf("is0 = %lld, is1 = %lld, energy0 = %f, energy1 = %f, speaker = %s\n", is0, is1, energy0, energy1, speaker.c_str());
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if (!id_only) {
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speaker.insert(0, "(speaker ");
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speaker.append(")");
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}
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return speaker;
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}
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void whisper_print_progress_callback(struct whisper_context * /*ctx*/, struct whisper_state * /*state*/, int progress, void * user_data) {
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int progress_step = ((whisper_print_user_data *) user_data)->params->progress_step;
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int * progress_prev = &(((whisper_print_user_data *) user_data)->progress_prev);
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if (progress >= *progress_prev + progress_step) {
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*progress_prev += progress_step;
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fprintf(stderr, "%s: progress = %3d%%\n", __func__, progress);
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}
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}
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void whisper_print_segment_callback(struct whisper_context * ctx, struct whisper_state * /*state*/, int n_new, void * user_data) {
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const auto & params = *((whisper_print_user_data *) user_data)->params;
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const auto & pcmf32s = *((whisper_print_user_data *) user_data)->pcmf32s;
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const int n_segments = whisper_full_n_segments(ctx);
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std::string speaker = "";
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int64_t t0 = 0;
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int64_t t1 = 0;
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// print the last n_new segments
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const int s0 = n_segments - n_new;
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if (s0 == 0) {
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printf("\n");
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}
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for (int i = s0; i < n_segments; i++) {
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if (!params.no_timestamps || params.diarize) {
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t0 = whisper_full_get_segment_t0(ctx, i);
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t1 = whisper_full_get_segment_t1(ctx, i);
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}
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if (!params.no_timestamps) {
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printf("[%s --> %s] ", to_timestamp(t0).c_str(), to_timestamp(t1).c_str());
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}
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if (params.diarize && pcmf32s.size() == 2) {
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speaker = estimate_diarization_speaker(pcmf32s, t0, t1);
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}
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if (params.print_colors) {
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for (int j = 0; j < whisper_full_n_tokens(ctx, i); ++j) {
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if (params.print_special == false) {
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const whisper_token id = whisper_full_get_token_id(ctx, i, j);
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if (id >= whisper_token_eot(ctx)) {
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continue;
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}
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}
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const char * text = whisper_full_get_token_text(ctx, i, j);
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const float p = whisper_full_get_token_p (ctx, i, j);
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const int col = std::max(0, std::min((int) k_colors.size() - 1, (int) (std::pow(p, 3)*float(k_colors.size()))));
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printf("%s%s%s%s", speaker.c_str(), k_colors[col].c_str(), text, "\033[0m");
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}
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} else {
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const char * text = whisper_full_get_segment_text(ctx, i);
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printf("%s%s", speaker.c_str(), text);
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}
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if (params.tinydiarize) {
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if (whisper_full_get_segment_speaker_turn_next(ctx, i)) {
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printf("%s", params.tdrz_speaker_turn.c_str());
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}
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}
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// with timestamps or speakers: each segment on new line
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if (!params.no_timestamps || params.diarize) {
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printf("\n");
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}
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fflush(stdout);
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}
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}
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bool output_txt(struct whisper_context * ctx, const char * fname, const whisper_params & params, std::vector<std::vector<float>> pcmf32s) {
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std::ofstream fout(fname);
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if (!fout.is_open()) {
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fprintf(stderr, "%s: failed to open '%s' for writing\n", __func__, fname);
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return false;
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}
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fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname);
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const int n_segments = whisper_full_n_segments(ctx);
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for (int i = 0; i < n_segments; ++i) {
|
|
const char * text = whisper_full_get_segment_text(ctx, i);
|
|
std::string speaker = "";
|
|
|
|
if (params.diarize && pcmf32s.size() == 2)
|
|
{
|
|
const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
|
|
const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
|
|
speaker = estimate_diarization_speaker(pcmf32s, t0, t1);
|
|
}
|
|
|
|
fout << speaker << text << "\n";
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
bool output_vtt(struct whisper_context * ctx, const char * fname, const whisper_params & params, std::vector<std::vector<float>> pcmf32s) {
|
|
std::ofstream fout(fname);
|
|
if (!fout.is_open()) {
|
|
fprintf(stderr, "%s: failed to open '%s' for writing\n", __func__, fname);
|
|
return false;
|
|
}
|
|
|
|
fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname);
|
|
|
|
fout << "WEBVTT\n\n";
|
|
|
|
const int n_segments = whisper_full_n_segments(ctx);
|
|
for (int i = 0; i < n_segments; ++i) {
|
|
const char * text = whisper_full_get_segment_text(ctx, i);
|
|
const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
|
|
const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
|
|
std::string speaker = "";
|
|
|
|
if (params.diarize && pcmf32s.size() == 2)
|
|
{
|
|
speaker = estimate_diarization_speaker(pcmf32s, t0, t1, true);
|
|
speaker.insert(0, "<v Speaker");
|
|
speaker.append(">");
|
|
}
|
|
|
|
fout << to_timestamp(t0) << " --> " << to_timestamp(t1) << "\n";
|
|
fout << speaker << text << "\n\n";
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
bool output_srt(struct whisper_context * ctx, const char * fname, const whisper_params & params, std::vector<std::vector<float>> pcmf32s) {
|
|
std::ofstream fout(fname);
|
|
if (!fout.is_open()) {
|
|
fprintf(stderr, "%s: failed to open '%s' for writing\n", __func__, fname);
|
|
return false;
|
|
}
|
|
|
|
fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname);
|
|
|
|
const int n_segments = whisper_full_n_segments(ctx);
|
|
for (int i = 0; i < n_segments; ++i) {
|
|
const char * text = whisper_full_get_segment_text(ctx, i);
|
|
const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
|
|
const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
|
|
std::string speaker = "";
|
|
|
|
if (params.diarize && pcmf32s.size() == 2)
|
|
{
|
|
speaker = estimate_diarization_speaker(pcmf32s, t0, t1);
|
|
}
|
|
|
|
fout << i + 1 + params.offset_n << "\n";
|
|
fout << to_timestamp(t0, true) << " --> " << to_timestamp(t1, true) << "\n";
|
|
fout << speaker << text << "\n\n";
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
char *escape_double_quotes_and_backslashes(const char *str) {
|
|
if (str == NULL) {
|
|
return NULL;
|
|
}
|
|
|
|
size_t escaped_length = strlen(str) + 1;
|
|
|
|
for (size_t i = 0; str[i] != '\0'; i++) {
|
|
if (str[i] == '"' || str[i] == '\\') {
|
|
escaped_length++;
|
|
}
|
|
}
|
|
|
|
char *escaped = (char *)calloc(escaped_length, 1); // pre-zeroed
|
|
if (escaped == NULL) {
|
|
return NULL;
|
|
}
|
|
|
|
size_t pos = 0;
|
|
for (size_t i = 0; str[i] != '\0'; i++) {
|
|
if (str[i] == '"' || str[i] == '\\') {
|
|
escaped[pos++] = '\\';
|
|
}
|
|
escaped[pos++] = str[i];
|
|
}
|
|
|
|
// no need to set zero due to calloc() being used prior
|
|
|
|
return escaped;
|
|
}
|
|
|
|
bool output_csv(struct whisper_context * ctx, const char * fname, const whisper_params & params, std::vector<std::vector<float>> pcmf32s) {
|
|
std::ofstream fout(fname);
|
|
if (!fout.is_open()) {
|
|
fprintf(stderr, "%s: failed to open '%s' for writing\n", __func__, fname);
|
|
return false;
|
|
}
|
|
|
|
fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname);
|
|
|
|
const int n_segments = whisper_full_n_segments(ctx);
|
|
fout << "start,end,";
|
|
if (params.diarize && pcmf32s.size() == 2)
|
|
{
|
|
fout << "speaker,";
|
|
}
|
|
fout << "text\n";
|
|
|
|
for (int i = 0; i < n_segments; ++i) {
|
|
const char * text = whisper_full_get_segment_text(ctx, i);
|
|
const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
|
|
const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
|
|
char * text_escaped = escape_double_quotes_and_backslashes(text);
|
|
|
|
//need to multiply times returned from whisper_full_get_segment_t{0,1}() by 10 to get milliseconds.
|
|
fout << 10 * t0 << "," << 10 * t1 << ",";
|
|
if (params.diarize && pcmf32s.size() == 2)
|
|
{
|
|
fout << estimate_diarization_speaker(pcmf32s, t0, t1, true) << ",";
|
|
}
|
|
fout << "\"" << text_escaped << "\"\n";
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
bool output_score(struct whisper_context * ctx, const char * fname, const whisper_params & /*params*/, std::vector<std::vector<float>> /*pcmf32s*/) {
|
|
std::ofstream fout(fname);
|
|
fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname);
|
|
|
|
const int n_segments = whisper_full_n_segments(ctx);
|
|
// fprintf(stderr,"segments: %d\n",n_segments);
|
|
for (int i = 0; i < n_segments; ++i) {
|
|
const int n_tokens = whisper_full_n_tokens(ctx, i);
|
|
// fprintf(stderr,"tokens: %d\n",n_tokens);
|
|
for (int j = 0; j < n_tokens; j++) {
|
|
auto token = whisper_full_get_token_text(ctx, i, j);
|
|
auto probability = whisper_full_get_token_p(ctx, i, j);
|
|
fout << token << '\t' << probability << std::endl;
|
|
// fprintf(stderr,"token: %s %f\n",token,probability);
|
|
}
|
|
}
|
|
return true;
|
|
}
|
|
|
|
bool output_json(
|
|
struct whisper_context * ctx,
|
|
const char * fname,
|
|
const whisper_params & params,
|
|
std::vector<std::vector<float>> pcmf32s,
|
|
bool full) {
|
|
std::ofstream fout(fname);
|
|
int indent = 0;
|
|
|
|
auto doindent = [&]() {
|
|
for (int i = 0; i < indent; i++) fout << "\t";
|
|
};
|
|
|
|
auto start_arr = [&](const char *name) {
|
|
doindent();
|
|
fout << "\"" << name << "\": [\n";
|
|
indent++;
|
|
};
|
|
|
|
auto end_arr = [&](bool end) {
|
|
indent--;
|
|
doindent();
|
|
fout << (end ? "]\n" : "],\n");
|
|
};
|
|
|
|
auto start_obj = [&](const char *name) {
|
|
doindent();
|
|
if (name) {
|
|
fout << "\"" << name << "\": {\n";
|
|
} else {
|
|
fout << "{\n";
|
|
}
|
|
indent++;
|
|
};
|
|
|
|
auto end_obj = [&](bool end) {
|
|
indent--;
|
|
doindent();
|
|
fout << (end ? "}\n" : "},\n");
|
|
};
|
|
|
|
auto start_value = [&](const char *name) {
|
|
doindent();
|
|
fout << "\"" << name << "\": ";
|
|
};
|
|
|
|
auto value_s = [&](const char *name, const char *val, bool end) {
|
|
start_value(name);
|
|
char * val_escaped = escape_double_quotes_and_backslashes(val);
|
|
fout << "\"" << val_escaped << (end ? "\"\n" : "\",\n");
|
|
free(val_escaped);
|
|
};
|
|
|
|
auto end_value = [&](bool end) {
|
|
fout << (end ? "\n" : ",\n");
|
|
};
|
|
|
|
auto value_i = [&](const char *name, const int64_t val, bool end) {
|
|
start_value(name);
|
|
fout << val;
|
|
end_value(end);
|
|
};
|
|
|
|
auto value_f = [&](const char *name, const float val, bool end) {
|
|
start_value(name);
|
|
fout << val;
|
|
end_value(end);
|
|
};
|
|
|
|
auto value_b = [&](const char *name, const bool val, bool end) {
|
|
start_value(name);
|
|
fout << (val ? "true" : "false");
|
|
end_value(end);
|
|
};
|
|
|
|
auto times_o = [&](int64_t t0, int64_t t1, bool end) {
|
|
start_obj("timestamps");
|
|
value_s("from", to_timestamp(t0, true).c_str(), false);
|
|
value_s("to", to_timestamp(t1, true).c_str(), true);
|
|
end_obj(false);
|
|
start_obj("offsets");
|
|
value_i("from", t0 * 10, false);
|
|
value_i("to", t1 * 10, true);
|
|
end_obj(end);
|
|
};
|
|
|
|
if (!fout.is_open()) {
|
|
fprintf(stderr, "%s: failed to open '%s' for writing\n", __func__, fname);
|
|
return false;
|
|
}
|
|
|
|
fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname);
|
|
start_obj(nullptr);
|
|
value_s("systeminfo", whisper_print_system_info(), false);
|
|
start_obj("model");
|
|
value_s("type", whisper_model_type_readable(ctx), false);
|
|
value_b("multilingual", whisper_is_multilingual(ctx), false);
|
|
value_i("vocab", whisper_model_n_vocab(ctx), false);
|
|
start_obj("audio");
|
|
value_i("ctx", whisper_model_n_audio_ctx(ctx), false);
|
|
value_i("state", whisper_model_n_audio_state(ctx), false);
|
|
value_i("head", whisper_model_n_audio_head(ctx), false);
|
|
value_i("layer", whisper_model_n_audio_layer(ctx), true);
|
|
end_obj(false);
|
|
start_obj("text");
|
|
value_i("ctx", whisper_model_n_text_ctx(ctx), false);
|
|
value_i("state", whisper_model_n_text_state(ctx), false);
|
|
value_i("head", whisper_model_n_text_head(ctx), false);
|
|
value_i("layer", whisper_model_n_text_layer(ctx), true);
|
|
end_obj(false);
|
|
value_i("mels", whisper_model_n_mels(ctx), false);
|
|
value_i("ftype", whisper_model_ftype(ctx), true);
|
|
end_obj(false);
|
|
start_obj("params");
|
|
value_s("model", params.model.c_str(), false);
|
|
value_s("language", params.language.c_str(), false);
|
|
value_b("translate", params.translate, true);
|
|
end_obj(false);
|
|
start_obj("result");
|
|
value_s("language", whisper_lang_str(whisper_full_lang_id(ctx)), true);
|
|
end_obj(false);
|
|
start_arr("transcription");
|
|
|
|
const int n_segments = whisper_full_n_segments(ctx);
|
|
for (int i = 0; i < n_segments; ++i) {
|
|
const char * text = whisper_full_get_segment_text(ctx, i);
|
|
|
|
const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
|
|
const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
|
|
|
|
start_obj(nullptr);
|
|
times_o(t0, t1, false);
|
|
value_s("text", text, !params.diarize && !params.tinydiarize && !full);
|
|
|
|
if (full) {
|
|
start_arr("tokens");
|
|
const int n = whisper_full_n_tokens(ctx, i);
|
|
for (int j = 0; j < n; ++j) {
|
|
auto token = whisper_full_get_token_data(ctx, i, j);
|
|
start_obj(nullptr);
|
|
value_s("text", whisper_token_to_str(ctx, token.id), false);
|
|
if(token.t0 > -1 && token.t1 > -1) {
|
|
// If we have per-token timestamps, write them out
|
|
times_o(token.t0, token.t1, false);
|
|
}
|
|
value_i("id", token.id, false);
|
|
value_f("p", token.p, false);
|
|
value_f("t_dtw", token.t_dtw, true);
|
|
end_obj(j == (n - 1));
|
|
}
|
|
end_arr(!params.diarize && !params.tinydiarize);
|
|
}
|
|
|
|
if (params.diarize && pcmf32s.size() == 2) {
|
|
value_s("speaker", estimate_diarization_speaker(pcmf32s, t0, t1, true).c_str(), true);
|
|
}
|
|
|
|
if (params.tinydiarize) {
|
|
value_b("speaker_turn_next", whisper_full_get_segment_speaker_turn_next(ctx, i), true);
|
|
}
|
|
end_obj(i == (n_segments - 1));
|
|
}
|
|
|
|
end_arr(true);
|
|
end_obj(true);
|
|
return true;
|
|
}
|
|
|
|
// karaoke video generation
|
|
// outputs a bash script that uses ffmpeg to generate a video with the subtitles
|
|
// TODO: font parameter adjustments
|
|
bool output_wts(struct whisper_context * ctx, const char * fname, const char * fname_inp, const whisper_params & params, float t_sec, std::vector<std::vector<float>> pcmf32s) {
|
|
std::ofstream fout(fname);
|
|
|
|
fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname);
|
|
|
|
static const char * font = params.font_path.c_str();
|
|
|
|
std::ifstream fin(font);
|
|
if (!fin.is_open()) {
|
|
fprintf(stderr, "%s: font not found at '%s', please specify a monospace font with -fp\n", __func__, font);
|
|
return false;
|
|
}
|
|
|
|
fout << "#!/bin/bash" << "\n";
|
|
fout << "\n";
|
|
|
|
fout << "ffmpeg -i " << fname_inp << " -f lavfi -i color=size=1200x120:duration=" << t_sec << ":rate=25:color=black -vf \"";
|
|
|
|
for (int i = 0; i < whisper_full_n_segments(ctx); i++) {
|
|
const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
|
|
const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
|
|
|
|
const int n = whisper_full_n_tokens(ctx, i);
|
|
|
|
std::vector<whisper_token_data> tokens(n);
|
|
for (int j = 0; j < n; ++j) {
|
|
tokens[j] = whisper_full_get_token_data(ctx, i, j);
|
|
}
|
|
|
|
if (i > 0) {
|
|
fout << ",";
|
|
}
|
|
|
|
// background text
|
|
fout << "drawtext=fontfile='" << font << "':fontsize=24:fontcolor=gray:x=(w-text_w)/2:y=h/2:text='':enable='between(t," << t0/100.0 << "," << t0/100.0 << ")'";
|
|
|
|
bool is_first = true;
|
|
std::string speaker = "";
|
|
|
|
if (params.diarize && pcmf32s.size() == 2) {
|
|
speaker = estimate_diarization_speaker(pcmf32s, t0, t1);
|
|
}
|
|
|
|
for (int j = 0; j < n; ++j) {
|
|
const auto & token = tokens[j];
|
|
|
|
if (tokens[j].id >= whisper_token_eot(ctx)) {
|
|
continue;
|
|
}
|
|
|
|
std::string txt_bg = "";
|
|
std::string txt_fg = ""; // highlight token
|
|
std::string txt_ul = ""; // underline
|
|
|
|
if (params.diarize && pcmf32s.size() == 2) {
|
|
txt_bg = speaker;
|
|
txt_fg = speaker;
|
|
txt_ul = "\\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ ";
|
|
}
|
|
|
|
txt_bg.append("> ");
|
|
txt_fg.append("> ");
|
|
txt_ul.append("\\ \\ ");
|
|
|
|
{
|
|
for (int k = 0; k < n; ++k) {
|
|
const auto & token2 = tokens[k];
|
|
|
|
if (tokens[k].id >= whisper_token_eot(ctx)) {
|
|
continue;
|
|
}
|
|
|
|
const std::string txt = whisper_token_to_str(ctx, token2.id);
|
|
|
|
txt_bg += txt;
|
|
|
|
if (k == j) {
|
|
for (int l = 0; l < (int) txt.size(); ++l) {
|
|
txt_fg += txt[l];
|
|
txt_ul += "_";
|
|
}
|
|
txt_fg += "|";
|
|
} else {
|
|
for (int l = 0; l < (int) txt.size(); ++l) {
|
|
txt_fg += "\\ ";
|
|
txt_ul += "\\ ";
|
|
}
|
|
}
|
|
}
|
|
|
|
::replace_all(txt_bg, "'", "\u2019");
|
|
::replace_all(txt_bg, "\"", "\\\"");
|
|
::replace_all(txt_fg, "'", "\u2019");
|
|
::replace_all(txt_fg, "\"", "\\\"");
|
|
}
|
|
|
|
if (is_first) {
|
|
// background text
|
|
fout << ",drawtext=fontfile='" << font << "':fontsize=24:fontcolor=gray:x=(w-text_w)/2:y=h/2:text='" << txt_bg << "':enable='between(t," << t0/100.0 << "," << t1/100.0 << ")'";
|
|
is_first = false;
|
|
}
|
|
|
|
// foreground text
|
|
fout << ",drawtext=fontfile='" << font << "':fontsize=24:fontcolor=lightgreen:x=(w-text_w)/2+8:y=h/2:text='" << txt_fg << "':enable='between(t," << token.t0/100.0 << "," << token.t1/100.0 << ")'";
|
|
|
|
// underline
|
|
fout << ",drawtext=fontfile='" << font << "':fontsize=24:fontcolor=lightgreen:x=(w-text_w)/2+8:y=h/2+16:text='" << txt_ul << "':enable='between(t," << token.t0/100.0 << "," << token.t1/100.0 << ")'";
|
|
}
|
|
}
|
|
|
|
fout << "\" -c:v libx264 -pix_fmt yuv420p -y " << fname_inp << ".mp4" << "\n";
|
|
|
|
fout << "\n\n";
|
|
fout << "echo \"Your video has been saved to " << fname_inp << ".mp4\"" << "\n";
|
|
fout << "\n";
|
|
fout << "echo \" ffplay " << fname_inp << ".mp4\"\n";
|
|
fout << "\n";
|
|
|
|
fout.close();
|
|
|
|
fprintf(stderr, "%s: run 'source %s' to generate karaoke video\n", __func__, fname);
|
|
|
|
return true;
|
|
}
|
|
|
|
bool output_lrc(struct whisper_context * ctx, const char * fname, const whisper_params & params, std::vector<std::vector<float>> pcmf32s) {
|
|
std::ofstream fout(fname);
|
|
if (!fout.is_open()) {
|
|
fprintf(stderr, "%s: failed to open '%s' for writing\n", __func__, fname);
|
|
return false;
|
|
}
|
|
|
|
fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname);
|
|
|
|
fout << "[by:whisper.cpp]\n";
|
|
|
|
const int n_segments = whisper_full_n_segments(ctx);
|
|
for (int i = 0; i < n_segments; ++i) {
|
|
const char * text = whisper_full_get_segment_text(ctx, i);
|
|
const int64_t t = whisper_full_get_segment_t0(ctx, i);
|
|
|
|
int64_t msec = t * 10;
|
|
int64_t min = msec / (1000 * 60);
|
|
msec = msec - min * (1000 * 60);
|
|
int64_t sec = msec / 1000;
|
|
msec = msec - sec * 1000;
|
|
|
|
char buf[16];
|
|
snprintf(buf, sizeof(buf), "%02d:%02d.%02d", (int) min, (int) sec, (int) ( msec / 10));
|
|
std::string timestamp_lrc = std::string(buf);
|
|
std::string speaker = "";
|
|
|
|
if (params.diarize && pcmf32s.size() == 2)
|
|
{
|
|
const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
|
|
const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
|
|
speaker = estimate_diarization_speaker(pcmf32s, t0, t1);
|
|
}
|
|
|
|
fout << '[' << timestamp_lrc << ']' << speaker << text << "\n";
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
|
|
void cb_log_disable(enum ggml_log_level , const char * , void * ) { }
|
|
|
|
int main(int argc, char ** argv) {
|
|
whisper_params params;
|
|
|
|
if (whisper_params_parse(argc, argv, params) == false) {
|
|
whisper_print_usage(argc, argv, params);
|
|
return 1;
|
|
}
|
|
|
|
// remove non-existent files
|
|
for (auto it = params.fname_inp.begin(); it != params.fname_inp.end();) {
|
|
const auto fname_inp = it->c_str();
|
|
|
|
if (*it != "-" && !is_file_exist(fname_inp)) {
|
|
fprintf(stderr, "error: input file not found '%s'\n", fname_inp);
|
|
it = params.fname_inp.erase(it);
|
|
continue;
|
|
}
|
|
|
|
it++;
|
|
}
|
|
|
|
if (params.fname_inp.empty()) {
|
|
fprintf(stderr, "error: no input files specified\n");
|
|
whisper_print_usage(argc, argv, params);
|
|
return 2;
|
|
}
|
|
|
|
if (params.language != "auto" && whisper_lang_id(params.language.c_str()) == -1) {
|
|
fprintf(stderr, "error: unknown language '%s'\n", params.language.c_str());
|
|
whisper_print_usage(argc, argv, params);
|
|
exit(0);
|
|
}
|
|
|
|
if (params.diarize && params.tinydiarize) {
|
|
fprintf(stderr, "error: cannot use both --diarize and --tinydiarize\n");
|
|
whisper_print_usage(argc, argv, params);
|
|
exit(0);
|
|
}
|
|
|
|
if (params.no_prints) {
|
|
whisper_log_set(cb_log_disable, NULL);
|
|
}
|
|
|
|
// whisper init
|
|
|
|
struct whisper_context_params cparams = whisper_context_default_params();
|
|
cparams.use_gpu = params.use_gpu;
|
|
|
|
if (!params.dtw.empty()) {
|
|
cparams.dtw_token_timestamps = true;
|
|
cparams.dtw_aheads_preset = WHISPER_AHEADS_NONE;
|
|
|
|
if (params.dtw == "tiny") cparams.dtw_aheads_preset = WHISPER_AHEADS_TINY;
|
|
if (params.dtw == "tiny.en") cparams.dtw_aheads_preset = WHISPER_AHEADS_TINY_EN;
|
|
if (params.dtw == "base") cparams.dtw_aheads_preset = WHISPER_AHEADS_BASE;
|
|
if (params.dtw == "base.en") cparams.dtw_aheads_preset = WHISPER_AHEADS_BASE_EN;
|
|
if (params.dtw == "small") cparams.dtw_aheads_preset = WHISPER_AHEADS_SMALL;
|
|
if (params.dtw == "small.en") cparams.dtw_aheads_preset = WHISPER_AHEADS_SMALL_EN;
|
|
if (params.dtw == "medium") cparams.dtw_aheads_preset = WHISPER_AHEADS_MEDIUM;
|
|
if (params.dtw == "medium.en") cparams.dtw_aheads_preset = WHISPER_AHEADS_MEDIUM_EN;
|
|
if (params.dtw == "large.v1") cparams.dtw_aheads_preset = WHISPER_AHEADS_LARGE_V1;
|
|
if (params.dtw == "large.v2") cparams.dtw_aheads_preset = WHISPER_AHEADS_LARGE_V2;
|
|
if (params.dtw == "large.v3") cparams.dtw_aheads_preset = WHISPER_AHEADS_LARGE_V3;
|
|
|
|
if (cparams.dtw_aheads_preset == WHISPER_AHEADS_NONE) {
|
|
fprintf(stderr, "error: unknown DTW preset '%s'\n", params.dtw.c_str());
|
|
return 3;
|
|
}
|
|
}
|
|
|
|
struct whisper_context * ctx = whisper_init_from_file_with_params(params.model.c_str(), cparams);
|
|
|
|
if (ctx == nullptr) {
|
|
fprintf(stderr, "error: failed to initialize whisper context\n");
|
|
return 3;
|
|
}
|
|
|
|
// initialize openvino encoder. this has no effect on whisper.cpp builds that don't have OpenVINO configured
|
|
whisper_ctx_init_openvino_encoder(ctx, nullptr, params.openvino_encode_device.c_str(), nullptr);
|
|
|
|
for (int f = 0; f < (int) params.fname_inp.size(); ++f) {
|
|
const auto fname_inp = params.fname_inp[f];
|
|
const auto fname_out = f < (int) params.fname_out.size() && !params.fname_out[f].empty() ? params.fname_out[f] : params.fname_inp[f];
|
|
|
|
std::vector<float> pcmf32; // mono-channel F32 PCM
|
|
std::vector<std::vector<float>> pcmf32s; // stereo-channel F32 PCM
|
|
|
|
if (!::read_wav(fname_inp, pcmf32, pcmf32s, params.diarize)) {
|
|
fprintf(stderr, "error: failed to read WAV file '%s'\n", fname_inp.c_str());
|
|
continue;
|
|
}
|
|
|
|
if (!whisper_is_multilingual(ctx)) {
|
|
if (params.language != "en" || params.translate) {
|
|
params.language = "en";
|
|
params.translate = false;
|
|
fprintf(stderr, "%s: WARNING: model is not multilingual, ignoring language and translation options\n", __func__);
|
|
}
|
|
}
|
|
if (params.detect_language) {
|
|
params.language = "auto";
|
|
}
|
|
|
|
if (!params.no_prints) {
|
|
// print system information
|
|
fprintf(stderr, "\n");
|
|
fprintf(stderr, "system_info: n_threads = %d / %d | %s\n",
|
|
params.n_threads*params.n_processors, std::thread::hardware_concurrency(), whisper_print_system_info());
|
|
|
|
// print some info about the processing
|
|
fprintf(stderr, "\n");
|
|
fprintf(stderr, "%s: processing '%s' (%d samples, %.1f sec), %d threads, %d processors, %d beams + best of %d, lang = %s, task = %s, %stimestamps = %d ...\n",
|
|
__func__, fname_inp.c_str(), int(pcmf32.size()), float(pcmf32.size())/WHISPER_SAMPLE_RATE,
|
|
params.n_threads, params.n_processors, params.beam_size, params.best_of,
|
|
params.language.c_str(),
|
|
params.translate ? "translate" : "transcribe",
|
|
params.tinydiarize ? "tdrz = 1, " : "",
|
|
params.no_timestamps ? 0 : 1);
|
|
|
|
fprintf(stderr, "\n");
|
|
}
|
|
|
|
// run the inference
|
|
{
|
|
whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_GREEDY);
|
|
|
|
wparams.strategy = params.beam_size > 1 ? WHISPER_SAMPLING_BEAM_SEARCH : WHISPER_SAMPLING_GREEDY;
|
|
|
|
wparams.print_realtime = false;
|
|
wparams.print_progress = params.print_progress;
|
|
wparams.print_timestamps = !params.no_timestamps;
|
|
wparams.print_special = params.print_special;
|
|
wparams.translate = params.translate;
|
|
wparams.language = params.language.c_str();
|
|
wparams.detect_language = params.detect_language;
|
|
wparams.n_threads = params.n_threads;
|
|
wparams.n_max_text_ctx = params.max_context >= 0 ? params.max_context : wparams.n_max_text_ctx;
|
|
wparams.offset_ms = params.offset_t_ms;
|
|
wparams.duration_ms = params.duration_ms;
|
|
|
|
wparams.token_timestamps = params.output_wts || params.output_jsn_full || params.max_len > 0;
|
|
wparams.thold_pt = params.word_thold;
|
|
wparams.max_len = params.output_wts && params.max_len == 0 ? 60 : params.max_len;
|
|
wparams.split_on_word = params.split_on_word;
|
|
wparams.audio_ctx = params.audio_ctx;
|
|
|
|
wparams.speed_up = params.speed_up;
|
|
wparams.debug_mode = params.debug_mode;
|
|
|
|
wparams.tdrz_enable = params.tinydiarize; // [TDRZ]
|
|
|
|
wparams.initial_prompt = params.prompt.c_str();
|
|
|
|
wparams.greedy.best_of = params.best_of;
|
|
wparams.beam_search.beam_size = params.beam_size;
|
|
|
|
wparams.temperature_inc = params.no_fallback ? 0.0f : wparams.temperature_inc;
|
|
wparams.entropy_thold = params.entropy_thold;
|
|
wparams.logprob_thold = params.logprob_thold;
|
|
|
|
wparams.no_timestamps = params.no_timestamps;
|
|
|
|
whisper_print_user_data user_data = { ¶ms, &pcmf32s, 0 };
|
|
|
|
// this callback is called on each new segment
|
|
if (!wparams.print_realtime) {
|
|
wparams.new_segment_callback = whisper_print_segment_callback;
|
|
wparams.new_segment_callback_user_data = &user_data;
|
|
}
|
|
|
|
if (wparams.print_progress) {
|
|
wparams.progress_callback = whisper_print_progress_callback;
|
|
wparams.progress_callback_user_data = &user_data;
|
|
}
|
|
|
|
// examples for abort mechanism
|
|
// in examples below, we do not abort the processing, but we could if the flag is set to true
|
|
|
|
// the callback is called before every encoder run - if it returns false, the processing is aborted
|
|
{
|
|
static bool is_aborted = false; // NOTE: this should be atomic to avoid data race
|
|
|
|
wparams.encoder_begin_callback = [](struct whisper_context * /*ctx*/, struct whisper_state * /*state*/, void * user_data) {
|
|
bool is_aborted = *(bool*)user_data;
|
|
return !is_aborted;
|
|
};
|
|
wparams.encoder_begin_callback_user_data = &is_aborted;
|
|
}
|
|
|
|
// the callback is called before every computation - if it returns true, the computation is aborted
|
|
{
|
|
static bool is_aborted = false; // NOTE: this should be atomic to avoid data race
|
|
|
|
wparams.abort_callback = [](void * user_data) {
|
|
bool is_aborted = *(bool*)user_data;
|
|
return is_aborted;
|
|
};
|
|
wparams.abort_callback_user_data = &is_aborted;
|
|
}
|
|
|
|
if (whisper_full_parallel(ctx, wparams, pcmf32.data(), pcmf32.size(), params.n_processors) != 0) {
|
|
fprintf(stderr, "%s: failed to process audio\n", argv[0]);
|
|
return 10;
|
|
}
|
|
}
|
|
|
|
// output stuff
|
|
{
|
|
printf("\n");
|
|
|
|
// output to text file
|
|
if (params.output_txt) {
|
|
const auto fname_txt = fname_out + ".txt";
|
|
output_txt(ctx, fname_txt.c_str(), params, pcmf32s);
|
|
}
|
|
|
|
// output to VTT file
|
|
if (params.output_vtt) {
|
|
const auto fname_vtt = fname_out + ".vtt";
|
|
output_vtt(ctx, fname_vtt.c_str(), params, pcmf32s);
|
|
}
|
|
|
|
// output to SRT file
|
|
if (params.output_srt) {
|
|
const auto fname_srt = fname_out + ".srt";
|
|
output_srt(ctx, fname_srt.c_str(), params, pcmf32s);
|
|
}
|
|
|
|
// output to WTS file
|
|
if (params.output_wts) {
|
|
const auto fname_wts = fname_out + ".wts";
|
|
output_wts(ctx, fname_wts.c_str(), fname_inp.c_str(), params, float(pcmf32.size() + 1000)/WHISPER_SAMPLE_RATE, pcmf32s);
|
|
}
|
|
|
|
// output to CSV file
|
|
if (params.output_csv) {
|
|
const auto fname_csv = fname_out + ".csv";
|
|
output_csv(ctx, fname_csv.c_str(), params, pcmf32s);
|
|
}
|
|
|
|
// output to JSON file
|
|
if (params.output_jsn) {
|
|
const auto fname_jsn = fname_out + ".json";
|
|
output_json(ctx, fname_jsn.c_str(), params, pcmf32s, params.output_jsn_full);
|
|
}
|
|
|
|
// output to LRC file
|
|
if (params.output_lrc) {
|
|
const auto fname_lrc = fname_out + ".lrc";
|
|
output_lrc(ctx, fname_lrc.c_str(), params, pcmf32s);
|
|
}
|
|
|
|
// output to score file
|
|
if (params.log_score) {
|
|
const auto fname_score = fname_out + ".score.txt";
|
|
output_score(ctx, fname_score.c_str(), params, pcmf32s);
|
|
}
|
|
}
|
|
}
|
|
|
|
whisper_print_timings(ctx);
|
|
whisper_free(ctx);
|
|
|
|
return 0;
|
|
}
|