voice-activity-detector.h
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// sherpa-onnx/csrc/voice-activity-detector.h
//
// Copyright (c) 2023 Xiaomi Corporation
#ifndef SHERPA_ONNX_CSRC_VOICE_ACTIVITY_DETECTOR_H_
#define SHERPA_ONNX_CSRC_VOICE_ACTIVITY_DETECTOR_H_
#include <memory>
#include <vector>
#include "sherpa-onnx/csrc/vad-model-config.h"
namespace sherpa_onnx {
struct SpeechSegment {
int32_t start; // in samples
std::vector<float> samples;
};
class VoiceActivityDetector {
public:
explicit VoiceActivityDetector(const VadModelConfig &config,
float buffer_size_in_seconds = 60);
template <typename Manager>
VoiceActivityDetector(Manager *mgr, const VadModelConfig &config,
float buffer_size_in_seconds = 60);
~VoiceActivityDetector();
void AcceptWaveform(const float *samples, int32_t n);
float Compute(const float *samples, int32_t n);
bool Empty() const;
void Pop();
void Clear();
// It is an error to call Front() if Empty() returns true.
//
// The returned reference is valid until the next call to any
// methods of VoiceActivityDetector.
const SpeechSegment &Front() const;
bool IsSpeechDetected() const;
// It is empty if IsSpeechDetected() returns false
SpeechSegment CurrentSpeechSegment() const;
void Reset() const;
// At the end of the utterance, you can invoke this method so that
// the last speech segment can be detected.
void Flush() const;
const VadModelConfig &GetConfig() const;
private:
class Impl;
std::unique_ptr<Impl> impl_;
};
} // namespace sherpa_onnx
#endif // SHERPA_ONNX_CSRC_VOICE_ACTIVITY_DETECTOR_H_