#define DR_WAV_IMPLEMENTATION
#include "dr_wav.h"
+#include <cmath>
#include <fstream>
#include <cstdio>
#include <string>
#include <thread>
#include <vector>
+// Terminal color map. 10 colors grouped in ranges [0.0, 0.1, ..., 0.9]
+// Lowest is red, middle is yellow, highest is green.
+const std::vector<std::string> k_colors = {
+ "\033[38;5;196m", "\033[38;5;202m", "\033[38;5;208m", "\033[38;5;214m", "\033[38;5;220m",
+ "\033[38;5;226m", "\033[38;5;190m", "\033[38;5;154m", "\033[38;5;118m", "\033[38;5;82m",
+};
+
// 500 -> 00:05.000
// 6000 -> 01:00.000
std::string to_timestamp(int64_t t) {
bool output_vtt = false;
bool output_srt = false;
bool print_special_tokens = false;
+ bool print_colors = false;
bool no_timestamps = false;
std::string language = "en";
params.output_srt = true;
} else if (arg == "-ps" || arg == "--print_special") {
params.print_special_tokens = true;
+ } else if (arg == "-pc" || arg == "--print_colors") {
+ params.print_colors = true;
} else if (arg == "-nt" || arg == "--no_timestamps") {
params.no_timestamps = true;
} else if (arg == "-m" || arg == "--model") {
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, " -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");
fprintf(stderr, " -l LANG, --language LANG spoken language (default: %s)\n", params.language.c_str());
fprintf(stderr, " -m FNAME, --model FNAME model path (default: %s)\n", params.model.c_str());
{
whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_GREEDY);
- wparams.print_realtime = true;
+ wparams.print_realtime = !params.print_colors;
wparams.print_progress = false;
wparams.print_timestamps = !params.no_timestamps;
wparams.print_special_tokens = params.print_special_tokens;
const int n_segments = whisper_full_n_segments(ctx);
for (int i = 0; i < n_segments; ++i) {
- const char * text = whisper_full_get_segment_text(ctx, i);
-
if (params.no_timestamps) {
- printf("%s", text);
- fflush(stdout);
+ if (params.print_colors) {
+ // TODO
+ } else {
+ const char * text = whisper_full_get_segment_text(ctx, i);
+ printf("%s", text);
+ fflush(stdout);
+ }
} else {
const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
- printf("[%s --> %s] %s\n", to_timestamp(t0).c_str(), to_timestamp(t1).c_str(), text);
+ if (params.print_colors) {
+ printf("[%s --> %s] ", to_timestamp(t0).c_str(), to_timestamp(t1).c_str());
+ for (int j = 0; j < whisper_full_n_tokens(ctx, i); ++j) {
+ const char * text = whisper_full_get_token_text(ctx, i, j);
+ const float p = whisper_full_get_token_p (ctx, i, j);
+
+ const int col = std::max(0, std::min((int) k_colors.size(), (int) (std::pow(p, 3)*float(k_colors.size()))));
+
+ printf("%s%s%s", k_colors[col].c_str(), text, "\033[0m");
+ }
+ printf("\n");
+ } else {
+ const char * text = whisper_full_get_segment_text(ctx, i);
+
+ printf("[%s --> %s] %s\n", to_timestamp(t0).c_str(), to_timestamp(t1).c_str(), text);
+ }
}
}
}
// output to text file
if (params.output_txt) {
-
const auto fname_txt = fname_inp + ".txt";
std::ofstream fout_txt(fname_txt);
if (!fout_txt.is_open()) {
// output to VTT file
if (params.output_vtt) {
-
const auto fname_vtt = fname_inp + ".vtt";
std::ofstream fout_vtt(fname_vtt);
if (!fout_vtt.is_open()) {
// output to SRT file
if (params.output_srt) {
-
const auto fname_srt = fname_inp + ".srt";
std::ofstream fout_srt(fname_srt);
if (!fout_srt.is_open()) {
}
};
-struct whisper_result {
- int64_t t;
- whisper_token id;
+struct whisper_token_data {
+ 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
};
struct whisper_segment {
int64_t t1;
std::string text;
+
+ std::vector<whisper_token_data> tokens;
};
// medium
std::vector<float> probs;
std::vector<float> logits;
- std::vector<whisper_result> result_cur;
+ std::vector<whisper_token_data> tokens_cur;
std::vector<whisper_segment> result_all;
std::vector<whisper_token> prompt_past;
}
// the most basic sampling scheme - select the top token
-whisper_vocab::id whisper_sample_best(
+whisper_token_data whisper_sample_best(
const whisper_vocab & vocab,
const float * probs) {
+ whisper_token_data result;
+
int n_logits = vocab.id_to_token.size();
std::vector<std::pair<double, whisper_vocab::id>> probs_id;
probs_id.push_back(std::make_pair(probs[i], i));
}
- double sum_ts = 0.0;
- double max_tx = 0.0;
+ {
+ double sum_ts = 0.0;
+ double max_ts = -1.0;
+ double max_tx = -1.0;
- for (int i = 0; i < vocab.token_beg; i++) {
- max_tx = std::max(max_tx, probs_id[i].first);
- }
+ for (int i = 0; i < vocab.token_beg; i++) {
+ max_tx = std::max(max_tx, probs_id[i].first);
+ }
- for (int i = vocab.token_beg; i < n_logits; i++) {
- sum_ts += probs_id[i].first;
- }
+ for (int i = vocab.token_beg; i < n_logits; i++) {
+ sum_ts += probs_id[i].first;
+ if (probs_id[i].first > max_ts) {
+ max_ts = probs_id[i].first;
+ result.tid = probs_id[i].second;
+ }
+ }
- // if the probability sum of all timestamp tokesn is higher than the max probability of the text tokens - sample a
- // timestamp token
- if (sum_ts > max_tx) {
- // ref: https://github.com/openai/whisper/blob/0b1ba3d46ebf7fe6f953acfd8cad62a4f851b49f/whisper/decoding.py#L430-L438
- for (int i = 0; i < vocab.token_beg; i++) {
- probs_id[i].first = -INFINITY;
+ // if the probability sum of all timestamp tokens is higher than the max probability of the text tokens - sample a
+ // timestamp token
+ if (sum_ts > max_tx) {
+ // ref: https://github.com/openai/whisper/blob/0b1ba3d46ebf7fe6f953acfd8cad62a4f851b49f/whisper/decoding.py#L430-L438
+ for (int i = 0; i < vocab.token_beg; i++) {
+ probs_id[i].first = -INFINITY;
+ }
}
+
+ result.pt = max_ts/(sum_ts + 1e-6);
}
// find the top K tokens
res++;
}
- return probs_id[res].second;
+ result.id = probs_id[res].second;
+ result.p = probs_id[res].first;
+
+ return result;
}
// samples only from the timestamps tokens
ctx->t_sample_us += ggml_time_us() - t_start_sample_us;
- return res;
+ return res.id;
}
whisper_token whisper_sample_timestamp(struct whisper_context * ctx) {
int n_samples) {
// clear old results
auto & result_all = ctx->result_all;
- auto & result_cur = ctx->result_cur;
+ auto & tokens_cur = ctx->tokens_cur;
result_all.clear();
// the accumulated transcription in the current interation
int result_len = 0;
- result_cur.clear();
+ tokens_cur.clear();
for (int i = 0; i < whisper_n_text_ctx(ctx)/2 - 4; ++i) {
if (whisper_decode(ctx, prompt.data(), prompt.size(), n_past, params.n_threads) != 0) {
// feel free to experiment!
//
{
- whisper_token id = 0;
- whisper_token tid = whisper_token_beg(ctx);
+ auto token = whisper_sample_best(ctx->vocab, ctx->probs.data() + (ctx->probs.size() - ctx->vocab.n_vocab));
- id = whisper_sample_best(ctx);
- if (i > 0) {
- tid = whisper_sample_timestamp(ctx);
+ if (i == 0) {
+ token.tid = whisper_token_beg(ctx);
}
- // update sliding window
- if (id > whisper_token_beg(ctx)) {
- seek_delta = 2*(id - whisper_token_beg(ctx));
+ // timestamp token - update sliding window
+ if (token.id > whisper_token_beg(ctx)) {
+ seek_delta = 2*(token.id - whisper_token_beg(ctx));
result_len = i + 1;
}
// add it to the context
- prompt.push_back(id);
- result_cur.push_back({ seek + 2*(tid - whisper_token_beg(ctx)), id });
+ prompt.push_back(token.id);
+ tokens_cur.push_back(token);
//printf("%s: %s\n", __func__, ctx->vocab.id_to_token[id].c_str());
// end of text token
- if (id == whisper_token_eot(ctx)) {
+ if (token.id == whisper_token_eot(ctx)) {
if (result_len == 0) {
if (seek + seek_delta + 100 >= whisper_n_len(ctx)) {
result_len = i + 1;
}
}
- result_cur.resize(result_len);
+ tokens_cur.resize(result_len);
- for (const auto & r : result_cur) {
+ for (const auto & r : tokens_cur) {
prompt_past.push_back(r.id);
}
// store the text from this iteration
- if (result_cur.size() > 0) {
- auto t0 = result_cur.front().t;
+ if (tokens_cur.size() > 0) {
+ int i0 = 0;
+ auto t0 = 2*(tokens_cur.front().tid - whisper_token_beg(ctx));
std::string text = "";
- for (int i = 0; i < (int) result_cur.size(); i++) {
- if (params.print_special_tokens == false && result_cur[i].id >= whisper_token_eot(ctx)) {
+ for (int i = 0; i < (int) tokens_cur.size(); i++) {
+ //printf("%s: %18s %6.3f %18s %6.3f\n", __func__,
+ // ctx->vocab.id_to_token[tokens_cur[i].id].c_str(), tokens_cur[i].p,
+ // ctx->vocab.id_to_token[tokens_cur[i].tid].c_str(), tokens_cur[i].pt);
+
+ if (params.print_special_tokens == false && tokens_cur[i].id >= whisper_token_eot(ctx)) {
} else {
- text += whisper_token_to_str(ctx, result_cur[i].id);
+ text += whisper_token_to_str(ctx, tokens_cur[i].id);
}
- if (result_cur[i].id > whisper_token_beg(ctx)) {
- const auto t1 = result_cur[i].t;
+ if (tokens_cur[i].id > whisper_token_beg(ctx)) {
+ const auto t1 = 2*(tokens_cur[i].tid - whisper_token_beg(ctx));
if (!text.empty()) {
if (params.print_realtime) {
if (params.print_timestamps) {
}
}
- result_all.push_back({ t0, t1, text });
+ result_all.push_back({ t0, t1, text, {} });
+ for (int j = i0; j <= i; j++) {
+ result_all.back().tokens.push_back(tokens_cur[j]);
+ }
}
text = "";
- while (i < (int) result_cur.size() && result_cur[i].id > whisper_token_beg(ctx)) {
+ while (i < (int) tokens_cur.size() && tokens_cur[i].id > whisper_token_beg(ctx)) {
i++;
}
i--;
- t0 = result_cur[i].t;
+ t0 = t1;
+ i0 = i + 1;
}
}
}
}
- result_all.push_back({ t0, t1, text });
+ result_all.push_back({ t0, t1, text, {} });
+ for (int j = i0; j < (int) tokens_cur.size(); j++) {
+ result_all.back().tokens.push_back(tokens_cur[j]);
+ }
}
}
const char * whisper_full_get_segment_text(struct whisper_context * ctx, int i_segment) {
return ctx->result_all[i_segment].text.c_str();
}
+
+int whisper_full_n_tokens(struct whisper_context * ctx, int i_segment) {
+ return ctx->result_all[i_segment].tokens.size();
+}
+
+const char * whisper_full_get_token_text(struct whisper_context * ctx, int i_segment, int i_token) {
+ return ctx->vocab.id_to_token[ctx->result_all[i_segment].tokens[i_token].id].c_str();
+}
+
+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;
+}