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Rework PCM Stream, update doc

This commit is contained in:
Ross Morsali 2026-02-06 19:05:31 +01:00
parent e4e84b967c
commit a5e4e06961
2 changed files with 334 additions and 183 deletions
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30
examples/stream-pcm/README.md
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@ -1,28 +1,40 @@
# whisper.cpp/examples/stream-pcm
This example performs real-time inference on raw PCM audio streamed via stdin or a pipe.
It mirrors the behavior of `whisper-stream`, but does not require SDL or a microphone device.
This example performs real-time inference on raw PCM audio streamed via stdin, a pipe, or a file.
It is PCM-first (input is consumed once) and does not require SDL or a microphone device.
## Usage
Stream raw PCM (16 kHz, mono) into the tool:
Stream raw PCM (16 kHz, mono) into the tool (non-VAD):
```bash
./build/bin/whisper-stream-pcm -m ./models/ggml-base.en.bin --format s16 --sample-rate 16000 --step 500 --length 5000
./build/bin/whisper-stream-pcm -m ./models/ggml-base.en.bin --format s16 --sample-rate 16000 --step 1000 --length 10000 --keep 500
```
Enable VAD-based segmentation (optional, recommended for speech bursts):
```bash
./build/bin/whisper-stream-pcm -m ./models/ggml-base.en.bin --format s16 --sample-rate 16000 --vad --vad-probe-ms 200 --vad-silence-ms 800 --vad-pre-roll-ms 300 --length 8000
```
You can also read from a named pipe (FIFO):
```bash
mkfifo /tmp/whisper.pcm
./build/bin/whisper-stream-pcm -m ./models/ggml-base.en.bin --input /tmp/whisper.pcm --format s16 --sample-rate 16000 --step 500 --length 5000
./build/bin/whisper-stream-pcm -m ./models/ggml-base.en.bin --input /tmp/whisper.pcm --format s16 --sample-rate 16000 --step 1000 --length 10000 --keep 500
```
Example of piping a WAV file using ffmpeg (optional):
Example of piping a WAV file using ffmpeg (optional, `-re` for realtime pacing):
```bash
ffmpeg -i samples/jfk.wav -f s16le -ac 1 -ar 16000 - | \
./build/bin/whisper-stream-pcm -m ./models/ggml-base.en.bin --format s16 --sample-rate 16000 --step 500 --length 5000
ffmpeg -re -i samples/jfk.wav -f s16le -ac 1 -ar 16000 - | \
./build/bin/whisper-stream-pcm -m ./models/ggml-base.en.bin --format s16 --sample-rate 16000 --step 1000 --length 10000 --keep 500
```
Windows (PowerShell + `cmd /c`) pipe example:
```powershell
cmd /c "ffmpeg -re -hide_banner -loglevel error -i samples\jfk.wav -f s16le -ac 1 -ar 16000 - | build-cpu\bin\Release\whisper-stream-pcm.exe -m models\ggml-base.en.bin --format s16 --sample-rate 16000 --step 1000 --length 10000 --keep 500"
```
## Notes
@ -30,6 +42,8 @@ ffmpeg -i samples/jfk.wav -f s16le -ac 1 -ar 16000 - | \
- Input must be raw PCM, mono, 16 kHz. The tool does not resample.
- Supported formats: `f32` or `s16` (little-endian).
- Use `--input -` (default) for stdin.
- `--step` must be > 0 unless `--vad` is enabled.
- For VAD, `--vad-probe-ms` should be at least 200 ms; very small probes can fail to trigger.
## Building

487
examples/stream-pcm/stream-pcm.cpp
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@ -9,6 +9,7 @@
#include <algorithm>
#include <atomic>
#include <cstdarg>
#include <chrono>
#include <csignal>
#include <cstdio>
@ -47,6 +48,8 @@ struct whisper_params {
bool save_audio = false; // save audio to wav file
bool use_gpu = true;
bool flash_attn = true;
bool debug = false;
bool use_vad = false;
std::string language = "en";
std::string model = "models/ggml-base.en.bin";
@ -55,6 +58,10 @@ struct whisper_params {
std::string input = "-"; // "-" = stdin
std::string format = "f32"; // f32 or s16
int32_t sample_rate = WHISPER_SAMPLE_RATE;
int32_t vad_probe_ms = 200;
int32_t vad_silence_ms = 800;
int32_t vad_pre_roll_ms = 300;
};
void whisper_print_usage(int argc, char ** argv, const whisper_params & params);
@ -96,6 +103,11 @@ static bool whisper_params_parse(int argc, char ** argv, whisper_params & params
else if (arg == "-i" || arg == "--input") { params.input = argv[++i]; }
else if (arg == "--format") { params.format = argv[++i]; }
else if (arg == "--sample-rate") { params.sample_rate = std::stoi(argv[++i]); }
else if (arg == "--debug") { params.debug = true; }
else if (arg == "--vad") { params.use_vad = true; }
else if (arg == "--vad-probe-ms") { params.vad_probe_ms = std::stoi(argv[++i]); }
else if (arg == "--vad-silence-ms") { params.vad_silence_ms = std::stoi(argv[++i]); }
else if (arg == "--vad-pre-roll-ms") { params.vad_pre_roll_ms = std::stoi(argv[++i]); }
else {
fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
@ -137,6 +149,11 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
fprintf(stderr, " -i PATH, --input PATH [%-7s] input path ('-' for stdin)\n", params.input.c_str());
fprintf(stderr, " --format FMT [%-7s] input format: f32 or s16 (little-endian)\n", params.format.c_str());
fprintf(stderr, " --sample-rate N [%-7d] input sample rate (must be 16000)\n", params.sample_rate);
fprintf(stderr, " --debug [%-7s] enable debug logging\n", params.debug ? "true" : "false");
fprintf(stderr, " --vad [%-7s] enable VAD-based segmentation\n", params.use_vad ? "true" : "false");
fprintf(stderr, " --vad-probe-ms N [%-5d] VAD probe chunk size (ms)\n", params.vad_probe_ms);
fprintf(stderr, " --vad-silence-ms N [%-5d] silence duration to end segment (ms)\n", params.vad_silence_ms);
fprintf(stderr, " --vad-pre-roll-ms N[%-5d] audio prepended before VAD trigger (ms)\n", params.vad_pre_roll_ms);
fprintf(stderr, "\n");
}
@ -225,6 +242,7 @@ public:
std::lock_guard<std::mutex> lock(m_mutex);
m_audio_pos = 0;
m_audio_len = 0;
m_audio_read = 0;
return true;
}
@ -258,6 +276,39 @@ public:
}
}
void pop_ms(int ms, std::vector<float> & result) {
result.clear();
std::lock_guard<std::mutex> lock(m_mutex);
if (ms <= 0) {
ms = m_len_ms;
}
size_t n_samples = (m_sample_rate * ms) / 1000;
if (n_samples > m_audio_len) {
n_samples = m_audio_len;
}
if (n_samples == 0) {
return;
}
result.resize(n_samples);
size_t s0 = m_audio_read;
if (s0 + n_samples > m_audio.size()) {
const size_t n0 = m_audio.size() - s0;
memcpy(result.data(), &m_audio[s0], n0 * sizeof(float));
memcpy(&result[n0], &m_audio[0], (n_samples - n0) * sizeof(float));
} else {
memcpy(result.data(), &m_audio[s0], n_samples * sizeof(float));
}
m_audio_read = (m_audio_read + n_samples) % m_audio.size();
m_audio_len -= n_samples;
}
size_t available_samples() const {
std::lock_guard<std::mutex> lock(m_mutex);
return m_audio_len;
@ -330,15 +381,21 @@ private:
std::lock_guard<std::mutex> lock(m_mutex);
if (n_samples > m_audio.size()) {
data += (n_samples - m_audio.size());
n_samples = m_audio.size();
}
if (n_samples > m_audio.size()) {
data += (n_samples - m_audio.size());
n_samples = m_audio.size();
}
if (m_audio_pos + n_samples > m_audio.size()) {
const size_t n0 = m_audio.size() - m_audio_pos;
memcpy(&m_audio[m_audio_pos], data, n0 * sizeof(float));
memcpy(&m_audio[0], data + n0, (n_samples - n0) * sizeof(float));
if (n_samples > m_audio.size() - m_audio_len) {
const size_t drop = n_samples - (m_audio.size() - m_audio_len);
m_audio_read = (m_audio_read + drop) % m_audio.size();
m_audio_len -= drop;
}
if (m_audio_pos + n_samples > m_audio.size()) {
const size_t n0 = m_audio.size() - m_audio_pos;
memcpy(&m_audio[m_audio_pos], data, n0 * sizeof(float));
memcpy(&m_audio[0], data + n0, (n_samples - n0) * sizeof(float));
} else {
memcpy(&m_audio[m_audio_pos], data, n_samples * sizeof(float));
}
@ -363,6 +420,7 @@ private:
std::vector<float> m_audio;
size_t m_audio_pos = 0;
size_t m_audio_len = 0;
size_t m_audio_read = 0;
std::thread m_thread;
};
@ -398,16 +456,26 @@ int main(int argc, char ** argv) {
return 1;
}
params.keep_ms = std::min(params.keep_ms, params.step_ms);
params.length_ms = std::max(params.length_ms, params.step_ms);
if (!params.use_vad) {
if (params.step_ms <= 0) {
fprintf(stderr, "error: --step must be > 0 unless --vad is enabled\n");
return 1;
}
params.keep_ms = std::min(params.keep_ms, params.step_ms);
params.length_ms = std::max(params.length_ms, params.step_ms);
} else {
if (params.length_ms <= 0) {
params.length_ms = 5000;
}
params.keep_ms = 0;
}
const int n_samples_step = (1e-3*params.step_ms )*WHISPER_SAMPLE_RATE;
const bool use_vad = params.use_vad;
const int n_samples_step = use_vad ? 0 : (1e-3*params.step_ms )*WHISPER_SAMPLE_RATE;
const int n_samples_len = (1e-3*params.length_ms)*WHISPER_SAMPLE_RATE;
const int n_samples_keep = (1e-3*params.keep_ms )*WHISPER_SAMPLE_RATE;
const int n_samples_30s = (1e-3*30000.0 )*WHISPER_SAMPLE_RATE;
const bool use_vad = n_samples_step <= 0; // sliding window mode uses VAD
const int n_new_line = !use_vad ? std::max(1, params.length_ms / params.step_ms - 1) : 1; // number of steps to print new line
params.no_timestamps = !use_vad;
@ -423,7 +491,15 @@ int main(int argc, char ** argv) {
return 1;
}
audio.resume();
auto debug_log = [&](const char * fmt, ...) {
if (!params.debug) {
return;
}
va_list args;
va_start(args, fmt);
vfprintf(stderr, fmt, args);
va_end(args);
};
// whisper init
if (params.language != "auto" && whisper_lang_id(params.language.c_str()) == -1){
@ -479,6 +555,10 @@ int main(int argc, char ** argv) {
fprintf(stderr, "\n");
}
debug_log("debug: input='%s' format=%s sample_rate=%d step_ms=%d length_ms=%d keep_ms=%d vad=%d probe_ms=%d silence_ms=%d pre_roll_ms=%d last_ms=%d\n",
params.input.c_str(), params.format.c_str(), params.sample_rate, params.step_ms, params.length_ms, params.keep_ms,
params.use_vad ? 1 : 0, params.vad_probe_ms, params.vad_silence_ms, params.vad_pre_roll_ms, std::max(1, std::min(1000, params.vad_probe_ms / 2)));
int n_iter = 0;
bool is_running = true;
@ -503,62 +583,159 @@ int main(int argc, char ** argv) {
wavWriter.open(filename, WHISPER_SAMPLE_RATE, 16, 1);
}
audio.resume();
printf("[Start streaming]\n");
fflush(stdout);
auto t_last = std::chrono::high_resolution_clock::now();
const auto t_start = t_last;
int64_t total_samples = 0;
// main audio loop
auto run_inference = [&](const std::vector<float> & audio_buf, int64_t seg_start_sample, int64_t seg_end_sample) -> bool {
if (audio_buf.empty()) {
return true;
}
whisper_full_params wparams = whisper_full_default_params(params.beam_size > 1 ? WHISPER_SAMPLING_BEAM_SEARCH : WHISPER_SAMPLING_GREEDY);
wparams.print_progress = false;
wparams.print_special = params.print_special;
wparams.print_realtime = false;
wparams.print_timestamps = !params.no_timestamps;
wparams.translate = params.translate;
wparams.single_segment = !use_vad;
wparams.max_tokens = params.max_tokens;
wparams.language = params.language.c_str();
wparams.n_threads = params.n_threads;
wparams.beam_search.beam_size = params.beam_size;
wparams.audio_ctx = params.audio_ctx;
wparams.tdrz_enable = params.tinydiarize; // [TDRZ]
// disable temperature fallback
//wparams.temperature_inc = -1.0f;
wparams.temperature_inc = params.no_fallback ? 0.0f : wparams.temperature_inc;
wparams.prompt_tokens = params.no_context ? nullptr : prompt_tokens.data();
wparams.prompt_n_tokens = params.no_context ? 0 : prompt_tokens.size();
if (whisper_full(ctx, wparams, audio_buf.data(), audio_buf.size()) != 0) {
fprintf(stderr, "%s: failed to process audio\n", argv[0]);
return false;
}
// print result;
{
if (!use_vad) {
printf("\33[2K\r");
// print long empty line to clear the previous line
printf("%s", std::string(100, ' ').c_str());
printf("\33[2K\r");
} else {
const int64_t t0_ms = std::max<int64_t>(0, seg_start_sample * 1000 / WHISPER_SAMPLE_RATE);
const int64_t t1_ms = std::max<int64_t>(0, seg_end_sample * 1000 / WHISPER_SAMPLE_RATE);
printf("\n");
printf("### Transcription %d START | t0 = %d ms | t1 = %d ms\n", n_iter, (int) t0_ms, (int) t1_ms);
printf("\n");
}
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.fname_out.length() > 0) {
fout << text;
}
} else {
const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
std::string output = "[" + to_timestamp(t0, false) + " --> " + to_timestamp(t1, false) + "] " + text;
if (whisper_full_get_segment_speaker_turn_next(ctx, i)) {
output += " [SPEAKER_TURN]";
}
output += "\n";
printf("%s", output.c_str());
fflush(stdout);
if (params.fname_out.length() > 0) {
fout << output;
}
}
}
if (params.fname_out.length() > 0) {
fout << std::endl;
}
if (use_vad) {
printf("\n");
printf("### Transcription %d END\n", n_iter);
}
}
++n_iter;
fflush(stdout);
return true;
};
std::vector<float> pre_roll;
std::vector<float> speech_buf;
int64_t segment_start_sample = 0;
size_t silence_samples = 0;
bool in_speech = false;
const int vad_probe_ms = std::max(1, params.vad_probe_ms);
const int vad_last_ms = std::max(1, std::min(1000, vad_probe_ms / 2));
const size_t vad_pre_roll_samples = (size_t) (WHISPER_SAMPLE_RATE * std::max(0, params.vad_pre_roll_ms) / 1000);
const size_t vad_silence_samples = (size_t) (WHISPER_SAMPLE_RATE * std::max(0, params.vad_silence_ms) / 1000);
const size_t vad_max_segment_samples = (size_t) n_samples_len;
// main audio loop
while (is_running && g_running) {
if (audio.is_eof() && audio.available_samples() == 0) {
break;
}
if (params.save_audio) {
wavWriter.write(pcmf32_new.data(), pcmf32_new.size());
}
// process new audio
if (!use_vad) {
bool eof_after_this = false;
while (true) {
if (!g_running) {
is_running = false;
break;
}
audio.get(params.step_ms, pcmf32_new);
if ((int) pcmf32_new.size() > 2*n_samples_step) {
fprintf(stderr, "\n\n%s: WARNING: cannot process audio fast enough, dropping audio ...\n\n", __func__);
audio.clear();
const size_t available = audio.available_samples();
if (available < (size_t) n_samples_step) {
if (audio.is_eof()) {
if (available == 0) {
break;
}
} else {
std::this_thread::sleep_for(std::chrono::milliseconds(5));
continue;
}
if ((int) pcmf32_new.size() >= n_samples_step) {
audio.clear();
break;
}
if (audio.is_eof() && audio.available_samples() > 0) {
// flush remaining samples on EOF
audio.clear();
eof_after_this = true;
break;
}
std::this_thread::sleep_for(std::chrono::milliseconds(1));
}
if (!is_running) {
break;
audio.pop_ms(params.step_ms, pcmf32_new);
debug_log("debug: step audio.pop -> %zu samples (available=%zu eof=%d)\n",
pcmf32_new.size(), audio.available_samples(), audio.is_eof() ? 1 : 0);
if (pcmf32_new.empty()) {
if (audio.is_eof()) {
break;
}
continue;
}
total_samples += pcmf32_new.size();
if (params.save_audio && !pcmf32_new.empty()) {
wavWriter.write(pcmf32_new.data(), pcmf32_new.size());
debug_log("debug: save_audio wrote %zu samples (step)\n", pcmf32_new.size());
}
const int n_samples_new = pcmf32_new.size();
// take up to params.length_ms audio from previous iteration
const int n_samples_take = std::min((int) pcmf32_old.size(), std::max(0, n_samples_keep + n_samples_len - n_samples_new));
pcmf32.resize(n_samples_new + n_samples_take);
@ -571,130 +748,17 @@ int main(int argc, char ** argv) {
pcmf32_old = pcmf32;
if (eof_after_this && pcmf32.empty()) {
break;
}
} else {
const auto t_now = std::chrono::high_resolution_clock::now();
const auto t_diff = std::chrono::duration_cast<std::chrono::milliseconds>(t_now - t_last).count();
if (t_diff < 2000) {
std::this_thread::sleep_for(std::chrono::milliseconds(100));
continue;
}
audio.get(2000, pcmf32_new);
if (::vad_simple(pcmf32_new, WHISPER_SAMPLE_RATE, 1000, params.vad_thold, params.freq_thold, false)) {
audio.get(params.length_ms, pcmf32);
} else {
std::this_thread::sleep_for(std::chrono::milliseconds(100));
continue;
}
t_last = t_now;
}
// run the inference
{
whisper_full_params wparams = whisper_full_default_params(params.beam_size > 1 ? WHISPER_SAMPLING_BEAM_SEARCH : WHISPER_SAMPLING_GREEDY);
wparams.print_progress = false;
wparams.print_special = params.print_special;
wparams.print_realtime = false;
wparams.print_timestamps = !params.no_timestamps;
wparams.translate = params.translate;
wparams.single_segment = !use_vad;
wparams.max_tokens = params.max_tokens;
wparams.language = params.language.c_str();
wparams.n_threads = params.n_threads;
wparams.beam_search.beam_size = params.beam_size;
wparams.audio_ctx = params.audio_ctx;
wparams.tdrz_enable = params.tinydiarize; // [TDRZ]
// disable temperature fallback
//wparams.temperature_inc = -1.0f;
wparams.temperature_inc = params.no_fallback ? 0.0f : wparams.temperature_inc;
wparams.prompt_tokens = params.no_context ? nullptr : prompt_tokens.data();
wparams.prompt_n_tokens = params.no_context ? 0 : prompt_tokens.size();
if (whisper_full(ctx, wparams, pcmf32.data(), pcmf32.size()) != 0) {
fprintf(stderr, "%s: failed to process audio\n", argv[0]);
if (!run_inference(pcmf32, -1, -1)) {
return 6;
}
// print result;
{
if (!use_vad) {
printf("\33[2K\r");
// print long empty line to clear the previous line
printf("%s", std::string(100, ' ').c_str());
printf("\33[2K\r");
} else {
const int64_t t1 = (t_last - t_start).count()/1000000;
const int64_t t0 = std::max(0.0, t1 - pcmf32.size()*1000.0/WHISPER_SAMPLE_RATE);
printf("\n");
printf("### Transcription %d START | t0 = %d ms | t1 = %d ms\n", n_iter, (int) t0, (int) t1);
printf("\n");
}
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.fname_out.length() > 0) {
fout << text;
}
} else {
const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
std::string output = "[" + to_timestamp(t0, false) + " --> " + to_timestamp(t1, false) + "] " + text;
if (whisper_full_get_segment_speaker_turn_next(ctx, i)) {
output += " [SPEAKER_TURN]";
}
output += "\n";
printf("%s", output.c_str());
fflush(stdout);
if (params.fname_out.length() > 0) {
fout << output;
}
}
}
if (params.fname_out.length() > 0) {
fout << std::endl;
}
if (use_vad) {
printf("\n");
printf("### Transcription %d END\n", n_iter);
}
}
++n_iter;
if (!use_vad && (n_iter % n_new_line) == 0) {
if (n_iter % n_new_line == 0) {
printf("\n");
// keep part of the audio for next iteration to try to mitigate word boundary issues
pcmf32_old = std::vector<float>(pcmf32.end() - n_samples_keep, pcmf32.end());
if (n_samples_keep > 0 && (int) pcmf32.size() >= n_samples_keep) {
pcmf32_old = std::vector<float>(pcmf32.end() - n_samples_keep, pcmf32.end());
}
// Add tokens of the last full length segment as the prompt
if (!params.no_context) {
@ -709,7 +773,80 @@ int main(int argc, char ** argv) {
}
}
}
fflush(stdout);
} else {
const size_t available = audio.available_samples();
if (available == 0) {
if (audio.is_eof()) {
if (in_speech && !speech_buf.empty()) {
const int64_t seg_end_sample = segment_start_sample + (int64_t) speech_buf.size();
if (!run_inference(speech_buf, segment_start_sample, seg_end_sample)) {
return 6;
}
speech_buf.clear();
in_speech = false;
}
break;
}
std::this_thread::sleep_for(std::chrono::milliseconds(5));
continue;
}
audio.pop_ms(vad_probe_ms, pcmf32_new);
debug_log("debug: vad probe audio.pop -> %zu samples (available=%zu eof=%d)\n",
pcmf32_new.size(), audio.available_samples(), audio.is_eof() ? 1 : 0);
if (pcmf32_new.empty()) {
continue;
}
total_samples += pcmf32_new.size();
if (params.save_audio && !pcmf32_new.empty()) {
wavWriter.write(pcmf32_new.data(), pcmf32_new.size());
debug_log("debug: save_audio wrote %zu samples (probe)\n", pcmf32_new.size());
}
const bool silence = ::vad_simple(pcmf32_new, WHISPER_SAMPLE_RATE, vad_last_ms, params.vad_thold, params.freq_thold, false);
debug_log("debug: vad silence=%d (last_ms=%d)\n", silence ? 1 : 0, vad_last_ms);
if (!in_speech) {
if (!silence) {
in_speech = true;
silence_samples = 0;
speech_buf.clear();
if (!pre_roll.empty()) {
speech_buf.insert(speech_buf.end(), pre_roll.begin(), pre_roll.end());
}
speech_buf.insert(speech_buf.end(), pcmf32_new.begin(), pcmf32_new.end());
segment_start_sample = total_samples - (int64_t) speech_buf.size();
debug_log("debug: vad speech start (segment_start_sample=%lld)\n", (long long) segment_start_sample);
}
} else {
speech_buf.insert(speech_buf.end(), pcmf32_new.begin(), pcmf32_new.end());
if (!silence) {
silence_samples = 0;
} else {
silence_samples += pcmf32_new.size();
}
if (speech_buf.size() >= vad_max_segment_samples || silence_samples >= vad_silence_samples) {
const int64_t seg_end_sample = segment_start_sample + (int64_t) speech_buf.size();
if (!run_inference(speech_buf, segment_start_sample, seg_end_sample)) {
return 6;
}
speech_buf.clear();
in_speech = false;
silence_samples = 0;
debug_log("debug: vad speech end (segment_end_sample=%lld)\n", (long long) seg_end_sample);
}
}
if (vad_pre_roll_samples > 0) {
pre_roll.insert(pre_roll.end(), pcmf32_new.begin(), pcmf32_new.end());
if (pre_roll.size() > vad_pre_roll_samples) {
pre_roll.erase(pre_roll.begin(), pre_roll.end() - vad_pre_roll_samples);
}
}
}
}