Add VAD examples using ALSA for recording (#739)
This commit is contained in:
@@ -251,6 +251,7 @@ if(SHERPA_ONNX_HAS_ALSA AND SHERPA_ONNX_ENABLE_BINARY)
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add_executable(sherpa-onnx-keyword-spotter-alsa sherpa-onnx-keyword-spotter-alsa.cc alsa.cc)
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add_executable(sherpa-onnx-alsa-offline sherpa-onnx-alsa-offline.cc alsa.cc)
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add_executable(sherpa-onnx-alsa-offline-speaker-identification sherpa-onnx-alsa-offline-speaker-identification.cc alsa.cc)
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add_executable(sherpa-onnx-vad-alsa sherpa-onnx-vad-alsa.cc alsa.cc)
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if(SHERPA_ONNX_ENABLE_TTS)
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@@ -259,9 +260,10 @@ if(SHERPA_ONNX_HAS_ALSA AND SHERPA_ONNX_ENABLE_BINARY)
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set(exes
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sherpa-onnx-alsa
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sherpa-onnx-keyword-spotter-alsa
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sherpa-onnx-alsa-offline
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sherpa-onnx-alsa-offline-speaker-identification
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sherpa-onnx-keyword-spotter-alsa
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sherpa-onnx-vad-alsa
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)
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if(SHERPA_ONNX_ENABLE_TTS)
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132
sherpa-onnx/csrc/sherpa-onnx-vad-alsa.cc
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132
sherpa-onnx/csrc/sherpa-onnx-vad-alsa.cc
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@@ -0,0 +1,132 @@
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// sherpa-onnx/csrc/sherpa-onnx-vad-alsa.cc
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//
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// Copyright (c) 2024 Xiaomi Corporation
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#include <signal.h>
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#include <stdio.h>
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#include <stdlib.h>
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#include <algorithm>
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#include "sherpa-onnx/csrc/alsa.h"
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#include "sherpa-onnx/csrc/circular-buffer.h"
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#include "sherpa-onnx/csrc/voice-activity-detector.h"
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#include "sherpa-onnx/csrc/wave-writer.h"
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bool stop = false;
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static void Handler(int32_t sig) {
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stop = true;
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fprintf(stderr, "\nCaught Ctrl + C. Exiting...\n");
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}
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int32_t main(int32_t argc, char *argv[]) {
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signal(SIGINT, Handler);
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const char *kUsageMessage = R"usage(
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This program shows how to use VAD in sherpa-onnx.
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./bin/sherpa-onnx-vad-alsa \
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--silero-vad-model=/path/to/silero_vad.onnx \
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device_name
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Please download silero_vad.onnx from
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https://github.com/snakers4/silero-vad/blob/master/files/silero_vad.onnx
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For instance, use
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wget https://github.com/snakers4/silero-vad/raw/master/files/silero_vad.onnx
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The device name specifies which microphone to use in case there are several
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on your system. You can use
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arecord -l
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to find all available microphones on your computer. For instance, if it outputs
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**** List of CAPTURE Hardware Devices ****
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card 3: UACDemoV10 [UACDemoV1.0], device 0: USB Audio [USB Audio]
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Subdevices: 1/1
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Subdevice #0: subdevice #0
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and if you want to select card 3 and the device 0 on that card, please use:
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plughw:3,0
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as the device_name.
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)usage";
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sherpa_onnx::ParseOptions po(kUsageMessage);
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sherpa_onnx::VadModelConfig config;
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config.Register(&po);
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po.Read(argc, argv);
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if (po.NumArgs() != 1) {
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fprintf(stderr, "Please provide only 1 argument: the device name\n");
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po.PrintUsage();
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exit(EXIT_FAILURE);
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}
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fprintf(stderr, "%s\n", config.ToString().c_str());
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if (!config.Validate()) {
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fprintf(stderr, "Errors in config!\n");
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return -1;
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}
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std::string device_name = po.GetArg(1);
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sherpa_onnx::Alsa alsa(device_name.c_str());
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fprintf(stderr, "Use recording device: %s\n", device_name.c_str());
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int32_t sample_rate = 16000;
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if (alsa.GetExpectedSampleRate() != sample_rate) {
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fprintf(stderr, "sample rate: %d != %d\n", alsa.GetExpectedSampleRate(),
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sample_rate);
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exit(-1);
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}
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int32_t chunk = 0.1 * alsa.GetActualSampleRate();
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auto vad = std::make_unique<sherpa_onnx::VoiceActivityDetector>(config);
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fprintf(stderr, "Started. Please speak\n");
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int32_t window_size = config.silero_vad.window_size;
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bool printed = false;
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int32_t k = 0;
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while (!stop) {
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{
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const std::vector<float> &samples = alsa.Read(chunk);
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vad->AcceptWaveform(samples.data(), samples.size());
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if (vad->IsSpeechDetected() && !printed) {
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printed = true;
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fprintf(stderr, "\nDetected speech!\n");
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}
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if (!vad->IsSpeechDetected()) {
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printed = false;
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}
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while (!vad->Empty()) {
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const auto &segment = vad->Front();
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float duration =
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segment.samples.size() / static_cast<float>(sample_rate);
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fprintf(stderr, "Duration: %.3f seconds\n", duration);
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char filename[128];
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snprintf(filename, sizeof(filename), "seg-%d-%.3fs.wav", k, duration);
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k += 1;
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sherpa_onnx::WriteWave(filename, 16000, segment.samples.data(),
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segment.samples.size());
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fprintf(stderr, "Saved to %s\n", filename);
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fprintf(stderr, "----------\n");
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vad->Pop();
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}
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}
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}
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return 0;
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}
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@@ -13,6 +13,7 @@
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#include "sherpa-onnx/csrc/circular-buffer.h"
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#include "sherpa-onnx/csrc/microphone.h"
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#include "sherpa-onnx/csrc/voice-activity-detector.h"
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#include "sherpa-onnx/csrc/wave-writer.h"
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bool stop = false;
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std::mutex mutex;
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@@ -122,6 +123,7 @@ wget https://github.com/snakers4/silero-vad/raw/master/files/silero_vad.onnx
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int32_t window_size = config.silero_vad.window_size;
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bool printed = false;
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int32_t k = 0;
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while (!stop) {
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{
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std::lock_guard<std::mutex> lock(mutex);
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@@ -140,9 +142,19 @@ wget https://github.com/snakers4/silero-vad/raw/master/files/silero_vad.onnx
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}
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while (!vad->Empty()) {
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float duration = vad->Front().samples.size() / sample_rate;
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vad->Pop();
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const auto &segment = vad->Front();
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float duration = segment.samples.size() / sample_rate;
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fprintf(stderr, "Duration: %.3f seconds\n", duration);
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char filename[128];
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snprintf(filename, sizeof(filename), "seg-%d-%.3fs.wav", k, duration);
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k += 1;
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sherpa_onnx::WriteWave(filename, 16000, segment.samples.data(),
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segment.samples.size());
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fprintf(stderr, "Saved to %s\n", filename);
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fprintf(stderr, "----------\n");
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vad->Pop();
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}
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}
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}
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@@ -35,6 +35,7 @@ set(srcs
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vad-model-config.cc
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vad-model.cc
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voice-activity-detector.cc
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wave-writer.cc
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)
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if(SHERPA_ONNX_HAS_ALSA)
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list(APPEND srcs ${CMAKE_SOURCE_DIR}/sherpa-onnx/csrc/alsa.cc alsa.cc)
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@@ -26,6 +26,7 @@
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#include "sherpa-onnx/python/csrc/vad-model-config.h"
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#include "sherpa-onnx/python/csrc/vad-model.h"
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#include "sherpa-onnx/python/csrc/voice-activity-detector.h"
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#include "sherpa-onnx/python/csrc/wave-writer.h"
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#if SHERPA_ONNX_ENABLE_TTS == 1
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#include "sherpa-onnx/python/csrc/offline-tts.h"
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@@ -36,6 +37,8 @@ namespace sherpa_onnx {
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PYBIND11_MODULE(_sherpa_onnx, m) {
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m.doc() = "pybind11 binding of sherpa-onnx";
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PybindWaveWriter(&m);
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PybindFeatures(&m);
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PybindOnlineCtcFstDecoderConfig(&m);
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PybindOnlineModelConfig(&m);
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27
sherpa-onnx/python/csrc/wave-writer.cc
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27
sherpa-onnx/python/csrc/wave-writer.cc
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@@ -0,0 +1,27 @@
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// sherpa-onnx/python/csrc/wave-writer.cc
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//
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// Copyright (c) 2024 Xiaomi Corporation
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#include "sherpa-onnx/python/csrc/wave-writer.h"
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#include <string>
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#include <vector>
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#include "sherpa-onnx/csrc/wave-writer.h"
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namespace sherpa_onnx {
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void PybindWaveWriter(py::module *m) {
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m->def(
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"write_wave",
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[](const std::string &filename, const std::vector<float> &samples,
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int32_t sample_rate) -> bool {
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bool ok =
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WriteWave(filename, sample_rate, samples.data(), samples.size());
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return ok;
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},
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py::arg("filename"), py::arg("samples"), py::arg("sample_rate"));
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}
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} // namespace sherpa_onnx
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16
sherpa-onnx/python/csrc/wave-writer.h
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16
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@@ -0,0 +1,16 @@
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// sherpa-onnx/python/csrc/wave-writer.h
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//
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// Copyright (c) 2024 Xiaomi Corporation
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#ifndef SHERPA_ONNX_PYTHON_CSRC_WAVE_WRITER_H_
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#define SHERPA_ONNX_PYTHON_CSRC_WAVE_WRITER_H_
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#include "sherpa-onnx/python/csrc/sherpa-onnx.h"
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namespace sherpa_onnx {
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void PybindWaveWriter(py::module *m);
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}
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#endif // SHERPA_ONNX_PYTHON_CSRC_WAVE_WRITER_H_
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@@ -19,6 +19,7 @@ from _sherpa_onnx import (
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VadModel,
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VadModelConfig,
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VoiceActivityDetector,
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write_wave,
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)
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from .keyword_spotter import KeywordSpotter
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