Files
wehub-resource-sync b957a53def
CodeQL / Analyze (csharp) (push) Has been cancelled
CodeQL / Analyze (python) (push) Has been cancelled
chore: import upstream snapshot with attribution
2026-07-13 13:21:23 +08:00

114 lines
4.3 KiB
C#

// Copyright (c) Microsoft. All rights reserved.
using WebRtcVadSharp;
public class VadService : IDisposable
{
// Voice Activity Detection Constants
private const int MaxPrerollFrames = 10; // Maximum number of frames to keep before speech detection
private const int SilenceThresholdFrames = 20; // Number of consecutive silent frames to end speech segment
private const double MinSpeechDurationSeconds = 0.8; // Minimum duration in seconds for valid speech utterance
private readonly WebRtcVad _vad = new() { OperatingMode = OperatingMode.VeryAggressive };
private readonly TurnManager _turnManager;
// State for pipeline processing
private readonly Queue<byte[]> _preroll = new();
private readonly List<byte> _speech = [];
private int _silenceFrames = 0;
private bool _inSpeech = false;
public VadService(TurnManager turnManager)
{
this._turnManager = turnManager;
}
/// <summary>
/// Pipeline integration method for processing audio chunk events into speech segments.
/// This method handles the pipeline event creation and processing.
/// </summary>
/// <param name="audioChunkEvent">Audio chunk event from the pipeline.</param>
/// <returns>Audio events when speech segments are detected.</returns>
public IEnumerable<AudioEvent> Transform(AudioChunkEvent audioChunkEvent)
{
foreach (var audioEvent in this.ProcessAudioChunk(audioChunkEvent.Payload))
{
yield return audioEvent;
}
}
/// <summary>
/// Creates an AudioChunkEvent from raw audio data for pipeline processing.
/// </summary>
/// <param name="audioChunk">Raw audio chunk from microphone.</param>
/// <returns>AudioChunkEvent ready for pipeline processing.</returns>
public AudioChunkEvent CreateAudioChunkEvent(byte[] audioChunk)
{
return new AudioChunkEvent(this._turnManager.CurrentTurnId, this._turnManager.CurrentToken, audioChunk);
}
/// <summary>
/// Legacy pipeline integration method for processing raw audio chunks into speech segments.
/// </summary>
/// <param name="audioChunk">Raw audio chunk from microphone.</param>
/// <returns>Audio events when speech segments are detected.</returns>
public IEnumerable<AudioEvent> Transform(byte[] audioChunk)
{
foreach (var audioEvent in this.ProcessAudioChunk(audioChunk))
{
yield return audioEvent;
}
}
/// <summary>
/// Core audio processing logic for speech detection and segmentation.
/// </summary>
/// <param name="audioChunk">Raw audio chunk to process.</param>
/// <returns>Audio events when speech segments are detected.</returns>
private IEnumerable<AudioEvent> ProcessAudioChunk(byte[] audioChunk)
{
bool voiced = this.HasSpeech(audioChunk); // audioChunk expected to be in 20ms chunks
if (!this._inSpeech)
{
this._preroll.Enqueue(audioChunk);
while (this._preroll.Count > MaxPrerollFrames)
{
this._preroll.Dequeue();
}
if (voiced)
{
this._inSpeech = true;
while (this._preroll.Count > 0)
{
this._speech.AddRange(this._preroll.Dequeue());
this._silenceFrames = 0;
}
}
}
else
{
this._speech.AddRange(audioChunk);
this._silenceFrames = voiced ? 0 : this._silenceFrames + 1;
if (this._silenceFrames >= SilenceThresholdFrames)
{
var audio = new AudioData(this._speech.ToArray(), AudioOptions.SampleRate, AudioOptions.Channels, AudioOptions.BitsPerSample);
if (audio.Duration.TotalSeconds > MinSpeechDurationSeconds)
{
this._turnManager.Interrupt();
yield return new AudioEvent(this._turnManager.CurrentTurnId, this._turnManager.CurrentToken, audio);
}
this._speech.Clear();
this._inSpeech = false;
this._silenceFrames = 0;
}
}
}
public bool HasSpeech(byte[] frame20ms) => this._vad.HasSpeech(frame20ms, SampleRate.Is16kHz, FrameLength.Is20ms);
public void Dispose() => this._vad.Dispose();
}