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#include "whisper.h"
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// third-party utilities
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// use your favorite implementations
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#define DR_WAV_IMPLEMENTATION
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#include "dr_wav.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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// Terminal color map. 10 colors grouped in ranges [0.0, 0.1, ..., 0.9]
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// Lowest is red, middle is yellow, highest is green.
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const std::vector<std::string> k_colors = {
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"\033[38;5;196m", "\033[38;5;202m", "\033[38;5;208m", "\033[38;5;214m", "\033[38;5;220m",
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"\033[38;5;226m", "\033[38;5;190m", "\033[38;5;154m", "\033[38;5;118m", "\033[38;5;82m",
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};
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// 500 -> 00:05.000
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// 6000 -> 01:00.000
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std::string to_timestamp(int64_t t, bool comma = false) {
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int64_t msec = t * 10;
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int64_t hr = msec / (1000 * 60 * 60);
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msec = msec - hr * (1000 * 60 * 60);
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int64_t min = msec / (1000 * 60);
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msec = msec - min * (1000 * 60);
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int64_t sec = msec / 1000;
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msec = msec - sec * 1000;
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char buf[32];
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snprintf(buf, sizeof(buf), "%02d:%02d:%02d%s%03d", (int) hr, (int) min, (int) sec, comma ? "," : ".", (int) msec);
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return std::string(buf);
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}
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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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// a cost-function that is high for text that takes longer to pronounce
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float voice_length(const std::string & text) {
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float res = 0.0f;
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// letters - add 1
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// digits - add 3
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// else - 0
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for (size_t i = 0; i < text.size(); ++i) {
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if (text[i] >= '0' && text[i] <= '9') {
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res += 3.0f;
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} else if (text[i] >= 'a' && text[i] <= 'z') {
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res += 1.0f;
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} else if (text[i] >= 'A' && text[i] <= 'Z') {
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res += 1.0f;
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} else {
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res += 0.01f;
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}
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// TODO: support unicode
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}
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return res;
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}
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// command-line parameters
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struct whisper_params {
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int32_t seed = -1; // RNG seed, not used currently
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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 max_context = -1;
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float word_thold = 0.1f;
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bool verbose = false;
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bool translate = 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 print_special_tokens = false;
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bool print_colors = false;
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bool no_timestamps = false;
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std::string language = "en";
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std::string model = "models/ggml-base.en.bin";
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std::vector<std::string> fname_inp = {};
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};
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void whisper_print_usage(int argc, char ** argv, const whisper_params & params);
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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[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 == "-s" || arg == "--seed") {
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params.seed = std::stoi(argv[++i]);
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} else if (arg == "-t" || arg == "--threads") {
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params.n_threads = std::stoi(argv[++i]);
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} else if (arg == "-p" || arg == "--processors") {
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params.n_processors = std::stoi(argv[++i]);
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} else if (arg == "-ot" || arg == "--offset-t") {
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params.offset_t_ms = std::stoi(argv[++i]);
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} else if (arg == "-on" || arg == "--offset-n") {
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params.offset_n = std::stoi(argv[++i]);
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} else if (arg == "-mc" || arg == "--max-context") {
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params.max_context = std::stoi(argv[++i]);
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} else if (arg == "-wt" || arg == "--word-thold") {
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params.word_thold = std::stof(argv[++i]);
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} else if (arg == "-v" || arg == "--verbose") {
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params.verbose = true;
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} else if (arg == "--translate") {
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params.translate = true;
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} else if (arg == "-l" || arg == "--language") {
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params.language = argv[++i];
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if (whisper_lang_id(params.language.c_str()) == -1) {
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fprintf(stderr, "error: unknown language '%s'\n", params.language.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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} else if (arg == "-otxt" || arg == "--output-txt") {
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params.output_txt = true;
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} else if (arg == "-ovtt" || arg == "--output-vtt") {
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params.output_vtt = true;
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} else if (arg == "-osrt" || arg == "--output-srt") {
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params.output_srt = true;
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} else if (arg == "-owts" || arg == "--output-words") {
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params.output_wts = true;
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} else if (arg == "-ps" || arg == "--print_special") {
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params.print_special_tokens = true;
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} else if (arg == "-pc" || arg == "--print_colors") {
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params.print_colors = true;
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} else if (arg == "-nt" || arg == "--no_timestamps") {
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params.no_timestamps = true;
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} else if (arg == "-m" || arg == "--model") {
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params.model = argv[++i];
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} else if (arg == "-f" || arg == "--file") {
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params.fname_inp.push_back(argv[++i]);
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} else 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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} 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 show this help message and exit\n");
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fprintf(stderr, " -s SEED, --seed SEED RNG seed (default: -1)\n");
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fprintf(stderr, " -t N, --threads N number of threads to use during computation (default: %d)\n", params.n_threads);
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fprintf(stderr, " -p N, --processors N number of processors to use during computation (default: %d)\n", params.n_processors);
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fprintf(stderr, " -ot N, --offset-t N time offset in milliseconds (default: %d)\n", params.offset_t_ms);
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fprintf(stderr, " -on N, --offset-n N segment index offset (default: %d)\n", params.offset_n);
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fprintf(stderr, " -mc N, --max-context N maximum number of text context tokens to store (default: max)\n");
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fprintf(stderr, " -wt N, --word-thold N word timestamp probability threshold (default: %f)\n", params.word_thold);
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fprintf(stderr, " -v, --verbose verbose output\n");
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fprintf(stderr, " --translate translate from source language to english\n");
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fprintf(stderr, " -otxt, --output-txt output result in a text file\n");
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fprintf(stderr, " -ovtt, --output-vtt output result in a vtt file\n");
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fprintf(stderr, " -osrt, --output-srt output result in a srt file\n");
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fprintf(stderr, " -owts, --output-words output word-level timestamps to a text file\n");
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fprintf(stderr, " -ps, --print_special print special tokens\n");
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fprintf(stderr, " -pc, --print_colors print colors\n");
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fprintf(stderr, " -nt, --no_timestamps do not print timestamps\n");
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fprintf(stderr, " -l LANG, --language LANG spoken language (default: %s)\n", params.language.c_str());
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fprintf(stderr, " -m FNAME, --model FNAME model path (default: %s)\n", params.model.c_str());
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fprintf(stderr, " -f FNAME, --file FNAME input WAV file path\n");
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fprintf(stderr, "\n");
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}
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void whisper_print_segment_callback(struct whisper_context * ctx, void * user_data) {
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const whisper_params & params = *(whisper_params *) user_data;
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const int n_segments = whisper_full_n_segments(ctx);
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// print the last segment
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const int i = n_segments - 1;
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if (i == 0) {
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printf("\n");
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}
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if (params.no_timestamps) {
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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_tokens == 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(), (int) (std::pow(p, 3)*float(k_colors.size()))));
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printf("%s%s%s", 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", text);
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}
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fflush(stdout);
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} else {
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const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
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const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
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if (params.print_colors) {
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printf("[%s --> %s] ", to_timestamp(t0).c_str(), to_timestamp(t1).c_str());
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for (int j = 0; j < whisper_full_n_tokens(ctx, i); ++j) {
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if (params.print_special_tokens == 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(), (int) (std::pow(p, 3)*float(k_colors.size()))));
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printf("%s%s%s", k_colors[col].c_str(), text, "\033[0m");
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}
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printf("\n");
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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] %s\n", to_timestamp(t0).c_str(), to_timestamp(t1).c_str(), text);
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}
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}
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}
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bool output_txt(struct whisper_context * ctx, const char * fname) {
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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) {
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const char * text = whisper_full_get_segment_text(ctx, i);
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fout << text;
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}
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return true;
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}
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bool output_vtt(struct whisper_context * ctx, const char * fname) {
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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 9;
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}
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fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname);
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fout << "WEBVTT\n\n";
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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) {
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const char * text = whisper_full_get_segment_text(ctx, i);
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const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
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const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
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fout << to_timestamp(t0) << " --> " << to_timestamp(t1) << "\n";
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fout << text << "\n\n";
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}
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return true;
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}
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bool output_srt(struct whisper_context * ctx, const char * fname, const whisper_params & params) {
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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) {
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const char * text = whisper_full_get_segment_text(ctx, i);
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const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
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const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
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fout << i + 1 + params.offset_n << "\n";
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fout << to_timestamp(t0, true) << " --> " << to_timestamp(t1, true) << "\n";
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fout << text << "\n\n";
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}
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return true;
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}
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struct Interval {
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int x0;
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int x1;
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int type;
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};
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struct IntervalArray : public std::vector<Interval> {
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int F = -1;
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};
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std::vector<IntervalArray> fit_text_to_audio(const IntervalArray & input, int N, float alpha = 2.0f) {
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const int x_max = input.back().x1;
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std::vector<int> ls;
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std::vector<int> rs;
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std::vector<int> xs;
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std::vector<int> gs;
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int G_max = 0;
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for (const auto & ii : input) {
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if (ii.type == 0) {
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continue;
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}
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ls.push_back(ii.x0);
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rs.push_back(ii.x1);
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xs.push_back(ii.x0);
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xs.push_back(ii.x1);
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gs.push_back(G_max);
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G_max += ii.x1 - ii.x0;
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gs.push_back(G_max);
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}
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const int inf = 100*G_max;
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struct Cell {
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int fval = -1;
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int xprev = -1;
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int w = -1;
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};
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// Function F + initial conditions
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std::vector<std::vector<Cell>> F(xs.size());
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for (auto & Fx : F) {
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Fx.resize(N + 1);
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for (auto & f : Fx) f.fval = inf;
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Fx[0].fval = alpha*G_max;
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}
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// DP core
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for (int n = 1; n <= N; ++n) {
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for (int ix = 0; ix < (int) xs.size(); ++ix) {
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const int x = xs[ix];
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int best_fval = inf;
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int best_xprev = -1;
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int best_w = -1;
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for (int il = 0; il < (int) ls.size(); ++il) {
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const int l = ls[il];
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if (l < n) continue;
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if (l >= x) break;
|
|
|
|
|
|
for (int ir = il; ir < (int) rs.size(); ++ir) {
|
|
|
const int r = rs[ir];
|
|
|
|
|
|
if (r < l + 1) continue;
|
|
|
if (r > x) break;
|
|
|
|
|
|
const int cur_fval = F[2*il][n - 1].fval + (r - l) - (alpha + 1)*(gs[2*ir + 1] - gs[2*il]);
|
|
|
|
|
|
if (cur_fval < best_fval) {
|
|
|
best_fval = cur_fval;
|
|
|
best_xprev = 2*il;
|
|
|
best_w = r - l;
|
|
|
}
|
|
|
}
|
|
|
}
|
|
|
|
|
|
F[ix][n].fval = best_fval;
|
|
|
F[ix][n].xprev = best_xprev;
|
|
|
F[ix][n].w = best_w;
|
|
|
}
|
|
|
}
|
|
|
|
|
|
// generate output
|
|
|
std::vector<IntervalArray> res(N + 1);
|
|
|
{
|
|
|
for (int i = 1; i <= N; ++i) {
|
|
|
IntervalArray resCur;
|
|
|
|
|
|
int n = i;
|
|
|
|
|
|
std::vector<int> grid(x_max + 1, 0); // initally, everything is background
|
|
|
|
|
|
int best_ix = 0;
|
|
|
int best_fval = F[0][n].fval;
|
|
|
for (int ix = 1; ix < (int) xs.size(); ++ix) {
|
|
|
if (F[ix][n].fval < best_fval) {
|
|
|
best_ix = ix;
|
|
|
best_fval = F[ix][n].fval;
|
|
|
}
|
|
|
}
|
|
|
|
|
|
resCur.F = (i == input.size()/2) ? 0 : best_fval;
|
|
|
while (true) {
|
|
|
const int ix = F[best_ix][n].xprev;
|
|
|
const int w = F[best_ix][n].w;
|
|
|
for (int x = xs[ix]; x < xs[ix] + w; ++x) {
|
|
|
grid[x] = 1; // i.e. green
|
|
|
}
|
|
|
best_ix = F[best_ix][n].xprev;
|
|
|
if (--n == 0) break;
|
|
|
}
|
|
|
|
|
|
int x0 = 0;
|
|
|
int type = grid[0];
|
|
|
for (int x1 = 1; x1 <= x_max; ++x1) {
|
|
|
if (grid[x1] != grid[x1 - 1] || x1 == x_max) {
|
|
|
if (type == 1) {
|
|
|
resCur.push_back({x0, x1, 1});
|
|
|
}
|
|
|
x0 = x1;
|
|
|
type = grid[x1];
|
|
|
}
|
|
|
}
|
|
|
|
|
|
res[i] = std::move(resCur);
|
|
|
}
|
|
|
}
|
|
|
|
|
|
return res;
|
|
|
}
|
|
|
|
|
|
|
|
|
// word-level timestamps (experimental)
|
|
|
// TODO: probably still has bugs, needs refactoring, etc..
|
|
|
// TODO: auto threshold
|
|
|
// TODO: extra pass to detect unused speech and assign to tokens
|
|
|
// TODO: font parameter adjustments
|
|
|
bool output_wts(struct whisper_context * ctx, const char * fname, const char * fname_inp, const whisper_params & params, const std::vector<float> & pcmf32) {
|
|
|
std::vector<float> pcm_avg(pcmf32.size(), 0);
|
|
|
|
|
|
// average the fabs of the signal
|
|
|
{
|
|
|
const int hw = 32;
|
|
|
|
|
|
for (int i = 0; i < pcmf32.size(); i++) {
|
|
|
float sum = 0;
|
|
|
for (int j = -hw; j <= hw; j++) {
|
|
|
if (i + j >= 0 && i + j < pcmf32.size()) {
|
|
|
sum += fabs(pcmf32[i + j]);
|
|
|
}
|
|
|
}
|
|
|
pcm_avg[i] = sum/(2*hw + 1);
|
|
|
}
|
|
|
}
|
|
|
|
|
|
struct token_info {
|
|
|
int64_t t0 = -1;
|
|
|
int64_t t1 = -1;
|
|
|
|
|
|
int64_t tt0 = -1;
|
|
|
int64_t tt1 = -1;
|
|
|
|
|
|
whisper_token id;
|
|
|
whisper_token tid;
|
|
|
|
|
|
float p = 0.0f;
|
|
|
float pt = 0.0f;
|
|
|
float ptsum = 0.0f;
|
|
|
|
|
|
std::string text;
|
|
|
float vlen = 0.0f; // voice length of this token
|
|
|
|
|
|
void calc_vlen(struct whisper_context * ctx) {
|
|
|
if (id >= whisper_token_eot(ctx)) {
|
|
|
vlen = 0.1f;
|
|
|
return;
|
|
|
}
|
|
|
|
|
|
vlen = voice_length(text);
|
|
|
}
|
|
|
|
|
|
bool is_voice() const {
|
|
|
return vlen > 0.5f;
|
|
|
}
|
|
|
};
|
|
|
|
|
|
int64_t t_beg = 0;
|
|
|
int64_t t_last = 0;
|
|
|
|
|
|
whisper_token tid_last = 0;
|
|
|
|
|
|
std::ofstream fout(fname);
|
|
|
|
|
|
fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname);
|
|
|
|
|
|
fout << "!/bin/bash" << "\n";
|
|
|
fout << "\n";
|
|
|
|
|
|
fout << "ffmpeg -i " << fname_inp << " -f lavfi -i color=size=1200x120:duration=" << float(pcm_avg.size() + 1000)/WHISPER_SAMPLE_RATE << ":rate=25:color=black -vf \"";
|
|
|
|
|
|
bool is_first = true;
|
|
|
|
|
|
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 char *text = whisper_full_get_segment_text(ctx, i);
|
|
|
|
|
|
const int s0 = std::max(0, (int) (t0*WHISPER_SAMPLE_RATE/100));
|
|
|
const int s1 = std::min((int) pcm_avg.size(), (int) (t1*WHISPER_SAMPLE_RATE/100));
|
|
|
|
|
|
const int n = whisper_full_n_tokens(ctx, i);
|
|
|
|
|
|
std::vector<token_info> tokens(n);
|
|
|
|
|
|
if (n <= 1) {
|
|
|
continue;
|
|
|
}
|
|
|
|
|
|
for (int j = 0; j < n; ++j) {
|
|
|
struct whisper_token_data token = whisper_full_get_token_data(ctx, i, j);
|
|
|
|
|
|
if (j == 0) {
|
|
|
if (token.id == whisper_token_beg(ctx)) {
|
|
|
tokens[j ].t0 = t0;
|
|
|
tokens[j ].t1 = t0;
|
|
|
tokens[j + 1].t0 = t0;
|
|
|
|
|
|
t_beg = t0;
|
|
|
t_last = t0;
|
|
|
tid_last = whisper_token_beg(ctx);
|
|
|
} else {
|
|
|
tokens[j ].t0 = t_last;
|
|
|
}
|
|
|
}
|
|
|
|
|
|
const int64_t tt = t_beg + 2*(token.tid - whisper_token_beg(ctx));
|
|
|
|
|
|
tokens[j].id = token.id;
|
|
|
tokens[j].tid = token.tid;
|
|
|
tokens[j].p = token.p;
|
|
|
tokens[j].pt = token.pt;
|
|
|
tokens[j].ptsum = token.ptsum;
|
|
|
|
|
|
tokens[j].text = whisper_token_to_str(ctx, token.id);
|
|
|
tokens[j].calc_vlen(ctx);
|
|
|
|
|
|
if (token.pt > params.word_thold && token.ptsum > 0.01 && token.tid > tid_last) {
|
|
|
if (j > 0) {
|
|
|
tokens[j - 1].t1 = tt;
|
|
|
}
|
|
|
tokens[j].t0 = tt;
|
|
|
tid_last = token.tid;
|
|
|
}
|
|
|
}
|
|
|
|
|
|
tokens[n - 2].t1 = t1;
|
|
|
tokens[n - 1].t0 = t1;
|
|
|
tokens[n - 1].t1 = t1;
|
|
|
|
|
|
t_last = t1;
|
|
|
|
|
|
{
|
|
|
{
|
|
|
int p0 = 0;
|
|
|
int p1 = 0;
|
|
|
|
|
|
while (true) {
|
|
|
while (p1 < n && tokens[p1].t1 < 0) {
|
|
|
p1++;
|
|
|
}
|
|
|
|
|
|
if (p1 >= n) {
|
|
|
p1--;
|
|
|
}
|
|
|
|
|
|
if (p1 > p0) {
|
|
|
IntervalArray arr;
|
|
|
|
|
|
const int s0 = std::max(0, (int) (tokens[p0].t0*WHISPER_SAMPLE_RATE/100));
|
|
|
const int s1 = std::min((int) pcm_avg.size() - 1, (int) (tokens[p1].t1*WHISPER_SAMPLE_RATE/100));
|
|
|
|
|
|
const int ns = s1 - s0;
|
|
|
|
|
|
float sum = 0.0f;
|
|
|
for (int k = s0; k < s1; k++) {
|
|
|
sum += pcm_avg[k];
|
|
|
}
|
|
|
|
|
|
const float thold = sum/ns;
|
|
|
|
|
|
printf("segment %4d: s0 = %6d, s1 = %6d, ns = %6d, thold = %f\n", i, s0, s1, ns, thold);
|
|
|
|
|
|
{
|
|
|
int last_s = -1;
|
|
|
int last_type = -1;
|
|
|
for (int k = s0; k < s1; k++) {
|
|
|
const int type = pcm_avg[k] > thold ? 1 : 0;
|
|
|
|
|
|
if (type != last_type) {
|
|
|
if (last_type != -1) {
|
|
|
arr.push_back({ last_s, k, last_type });
|
|
|
}
|
|
|
last_s = k;
|
|
|
last_type = type;
|
|
|
}
|
|
|
}
|
|
|
}
|
|
|
|
|
|
//for (int k = 0; k < arr.size(); k++) {
|
|
|
// printf(" %4d: %6d, %6d, %d\n", k, arr[k].x0, arr[k].x1, arr[k].type);
|
|
|
//}
|
|
|
|
|
|
int n_voice = 0;
|
|
|
|
|
|
for (int j = p0; j <= p1; ++j) {
|
|
|
if (tokens[j].is_voice()) {
|
|
|
n_voice++;
|
|
|
}
|
|
|
}
|
|
|
|
|
|
if (n_voice > 0 && arr.size() > n_voice) {
|
|
|
printf("xxxxxxxx n = %d, n_voice = %d, arr.size() = %d\n", n, n_voice, (int) arr.size());
|
|
|
auto res = fit_text_to_audio(arr, n_voice, 2.0f);
|
|
|
printf("done fit_text_to_audio, F = %d\n", res[n_voice].F);
|
|
|
|
|
|
{
|
|
|
int tid = p0;
|
|
|
for (int k = 0; k < (int) res[n_voice].size(); ++k) {
|
|
|
while (!tokens[tid].is_voice() && tid <= p1) {
|
|
|
//if (tokens[tid].t0 < 0) {
|
|
|
// tokens[tid].t0 = (int64_t) (100*res[n_voice][k].x0/WHISPER_SAMPLE_RATE);
|
|
|
//}
|
|
|
//if (tokens[tid].t1 < 0) {
|
|
|
// tokens[tid].t1 = tokens[tid].t0;
|
|
|
//}
|
|
|
|
|
|
tid++;
|
|
|
}
|
|
|
|
|
|
if (tid > p1) {
|
|
|
break;
|
|
|
}
|
|
|
|
|
|
if (tokens[tid].t0 < 0) {
|
|
|
tokens[tid].t0 = (int64_t) (100*res[n_voice][k].x0/WHISPER_SAMPLE_RATE);
|
|
|
if (tid > 0) {
|
|
|
tokens[tid - 1].t1 = tokens[tid].t0;
|
|
|
}
|
|
|
}
|
|
|
|
|
|
if (tokens[tid].t1 < 0) {
|
|
|
tokens[tid].t1 = (int64_t) (100*res[n_voice][k].x1/WHISPER_SAMPLE_RATE);
|
|
|
}
|
|
|
|
|
|
tid++;
|
|
|
}
|
|
|
|
|
|
printf("xxxxxxxx n = %d, tid = %d\n", n, tid);
|
|
|
}
|
|
|
}
|
|
|
}
|
|
|
|
|
|
p1++;
|
|
|
p0 = p1;
|
|
|
if (p1 >= n) {
|
|
|
break;
|
|
|
}
|
|
|
}
|
|
|
}
|
|
|
|
|
|
{
|
|
|
int p0 = 0;
|
|
|
int p1 = 0;
|
|
|
while (true) {
|
|
|
while (p1 < n && tokens[p1].t1 < 0) {
|
|
|
p1++;
|
|
|
}
|
|
|
|
|
|
if (p1 >= n) {
|
|
|
p1--;
|
|
|
}
|
|
|
|
|
|
if (p1 > p0) {
|
|
|
double psum = 0.0;
|
|
|
for (int j = p0; j <= p1; j++) {
|
|
|
psum += tokens[j].vlen;
|
|
|
}
|
|
|
|
|
|
//printf("analyzing %d - %d, psum = %f\n", p0, p1, psum);
|
|
|
|
|
|
const double dt = tokens[p1].t1 - tokens[p0].t0;
|
|
|
|
|
|
for (int j = p0 + 1; j <= p1; j++) {
|
|
|
const double ct = tokens[j - 1].t0 + dt*tokens[j - 1].vlen/psum;
|
|
|
//const double ct = tokens[j - 1].t0 + (dt*(j - p0))/(p1 - p0 + 1);
|
|
|
//const double ct = tokens[p0].t0 + (dt*(j - p0))/(p1 - p0 + 1);
|
|
|
|
|
|
tokens[j - 1].t1 = ct;
|
|
|
tokens[j ].t0 = ct;
|
|
|
}
|
|
|
}
|
|
|
|
|
|
p1++;
|
|
|
p0 = p1;
|
|
|
if (p1 >= n) {
|
|
|
break;
|
|
|
}
|
|
|
}
|
|
|
}
|
|
|
|
|
|
for (int j = 0; j < n - 1; j++) {
|
|
|
if (tokens[j + 1].t0 < 0) {
|
|
|
tokens[j + 1].t0 = tokens[j].t1;
|
|
|
}
|
|
|
|
|
|
tokens[j].tt0 = tokens[j].t0;
|
|
|
tokens[j].tt1 = tokens[j].t1;
|
|
|
|
|
|
if (j < n - 2) {
|
|
|
tokens[j].tt1 = std::max(tokens[j].tt1, tokens[j + 1].t0);
|
|
|
}
|
|
|
}
|
|
|
|
|
|
// VAD
|
|
|
{
|
|
|
const int hw = WHISPER_SAMPLE_RATE; // take one second of audio around the token
|
|
|
|
|
|
for (int j = 0; j < n; j++) {
|
|
|
const int64_t t0 = tokens[j].t0;
|
|
|
const int64_t t1 = tokens[j].t1;
|
|
|
|
|
|
int s0 = std::max(0, (int) (t0*WHISPER_SAMPLE_RATE/100));
|
|
|
int s1 = std::min((int) pcm_avg.size() - 1, (int) (t1*WHISPER_SAMPLE_RATE/100));
|
|
|
|
|
|
const int ss0 = std::max(0, (int) (t0*WHISPER_SAMPLE_RATE/100) - hw);
|
|
|
const int ss1 = std::min((int) pcm_avg.size() - 1, (int) (t1*WHISPER_SAMPLE_RATE/100) + hw);
|
|
|
|
|
|
const int n = ss1 - ss0;
|
|
|
|
|
|
float sum = 0.0f;
|
|
|
for (int k = ss0; k < ss1; k++) {
|
|
|
sum += pcm_avg[k];
|
|
|
}
|
|
|
|
|
|
const float avg = sum/n;
|
|
|
|
|
|
const float thold = 0.5*avg;
|
|
|
|
|
|
{
|
|
|
int k = s0;
|
|
|
if (pcm_avg[k] > thold && j > 0) {
|
|
|
while (k > 0 && pcm_avg[k] > thold) {
|
|
|
k--;
|
|
|
}
|
|
|
tokens[j].t0 = (int64_t) (100*k/WHISPER_SAMPLE_RATE);
|
|
|
if (tokens[j].t0 < tokens[j - 1].t1) {
|
|
|
tokens[j].t0 = tokens[j - 1].t1;
|
|
|
} else {
|
|
|
s0 = k;
|
|
|
}
|
|
|
} else {
|
|
|
while (pcm_avg[k] < thold && k < s1) {
|
|
|
k++;
|
|
|
}
|
|
|
s0 = k;
|
|
|
tokens[j].t0 = 100*k/WHISPER_SAMPLE_RATE;
|
|
|
}
|
|
|
}
|
|
|
|
|
|
{
|
|
|
int k = s1;
|
|
|
if (pcm_avg[k] > thold) {
|
|
|
while (k < (int) pcm_avg.size() - 1 && pcm_avg[k] > thold) {
|
|
|
k++;
|
|
|
}
|
|
|
tokens[j].t1 = 100*k/WHISPER_SAMPLE_RATE;
|
|
|
if (j < n - 1 && tokens[j].t1 > tokens[j + 1].t0) {
|
|
|
tokens[j].t1 = tokens[j + 1].t0;
|
|
|
} else {
|
|
|
s1 = k;
|
|
|
}
|
|
|
} else {
|
|
|
while (pcm_avg[k] < thold && k > s0) {
|
|
|
k--;
|
|
|
}
|
|
|
s1 = k;
|
|
|
tokens[j].t1 = 100*k/WHISPER_SAMPLE_RATE;
|
|
|
}
|
|
|
}
|
|
|
}
|
|
|
}
|
|
|
|
|
|
const int t_expand = 0;
|
|
|
|
|
|
for (int j = 0; j < n; j++) {
|
|
|
if (j > 0) {
|
|
|
tokens[j].t0 = std::max(0, (int) (tokens[j].t0 - t_expand));
|
|
|
}
|
|
|
if (j < n - 1) {
|
|
|
tokens[j].t1 = tokens[j].t1 + t_expand;
|
|
|
}
|
|
|
}
|
|
|
}
|
|
|
|
|
|
{
|
|
|
const std::string fname_tokens = "tokens-" + std::to_string(i) + ".txt";
|
|
|
|
|
|
std::ofstream fout(fname_tokens);
|
|
|
|
|
|
int s0 = std::max(0, (int) (t0*WHISPER_SAMPLE_RATE/100));
|
|
|
int s1 = std::min((int) pcm_avg.size() - 1, (int) (t1*WHISPER_SAMPLE_RATE/100));
|
|
|
|
|
|
for (int j = s0; j < s1; j++) {
|
|
|
int k = -1;
|
|
|
for (int r = 0; r < n; r++) {
|
|
|
if (j >= (int) (tokens[r].t0*WHISPER_SAMPLE_RATE/100) && j < (int) (tokens[r].t1*WHISPER_SAMPLE_RATE/100)) {
|
|
|
k = r;
|
|
|
break;
|
|
|
}
|
|
|
}
|
|
|
|
|
|
fout << j << " " << pcm_avg[j] << " " << float(k%3 + 1)/30.0 << std::endl;
|
|
|
}
|
|
|
|
|
|
fout.close();
|
|
|
}
|
|
|
|
|
|
for (int j = 0; j < n; ++j) {
|
|
|
const auto & token = tokens[j];
|
|
|
const auto tt = token.pt > params.word_thold && token.ptsum > 0.01 ? whisper_token_to_str(ctx, token.tid) : "[?]";
|
|
|
printf("%s: %10s %6.3f %6.3f %6.3f %6.3f %5d %5d '%s'\n", __func__,
|
|
|
tt, token.p, token.pt, token.ptsum, token.vlen, (int) token.t0, (int) token.t1, token.text.c_str());
|
|
|
|
|
|
if (tokens[j].id >= whisper_token_eot(ctx)) {
|
|
|
continue;
|
|
|
}
|
|
|
|
|
|
//printf("[%s --> %s] %s\n", to_timestamp(token.t0).c_str(), to_timestamp(token.t1).c_str(), whisper_token_to_str(ctx, token.id));
|
|
|
|
|
|
//fout << "# " << to_timestamp(token.t0) << " --> " << to_timestamp(token.t1) << " " << whisper_token_to_str(ctx, token.id) << "\n";
|
|
|
}
|
|
|
|
|
|
static const int line_wrap = 60;
|
|
|
static const char * font = "/System/Library/Fonts/Supplemental/Courier New Bold.ttf";
|
|
|
|
|
|
if (!is_first) {
|
|
|
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 << ")'";
|
|
|
|
|
|
is_first = false;
|
|
|
|
|
|
for (int j = 0; j < n; ++j) {
|
|
|
const auto & token = tokens[j];
|
|
|
|
|
|
if (tokens[j].id >= whisper_token_eot(ctx)) {
|
|
|
continue;
|
|
|
}
|
|
|
|
|
|
//if (!tokens[j].is_voice()) {
|
|
|
// continue;
|
|
|
//}
|
|
|
|
|
|
std::string txt_bg;
|
|
|
std::string txt_fg; // highlight token
|
|
|
std::string txt_ul; // underline
|
|
|
|
|
|
txt_bg = "> ";
|
|
|
txt_fg = "> ";
|
|
|
txt_ul = "\\ \\ ";
|
|
|
|
|
|
{
|
|
|
int ncnt = 0;
|
|
|
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 += "\\ ";
|
|
|
}
|
|
|
}
|
|
|
|
|
|
ncnt += txt.size();
|
|
|
|
|
|
if (ncnt > line_wrap) {
|
|
|
if (k < j) {
|
|
|
txt_bg = "> ";
|
|
|
txt_fg = "> ";
|
|
|
txt_ul = "\\ \\ ";
|
|
|
ncnt = 0;
|
|
|
} else {
|
|
|
break;
|
|
|
}
|
|
|
}
|
|
|
}
|
|
|
|
|
|
::replace_all(txt_bg, "'", "’");
|
|
|
::replace_all(txt_bg, "\"", "\\\"");
|
|
|
::replace_all(txt_fg, "'", "’");
|
|
|
::replace_all(txt_fg, "\"", "\\\"");
|
|
|
}
|
|
|
|
|
|
// background text
|
|
|
fout << ",drawtext=fontfile='" << font << "':fontsize=24:fontcolor=gray:x=(w-text_w)/2:y=h/2:text='" << txt_bg << "':enable='between(t," << token.tt0/100.0 << "," << token.tt1/100.0 << ")'";
|
|
|
|
|
|
// 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;
|
|
|
}
|
|
|
|
|
|
int main(int argc, char ** argv) {
|
|
|
whisper_params params;
|
|
|
|
|
|
if (whisper_params_parse(argc, argv, params) == false) {
|
|
|
return 1;
|
|
|
}
|
|
|
|
|
|
if (params.seed < 0) {
|
|
|
params.seed = time(NULL);
|
|
|
}
|
|
|
|
|
|
if (params.fname_inp.empty()) {
|
|
|
fprintf(stderr, "error: no input files specified\n");
|
|
|
whisper_print_usage(argc, argv, params);
|
|
|
return 2;
|
|
|
}
|
|
|
|
|
|
// whisper init
|
|
|
|
|
|
struct whisper_context * ctx = whisper_init(params.model.c_str());
|
|
|
|
|
|
if (ctx == nullptr) {
|
|
|
fprintf(stderr, "error: failed to initialize whisper context\n");
|
|
|
return 3;
|
|
|
}
|
|
|
|
|
|
for (int f = 0; f < (int) params.fname_inp.size(); ++f) {
|
|
|
const auto fname_inp = params.fname_inp[f];
|
|
|
|
|
|
// WAV input
|
|
|
std::vector<float> pcmf32;
|
|
|
{
|
|
|
drwav wav;
|
|
|
if (!drwav_init_file(&wav, fname_inp.c_str(), NULL)) {
|
|
|
fprintf(stderr, "%s: failed to open WAV file '%s' - check your input\n", argv[0], fname_inp.c_str());
|
|
|
whisper_print_usage(argc, argv, {});
|
|
|
return 4;
|
|
|
}
|
|
|
|
|
|
if (wav.channels != 1 && wav.channels != 2) {
|
|
|
fprintf(stderr, "%s: WAV file '%s' must be mono or stereo\n", argv[0], fname_inp.c_str());
|
|
|
return 5;
|
|
|
}
|
|
|
|
|
|
if (wav.sampleRate != WHISPER_SAMPLE_RATE) {
|
|
|
fprintf(stderr, "%s: WAV file '%s' must be 16 kHz\n", argv[0], fname_inp.c_str());
|
|
|
return 6;
|
|
|
}
|
|
|
|
|
|
if (wav.bitsPerSample != 16) {
|
|
|
fprintf(stderr, "%s: WAV file '%s' must be 16-bit\n", argv[0], fname_inp.c_str());
|
|
|
return 7;
|
|
|
}
|
|
|
|
|
|
int n = wav.totalPCMFrameCount;
|
|
|
|
|
|
std::vector<int16_t> pcm16;
|
|
|
pcm16.resize(n*wav.channels);
|
|
|
drwav_read_pcm_frames_s16(&wav, n, pcm16.data());
|
|
|
drwav_uninit(&wav);
|
|
|
|
|
|
// convert to mono, float
|
|
|
pcmf32.resize(n);
|
|
|
if (wav.channels == 1) {
|
|
|
for (int i = 0; i < n; i++) {
|
|
|
pcmf32[i] = float(pcm16[i])/32768.0f;
|
|
|
}
|
|
|
} else {
|
|
|
for (int i = 0; i < n; i++) {
|
|
|
pcmf32[i] = float(pcm16[2*i] + pcm16[2*i + 1])/65536.0f;
|
|
|
}
|
|
|
}
|
|
|
}
|
|
|
|
|
|
// 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");
|
|
|
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__);
|
|
|
}
|
|
|
}
|
|
|
fprintf(stderr, "%s: processing '%s' (%d samples, %.1f sec), %d threads, %d processors, lang = %s, task = %s, timestamps = %d ...\n",
|
|
|
__func__, fname_inp.c_str(), int(pcmf32.size()), float(pcmf32.size())/WHISPER_SAMPLE_RATE,
|
|
|
params.n_threads, params.n_processors,
|
|
|
params.language.c_str(),
|
|
|
params.translate ? "translate" : "transcribe",
|
|
|
params.no_timestamps ? 0 : 1);
|
|
|
|
|
|
fprintf(stderr, "\n");
|
|
|
}
|
|
|
|
|
|
|
|
|
// run the inference
|
|
|
{
|
|
|
whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_GREEDY);
|
|
|
|
|
|
wparams.print_realtime = false;
|
|
|
wparams.print_progress = false;
|
|
|
wparams.print_timestamps = !params.no_timestamps;
|
|
|
wparams.print_special_tokens = params.print_special_tokens;
|
|
|
wparams.translate = params.translate;
|
|
|
wparams.language = params.language.c_str();
|
|
|
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;
|
|
|
|
|
|
// 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 = ¶ms;
|
|
|
}
|
|
|
|
|
|
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 8;
|
|
|
}
|
|
|
}
|
|
|
|
|
|
// output stuff
|
|
|
{
|
|
|
printf("\n");
|
|
|
|
|
|
// output to text file
|
|
|
if (params.output_txt) {
|
|
|
const auto fname_txt = fname_inp + ".txt";
|
|
|
output_txt(ctx, fname_txt.c_str());
|
|
|
}
|
|
|
|
|
|
// output to VTT file
|
|
|
if (params.output_vtt) {
|
|
|
const auto fname_vtt = fname_inp + ".vtt";
|
|
|
output_vtt(ctx, fname_vtt.c_str());
|
|
|
}
|
|
|
|
|
|
// output to SRT file
|
|
|
if (params.output_srt) {
|
|
|
const auto fname_srt = fname_inp + ".srt";
|
|
|
output_srt(ctx, fname_srt.c_str(), params);
|
|
|
}
|
|
|
|
|
|
// output to WTS file
|
|
|
if (params.output_wts) {
|
|
|
const auto fname_wts = fname_inp + ".wts";
|
|
|
output_wts(ctx, fname_wts.c_str(), fname_inp.c_str(), params, pcmf32);
|
|
|
}
|
|
|
}
|
|
|
}
|
|
|
|
|
|
whisper_print_timings(ctx);
|
|
|
whisper_free(ctx);
|
|
|
|
|
|
return 0;
|
|
|
}
|
