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whisper.cpp
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stream : add "audio_ctx" parameter

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Used to overwrite the audio context size of the Encoder.
For example, setting "audio_ctx = 512" will make it run about 3 times
faster, processing about 10s of audio, instead of 30s.

The transcription quality drops, but this can be used for real-time
streaming purposes where performance is important.
pull/160/head
Georgi Gerganov 1 year ago
parent 62b5ff875c
commit fb8d77f760
3 changed files with 24 additions and 10 deletions
Show Stats Download Patch File Download Diff File

7
examples/stream/stream.cpp
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@ -40,6 +40,7 @@ struct whisper_params {
int32_t step_ms = 3000;
int32_t length_ms = 10000;
int32_t capture_id = -1;
int32_t audio_ctx = 0;
bool speed_up = false;
bool verbose = false;
@ -69,6 +70,8 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
params.length_ms = std::stoi(argv[++i]);
} else if (arg == "-c" || arg == "--capture") {
params.capture_id = std::stoi(argv[++i]);
} else if (arg == "-ac" || arg == "--audio_ctx") {
params.audio_ctx = std::stoi(argv[++i]);
} else if (arg == "-su" || arg == "--speed-up") {
params.speed_up = true;
} else if (arg == "-v" || arg == "--verbose") {
@ -116,6 +119,7 @@ void whisper_print_usage(int argc, char ** argv, const whisper_params & params)
fprintf(stderr, " --step N audio step size in milliseconds (default: %d)\n", params.step_ms);
fprintf(stderr, " --length N audio length in milliseconds (default: %d)\n", params.length_ms);
fprintf(stderr, " -c ID, --capture ID capture device ID (default: -1)\n");
fprintf(stderr, " -ac N, --audio_ctx N audio context size (default: %d, 0 - all)\n", params.audio_ctx);
fprintf(stderr, " -su, --speed-up speed up audio by factor of 2 (faster processing, reduced accuracy, default: %s)\n", params.speed_up ? "true" : "false");
fprintf(stderr, " -v, --verbose verbose output\n");
fprintf(stderr, " --translate translate from source language to english\n");
@ -322,7 +326,6 @@ int main(int argc, char ** argv) {
{
whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_GREEDY);
wparams.max_tokens = 32;
wparams.print_progress = false;
wparams.print_special_tokens = params.print_special_tokens;
wparams.print_realtime = false;
@ -330,9 +333,11 @@ int main(int argc, char ** argv) {
wparams.translate = params.translate;
wparams.no_context = params.no_context;
wparams.single_segment = true;
wparams.max_tokens = 32;
wparams.language = params.language.c_str();
wparams.n_threads = params.n_threads;
wparams.audio_ctx = params.audio_ctx;
wparams.speed_up = params.speed_up;
if (whisper_full(ctx, wparams, pcmf32.data(), pcmf32.size()) != 0) {

22
whisper.cpp
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@ -424,6 +424,9 @@ struct whisper_context {
int64_t t_last;
whisper_token tid_last;
std::vector<float> energy; // PCM signal energy
// [EXPERIMENTAL] speed-up techniques
int32_t exp_n_audio_ctx; // 0 - use default
};
// load the model from a ggml file
@ -974,9 +977,6 @@ static bool whisper_model_load(const std::string & fname, whisper_context & wctx
model.memory_cross_k = ggml_new_tensor_1d(ctx, GGML_TYPE_F16, n_elements);
model.memory_cross_v = ggml_new_tensor_1d(ctx, GGML_TYPE_F16, n_elements);
//memset(model.memory_cross_k->data, 0, ggml_nbytes(model.memory_cross_k));
//memset(model.memory_cross_v->data, 0, ggml_nbytes(model.memory_cross_v));
}
const size_t memory_size =
@ -1079,7 +1079,7 @@ static bool whisper_encode(
const auto & mel_inp = wctx.mel;
const auto & hparams = model.hparams;
const int n_ctx = WHISPER_EXPERIMENT_AUDIO_CTX;
const int n_ctx = wctx.exp_n_audio_ctx > 0 ? wctx.exp_n_audio_ctx : hparams.n_audio_ctx;
const int n_state = hparams.n_audio_state;
const int n_head = hparams.n_audio_head;
const int n_layer = hparams.n_audio_layer;
@ -1133,6 +1133,8 @@ static bool whisper_encode(
cur = ggml_gelu(ctx0, cur);
}
// ===================================================================
// NOTE: experimenting with partial evaluation of the encoder (ignore)
//static int iter = -1;
//const int n_iter = 1500/n_ctx;
@ -1151,6 +1153,10 @@ static bool whisper_encode(
struct ggml_tensor * e_pe = ggml_view_2d(ctx0, model.e_pe, model.e_pe->ne[0], n_ctx, e_pe_stride, e_pe_offset);
cur = ggml_add(ctx0, e_pe, ggml_transpose(ctx0, cur));
// ===================================================================
// original:
//cur = ggml_add(ctx0, model.e_pe, ggml_transpose(ctx0, cur));
struct ggml_tensor * inpL = cur;
@ -1494,8 +1500,7 @@ static bool whisper_decode(
const int n_layer = hparams.n_text_layer;
const int N = n_tokens;
//const int M = hparams.n_audio_ctx;
const int M = WHISPER_EXPERIMENT_AUDIO_CTX;
const int M = wctx.exp_n_audio_ctx > 0 ? wctx.exp_n_audio_ctx : hparams.n_audio_ctx;
struct ggml_init_params params = {
.mem_size = wctx.buf_compute.size(),
@ -2405,6 +2410,7 @@ struct whisper_full_params whisper_full_default_params(enum whisper_sampling_str
/*.max_tokens =*/ 0,
/*.speed_up =*/ false,
/*.audio_ctx =*/ 0,
/*.language =*/ "en",
@ -2447,6 +2453,7 @@ struct whisper_full_params whisper_full_default_params(enum whisper_sampling_str
/*.max_tokens =*/ 0,
/*.speed_up =*/ false,
/*.audio_ctx =*/ 0,
/*.language =*/ "en",
@ -2577,6 +2584,9 @@ int whisper_full(
prompt_past.clear();
}
// overwrite audio_ctx
ctx->exp_n_audio_ctx = params.audio_ctx;
// these tokens determine the task that will be performed
std::vector<whisper_token> prompt_init = { whisper_token_sot(ctx) };
if (whisper_is_multilingual(ctx)) {

5
whisper.h
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@ -24,8 +24,6 @@
#define WHISPER_HOP_LENGTH 160
#define WHISPER_CHUNK_SIZE 30
#define WHISPER_EXPERIMENT_AUDIO_CTX 512
#ifdef __cplusplus
extern "C" {
#endif
@ -207,7 +205,8 @@ extern "C" {
int max_tokens; // max tokens per segment (0 = no limit)
// [EXPERIMENTAL] speed-up techniques
bool speed_up; // speed-up the audio by 2x using Phase Vocoder
bool speed_up; // speed-up the audio by 2x using Phase Vocoder
int audio_ctx; // overwrite the audio context size (0 = use default)
const char * language;

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