mirror of
https://github.com/ggerganov/whisper.cpp.git
synced 2024-12-20 13:13:07 +00:00
396 lines
15 KiB
C++
396 lines
15 KiB
C++
// Real-time speech recognition of input from a microphone
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//
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// A very quick-n-dirty implementation serving mainly as a proof of concept.
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#include "whisper.h"
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#include <SDL.h>
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#include <SDL_audio.h>
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#include <cassert>
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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 <fstream>
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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) {
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int64_t sec = t/100;
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int64_t msec = t - sec*100;
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int64_t min = sec/60;
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sec = sec - min*60;
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char buf[32];
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snprintf(buf, sizeof(buf), "%02d:%02d.%03d", (int) min, (int) sec, (int) msec);
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return std::string(buf);
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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 step_ms = 3000;
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int32_t length_ms = 10000;
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int32_t capture_id = -1;
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int32_t max_tokens = 32;
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int32_t audio_ctx = 0;
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bool speed_up = false;
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bool translate = false;
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bool no_context = true;
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bool print_special = false;
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bool no_timestamps = true;
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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::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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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 == "-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 == "--step") { params.step_ms = std::stoi(argv[++i]); }
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else if ( arg == "--length") { params.length_ms = std::stoi(argv[++i]); }
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else if (arg == "-c" || arg == "--capture") { params.capture_id = std::stoi(argv[++i]); }
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else if (arg == "-mt" || arg == "--max-tokens") { params.max_tokens = 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 == "-su" || arg == "--speed-up") { params.speed_up = true; }
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else if (arg == "-tr" || arg == "--translate") { params.translate = true; }
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else if (arg == "-kc" || arg == "--keep-context") { params.no_context = false; }
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else if (arg == "-ps" || arg == "--print-special") { params.print_special = true; }
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else if (arg == "-l" || arg == "--language") { params.language = 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_out = argv[++i]; }
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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]\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, " --step N [%-7d] audio step size in milliseconds\n", params.step_ms);
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fprintf(stderr, " --length N [%-7d] audio length in milliseconds\n", params.length_ms);
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fprintf(stderr, " -c ID, --capture ID [%-7d] capture device ID\n", params.capture_id);
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fprintf(stderr, " -mt N, --max-tokens N [%-7d] maximum number of tokens per audio chunk\n", params.max_tokens);
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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, " -su, --speed-up [%-7s] speed up audio by x2 (reduced accuracy)\n", params.speed_up ? "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, " -kc, --keep-context [%-7s] keep context between audio chunks\n", params.no_context ? "false" : "true");
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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, " -l LANG, --language LANG [%-7s] spoken language\n", params.language.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] text output file name\n", params.fname_out.c_str());
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fprintf(stderr, "\n");
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}
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//
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// SDL Audio capture
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//
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SDL_AudioDeviceID g_dev_id_in = 0;
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bool audio_sdl_init(const int capture_id) {
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if (g_dev_id_in) {
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fprintf(stderr, "%s: already initialized\n", __func__);
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return false;
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}
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SDL_LogSetPriority(SDL_LOG_CATEGORY_APPLICATION, SDL_LOG_PRIORITY_INFO);
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if (SDL_Init(SDL_INIT_AUDIO) < 0) {
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SDL_LogError(SDL_LOG_CATEGORY_APPLICATION, "Couldn't initialize SDL: %s\n", SDL_GetError());
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return (1);
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}
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SDL_SetHintWithPriority(SDL_HINT_AUDIO_RESAMPLING_MODE, "medium", SDL_HINT_OVERRIDE);
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{
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int nDevices = SDL_GetNumAudioDevices(SDL_TRUE);
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fprintf(stderr, "%s: found %d capture devices:\n", __func__, nDevices);
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for (int i = 0; i < nDevices; i++) {
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fprintf(stderr, "%s: - Capture device #%d: '%s'\n", __func__, i, SDL_GetAudioDeviceName(i, SDL_TRUE));
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}
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}
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SDL_AudioSpec capture_spec_requested;
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SDL_AudioSpec capture_spec_obtained;
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SDL_zero(capture_spec_requested);
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SDL_zero(capture_spec_obtained);
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capture_spec_requested.freq = WHISPER_SAMPLE_RATE;
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capture_spec_requested.format = AUDIO_F32;
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capture_spec_requested.channels = 1;
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capture_spec_requested.samples = 1024;
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if (capture_id >= 0) {
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fprintf(stderr, "%s: attempt to open capture device %d : '%s' ...\n", __func__, capture_id, SDL_GetAudioDeviceName(capture_id, SDL_TRUE));
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g_dev_id_in = SDL_OpenAudioDevice(SDL_GetAudioDeviceName(capture_id, SDL_TRUE), SDL_TRUE, &capture_spec_requested, &capture_spec_obtained, 0);
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} else {
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fprintf(stderr, "%s: attempt to open default capture device ...\n", __func__);
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g_dev_id_in = SDL_OpenAudioDevice(nullptr, SDL_TRUE, &capture_spec_requested, &capture_spec_obtained, 0);
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}
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if (!g_dev_id_in) {
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fprintf(stderr, "%s: couldn't open an audio device for capture: %s!\n", __func__, SDL_GetError());
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g_dev_id_in = 0;
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} else {
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fprintf(stderr, "%s: obtained spec for input device (SDL Id = %d):\n", __func__, g_dev_id_in);
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fprintf(stderr, "%s: - sample rate: %d\n", __func__, capture_spec_obtained.freq);
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fprintf(stderr, "%s: - format: %d (required: %d)\n", __func__, capture_spec_obtained.format, capture_spec_requested.format);
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fprintf(stderr, "%s: - channels: %d (required: %d)\n", __func__, capture_spec_obtained.channels, capture_spec_requested.channels);
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fprintf(stderr, "%s: - samples per frame: %d\n", __func__, capture_spec_obtained.samples);
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}
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return true;
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}
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///////////////////////////
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int main(int argc, char ** argv) {
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whisper_params params;
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if (whisper_params_parse(argc, argv, params) == false) {
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return 1;
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}
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// init audio
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if (!audio_sdl_init(params.capture_id)) {
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fprintf(stderr, "%s: audio_sdl_init() failed!\n", __func__);
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return 1;
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}
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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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// whisper init
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struct whisper_context * ctx = whisper_init(params.model.c_str());
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const int n_samples = (params.step_ms/1000.0)*WHISPER_SAMPLE_RATE;
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const int n_samples_len = (params.length_ms/1000.0)*WHISPER_SAMPLE_RATE;
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const int n_samples_30s = 30*WHISPER_SAMPLE_RATE;
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const int n_samples_keep = 0.2*WHISPER_SAMPLE_RATE;
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std::vector<float> pcmf32(n_samples_30s, 0.0f);
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std::vector<float> pcmf32_old;
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std::vector<whisper_token> prompt_tokens;
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const int n_new_line = params.length_ms / params.step_ms - 1;
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// print some info about the processing
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{
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fprintf(stderr, "\n");
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if (!whisper_is_multilingual(ctx)) {
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if (params.language != "en" || params.translate) {
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params.language = "en";
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params.translate = false;
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fprintf(stderr, "%s: WARNING: model is not multilingual, ignoring language and translation options\n", __func__);
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}
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}
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fprintf(stderr, "%s: processing %d samples (step = %.1f sec / len = %.1f sec), %d threads, lang = %s, task = %s, timestamps = %d ...\n",
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__func__,
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n_samples,
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float(n_samples)/WHISPER_SAMPLE_RATE,
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float(n_samples_len)/WHISPER_SAMPLE_RATE,
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params.n_threads,
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params.language.c_str(),
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params.translate ? "translate" : "transcribe",
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params.no_timestamps ? 0 : 1);
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fprintf(stderr, "%s: n_new_line = %d\n", __func__, n_new_line);
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fprintf(stderr, "\n");
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}
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SDL_PauseAudioDevice(g_dev_id_in, 0);
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int n_iter = 0;
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bool is_running = true;
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std::ofstream fout;
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if (params.fname_out.length() > 0) {
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fout.open(params.fname_out);
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if (!fout.is_open()) {
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fprintf(stderr, "%s: failed to open output file '%s'!\n", __func__, params.fname_out.c_str());
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return 1;
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}
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}
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printf("[Start speaking]");
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fflush(stdout);
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// main audio loop
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while (is_running) {
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// handle Ctrl + C
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{
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SDL_Event event;
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while (SDL_PollEvent(&event)) {
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switch (event.type) {
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case SDL_QUIT:
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{
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is_running = false;
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} break;
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default:
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break;
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}
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}
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if (!is_running) {
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break;
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}
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}
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if (!is_running) {
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break;
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}
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// process new audio
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if (n_iter > 0 && SDL_GetQueuedAudioSize(g_dev_id_in) > 2*n_samples*sizeof(float)) {
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fprintf(stderr, "\n\n%s: WARNING: cannot process audio fast enough, dropping audio ...\n\n", __func__);
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SDL_ClearQueuedAudio(g_dev_id_in);
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}
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while (SDL_GetQueuedAudioSize(g_dev_id_in) < n_samples*sizeof(float)) {
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SDL_Delay(1);
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}
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const int n_samples_new = SDL_GetQueuedAudioSize(g_dev_id_in)/sizeof(float);
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// take one second from previous iteration
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//const int n_samples_take = std::min((int) pcmf32_old.size(), std::max(0, n_samples_30s/30 - n_samples_new));
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// take up to params.length_ms audio from previous iteration
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const int n_samples_take = std::min((int) pcmf32_old.size(), std::max(0, n_samples_keep + n_samples_len - n_samples_new));
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//printf("processing: take = %d, new = %d, old = %d\n", n_samples_take, n_samples_new, (int) pcmf32_old.size());
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pcmf32.resize(n_samples_new + n_samples_take);
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for (int i = 0; i < n_samples_take; i++) {
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pcmf32[i] = pcmf32_old[pcmf32_old.size() - n_samples_take + i];
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}
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SDL_DequeueAudio(g_dev_id_in, pcmf32.data() + n_samples_take, n_samples_new*sizeof(float));
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pcmf32_old = pcmf32;
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// run the inference
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{
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whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_GREEDY);
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wparams.print_progress = false;
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wparams.print_special = params.print_special;
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wparams.print_realtime = false;
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wparams.print_timestamps = !params.no_timestamps;
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wparams.translate = params.translate;
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wparams.no_context = true;
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wparams.single_segment = true;
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wparams.max_tokens = params.max_tokens;
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wparams.language = params.language.c_str();
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wparams.n_threads = params.n_threads;
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wparams.audio_ctx = params.audio_ctx;
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wparams.speed_up = params.speed_up;
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wparams.prompt_tokens = params.no_context ? nullptr : prompt_tokens.data();
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wparams.prompt_n_tokens = params.no_context ? 0 : prompt_tokens.size();
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if (whisper_full(ctx, wparams, pcmf32.data(), pcmf32.size()) != 0) {
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fprintf(stderr, "%s: failed to process audio\n", argv[0]);
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return 6;
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}
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// print result;
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{
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printf("\33[2K\r");
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// print long empty line to clear the previous line
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printf("%s", std::string(100, ' ').c_str());
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printf("\33[2K\r");
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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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if (params.no_timestamps) {
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printf("%s", text);
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fflush(stdout);
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if (params.fname_out.length() > 0) {
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fout << text;
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}
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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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printf ("[%s --> %s] %s\n", to_timestamp(t0).c_str(), to_timestamp(t1).c_str(), text);
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if (params.fname_out.length() > 0) {
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fout << "[" << to_timestamp(t0) << " --> " << to_timestamp(t1) << "] " << text << std::endl;
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}
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}
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}
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if (params.fname_out.length() > 0) {
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fout << std::endl;
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}
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}
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++n_iter;
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if ((n_iter % n_new_line) == 0) {
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printf("\n");
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// keep part of the audio for next iteration to try to mitigate word boundary issues
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pcmf32_old = std::vector<float>(pcmf32.end() - n_samples_keep, pcmf32.end());
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// Add tokens of the last full length segment as the prompt
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if (!params.no_context) {
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prompt_tokens.clear();
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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 int token_count = whisper_full_n_tokens(ctx, i);
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for (int j = 0; j < token_count; ++j) {
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prompt_tokens.push_back(whisper_full_get_token_id(ctx, i, j));
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}
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}
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}
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}
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}
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}
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if (g_dev_id_in >= 0) {
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SDL_CloseAudioDevice(g_dev_id_in);
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}
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whisper_print_timings(ctx);
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whisper_free(ctx);
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return 0;
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}
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