is it possible to know the user speech duration in a session?

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Using VAD, node

Thanks — you're asking how to measure user speech duration in a session using VAD in Node. Below I’ll show a straightforward approach and a runnable pattern you can adapt. Concept • Use VAD events that indicate when speech starts and ends. • Record timestamps for start and end events and compute duration = end - start. • Handle cases with multiple speech segments by accumulating durations per user for the session. Simple Node.js pattern 1. Listen for VAD events (e.g.,

START_OF_SPEECH

/

END_OF_SPEECH

or similar event names your VAD emits). 2. On start: record a start timestamp for that user (Date.now() or performance.now()). 3. On end: compute segment duration = endTime - startTime, add to that user’s accumulated speech time, then clear the start timestamp. 4. Optionally: ignore very short segments by thresholding (e.g., < 100 ms) to filter noise. Example (pseudo/Node.js — adapt to your VAD event API):

// Map to track current speech start and accumulated duration per user
const userSpeechState = new Map();
// Example event handler names; replace with your VAD integration events
// e.g., vad.on('start_of_speech', handler) and vad.on('end_of_speech', handler)

function onStartOfSpeech(userId) {
  const now = Date.now();
  const state = userSpeechState.get(userId) || { start: null, total: 0 };
  // If already in speech, ignore repeated starts
  if (!state.start) {
    state.start = now;
    userSpeechState.set(userId, state);
  }
}

function onEndOfSpeech(userId) {
  const now = Date.now();
  const state = userSpeechState.get(userId);
  if (!state || !state.start) return; // no matching start

  const segmentMs = now - state.start;
  // optional: ignore very short segments (noise)
  const MIN_SEGMENT_MS = 100;
  if (segmentMs >= MIN_SEGMENT_MS) {
    state.total += segmentMs;
  }
  state.start = null;
  userSpeechState.set(userId, state);

  // convert to seconds for display
  const seconds = (segmentMs / 1000).toFixed(2);
  console.log(`User ${userId} spoke for ${seconds}s this segment. Total: ${(state.total/1000).toFixed(2)}s`);
}

// Example usage wiring (replace with actual VAD emitter)
vad.on('start_of_speech', ({ userId }) => onStartOfSpeech(userId));
vad.on('end_of_speech', ({ userId }) => onEndOfSpeech(userId));

// If you need the total at any time:
function getTotalSpeechSeconds(userId) {
  const state = userSpeechState.get(userId) || { total: 0, start: null };
  let total = state.total;
  // include in-progress segment if any
  if (state.start) total += (Date.now() - state.start);
  return total / 1000;
}

Notes and best practices • Use high-resolution timers if you need sub-ms accuracy (e.g.,

performance.now()

). • Debounce/merge short gaps: VAD sometimes produces very short silences during natural pauses. If you want continuous speech counting across short gaps, treat short silence gaps (e.g., < 200–300 ms) as still part of the same utterance. • If you already run STT, you can cross-check with transcript `start_time`/`end_time` or

STTMetrics.audio_duration

to validate VAD durations. • Track by unique user ID that your session provides so counts are per-user. Would you like a version tailored to a specific VAD library/event shape (for example, the exact LiveKit VAD event names and payloads), and do you want code that merges short pauses automatically?