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whisper.cpp
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main : add option for word-leve timestamps (very experimental)

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word-ts-2
Georgi Gerganov 2 years ago
parent 5a9e4260a6
commit 57fb46f307
3 changed files with 430 additions and 4 deletions
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413
examples/main/main.cpp
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@ -36,6 +36,40 @@ std::string to_timestamp(int64_t t, bool comma = false) {
return std::string(buf);
}
void replace_all(std::string & s, const std::string & search, const std::string & replace) {
for (size_t pos = 0; ; pos += replace.length()) {
pos = s.find(search, pos);
if (pos == std::string::npos) break;
s.erase(pos, search.length());
s.insert(pos, replace);
}
}
// a cost-function that is high for text that takes longer to pronounce
float voice_length(const std::string & text) {
float res = 0.0f;
for (size_t i = 0; i < text.size(); ++i) {
if (text[i] == ' ') {
res += 0.01f;
} else if (text[i] == ',') {
res += 2.00f;
} else if (text[i] == '.') {
res += 3.00f;
} else if (text[i] == '!') {
res += 3.00f;
} else if (text[i] == '?') {
res += 3.00f;
} else if (text[i] >= '0' && text[i] <= '9') {
res += 3.00f;
} else {
res += 1.00f;
}
}
return res;
}
// command-line parameters
struct whisper_params {
int32_t seed = -1; // RNG seed, not used currently
@ -45,11 +79,14 @@ struct whisper_params {
int32_t offset_n = 0;
int32_t max_context = -1;
float word_thold = 0.01f;
bool verbose = false;
bool translate = false;
bool output_txt = false;
bool output_vtt = false;
bool output_srt = false;
bool output_wts = false;
bool print_special_tokens = false;
bool print_colors = false;
bool no_timestamps = false;
@ -83,6 +120,8 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
params.offset_n = std::stoi(argv[++i]);
} else if (arg == "-mc" || arg == "--max-context") {
params.max_context = std::stoi(argv[++i]);
} else if (arg == "-wt" || arg == "--word-thold") {
params.word_thold = std::stof(argv[++i]);
} else if (arg == "-v" || arg == "--verbose") {
params.verbose = true;
} else if (arg == "--translate") {
@ -100,6 +139,8 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
params.output_vtt = true;
} else if (arg == "-osrt" || arg == "--output-srt") {
params.output_srt = true;
} else if (arg == "-owts" || arg == "--output-words") {
params.output_wts = true;
} else if (arg == "-ps" || arg == "--print_special") {
params.print_special_tokens = true;
} else if (arg == "-pc" || arg == "--print_colors") {
@ -135,11 +176,13 @@ void whisper_print_usage(int argc, char ** argv, const whisper_params & params)
fprintf(stderr, " -ot N, --offset-t N time offset in milliseconds (default: %d)\n", params.offset_t_ms);
fprintf(stderr, " -on N, --offset-n N segment index offset (default: %d)\n", params.offset_n);
fprintf(stderr, " -mc N, --max-context N maximum number of text context tokens to store (default: max)\n");
fprintf(stderr, " -wt N, --word-thold N word timestamp probability threshold (default: %f)\n", params.word_thold);
fprintf(stderr, " -v, --verbose verbose output\n");
fprintf(stderr, " --translate translate from source language to english\n");
fprintf(stderr, " -otxt, --output-txt output result in a text file\n");
fprintf(stderr, " -ovtt, --output-vtt output result in a vtt file\n");
fprintf(stderr, " -osrt, --output-srt output result in a srt file\n");
fprintf(stderr, " -owts, --output-words output word-level timestamps to a text file\n");
fprintf(stderr, " -ps, --print_special print special tokens\n");
fprintf(stderr, " -pc, --print_colors print colors\n");
fprintf(stderr, " -nt, --no_timestamps do not print timestamps\n");
@ -277,6 +320,367 @@ bool output_srt(struct whisper_context * ctx, const char * fname, const whisper_
return true;
}
// 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) {
if (params.output_wts) {
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
};
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(pcmf32.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) pcmf32.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].vlen = tokens[j].pt;
tokens[j].vlen = voice_length(tokens[j].text);
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) {
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].t1 < 0) {
tokens[j + 1].t0 = tokens[j].t1;
}
tokens[j].tt0 = tokens[j].t0;
tokens[j].tt1 = tokens[j].t1;
}
// 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) pcmf32.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) pcmf32.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) pcmf32.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;
}
}
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;
}
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;
@ -403,7 +807,10 @@ int main(int argc, char ** argv) {
fprintf(stderr, "%s: failed to process audio\n", argv[0]);
return 8;
}
}
// output stuff
{
printf("\n");
// output to text file
@ -423,6 +830,12 @@ int main(int argc, char ** argv) {
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);
}
}
}

12
whisper.cpp
Unescape View File

@ -1843,7 +1843,8 @@ whisper_token_data whisper_sample_best(
}
}
result.pt = max_ts/(sum_ts + 1e-6);
result.pt = max_ts/(sum_ts + 1e-10);
result.ptsum = sum_ts;
}
// find the top K tokens
@ -2518,7 +2519,10 @@ int whisper_full(
prompt.push_back(token.id);
tokens_cur.push_back(token);
//printf("%s: %s\n", __func__, ctx->vocab.id_to_token[id].c_str());
//{
// const auto tt = token.pt > 0.10 ? ctx->vocab.id_to_token[token.tid] : "[?]";
// printf("%s: %10s %6.3f '%s'\n", __func__, tt.c_str(), token.pt, ctx->vocab.id_to_token[token.id].c_str());
//}
// end of text token
if (token.id == whisper_token_eot(ctx)) {
@ -2803,6 +2807,10 @@ whisper_token whisper_full_get_token_id(struct whisper_context * ctx, int i_segm
return ctx->result_all[i_segment].tokens[i_token].id;
}
struct whisper_token_data whisper_full_get_token_data(struct whisper_context * ctx, int i_segment, int i_token) {
return ctx->result_all[i_segment].tokens[i_token];
}
float whisper_full_get_token_p(struct whisper_context * ctx, int i_segment, int i_token) {
return ctx->result_all[i_segment].tokens[i_token].p;
}

9
whisper.h
Unescape View File

@ -72,8 +72,9 @@ extern "C" {
whisper_token id; // token id
whisper_token tid; // forced timestamp token id
float p; // probability of the token
float pt; // probability of the timestamp token
float p; // probability of the token
float pt; // probability of the timestamp token
float ptsum; // sum of probabilities of all timestamp tokens
};
// Allocates all memory needed for the model and loads the model from the given file.
@ -241,6 +242,10 @@ extern "C" {
WHISPER_API const char * whisper_full_get_token_text(struct whisper_context * ctx, int i_segment, int i_token);
WHISPER_API whisper_token whisper_full_get_token_id (struct whisper_context * ctx, int i_segment, int i_token);
// Get token data for the specified token in the specified segment.
// This contains probabilities, timestamps, etc.
WHISPER_API struct whisper_token_data whisper_full_get_token_data(struct whisper_context * ctx, int i_segment, int i_token);
// Get the probability of the specified token in the specified segment.
WHISPER_API float whisper_full_get_token_p(struct whisper_context * ctx, int i_segment, int i_token);

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