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dsh-voice

Full-duplex voice mode for DeepSeek Harness: streamed ASR → LLM → TTS with barge-in.

Status

v0.7.0 — press-to-talk with a live caption.

Speak into the composer mic: the assistant silences itself (playback stops, host synthesis queue drops), the running turn is cancelled (the stop-button route), and your speech is transcribed by the host (SenseVoice, CN-native simplified-Chinese ASR with punctuation + ITN) and submitted. The reply streams back as spoken audio with live captions.

Three ways to dictate:

gesture behaviour
tap the mic continuous dictation; the VAD segments on trailing silence
hold the send key (or the mic) records until release, slide up to discard
hold Ctrl (configurable asr.hotkey) same, without leaving the keyboard; Esc discards

While a hold is open the overlay shows a live caption — the interim transcript of what has been said so far — and keeps a spinner up after release until the authoritative transcript lands.

Barge-in detection is triggered by the mic's leading speech edge. The ASR engine runs an NLMS acoustic echo canceller (see src/aec.ts) using the page's own TTS playback as the echo reference, so loud assistant audio is subtracted from the mic before the VAD — the browser-level echoCancellation constraint is kept only as a fallback when no echo reference is available.

Live caption interims are incremental: each pass sends only the audio recorded since the last pass (correlated by session header), and the host decodes a bounded sliding window per session instead of re-decoding the whole hold. Preview cost therefore stops growing with hold length.

Demo

dsh-voice demo

The loop: hold the composer's send key (its arrow is covered by a mic glyph), watch the live caption fill in while you speak, release into a spinner until the final transcript lands, then the reply streams back as spoken audio sentence-by-sentence — until the user's voice interrupts playback and stops the running turn mid-line (true barge-in). Ctrl does the same without leaving the keyboard.

How it works

input:  mic ──RMS endpoint detection──▶ POST /asr (raw f32 PCM)
                                           │ text (SenseVoice)
                                           ▼
        composer draft ──submit──▶ model stream ──llm/stream tap──▶ SentenceSegmenter
                                                                     │
        browser ◀── SSE /dsh-voice-api/stream ── TtsQueue (msedge-tts) ◀──┘
                  (base64 MP3 frames + caption text)

barge-in: speech edge ──▶ engine.skip() + POST /cancel (epoch bump)
                         + session.cancel() when a turn is running
  • The llm/stream tap is lossless: every chunk is yielded unchanged, the segmenter only observes. The model stream is never blocked by synthesis.
  • ASR runs host-side with sherpa-onnx (Apache-2.0) running SenseVoice — the CN-native speech model that outperforms whisper on Chinese: native simplified output, punctuation, inverse text normalization (ITN) and 50+ language auto-detection. The browser only records and posts raw little-endian f32 PCM.
  • Model files stream through a cache-through proxy at /dsh-voice-api/hf and are mirrored to disk (~/.cache/dsh-voice/models/, configurable via cacheDir), so every browser/recognizer load after the first is served from local disk. Downloads resume from partial .part files when interrupted. Use npm run prefetch to warm the cache once.
  • RMS endpoint detection: 16kHz getUserMedia, 2s trailing-silence cutoff, max 30s segment, pre/post padding. Zero dependencies.
  • Press-to-talk bypasses the VAD entirely. Holding the key is already the intent, so every buffer between press and release is kept — gating on loudness there only drops quiet speech, which is indistinguishable from a broken button. Only captures below 250ms are discarded (mis-taps).
  • Live caption: while a hold is open the engine re-decodes the buffer every ~900ms and shows the interim text. SenseVoice is not a streaming model, so this is only requested while the overlay is actually on screen, and stops past 12s of audio. Interims are strictly previews: they never reach the composer draft, and an interim that lands after the release is dropped (epoch check) so it can never overwrite the final transcript.
  • Barge-in is three-layered: local playback queue cleared, host TtsQueue epoch bumped (queued AND in-flight synthesis dropped), and the running turn cancelled when session.running is true. An aborted turn never flushes its trailing half-sentence — exactly what the user interrupted.
  • modelHost accepts any HF-compatible mirror (e.g. https://hf-mirror.com for CN networks).

API

Route Purpose
GET /dsh-voice-api/stream SSE; event: audio frames {sessionId, seq, text, audio(base64 MP3)}
POST /dsh-voice-api/asr raw little-endian f32 PCM body → {text} via SenseVoice
POST /dsh-voice-api/cancel {sessionId} drops queued + in-flight synthesis (epoch bump)
GET /dsh-voice-api/config ASR runtime config {asr: {...}} for the mic button
GET /dsh-voice-api/hf/* cache-through HF model proxy (mirrors to cacheDir)
GET /dsh-voice-api/* ping: {ok, name, enabled}

Config (bundle patch row):

- id: voice
  name: '@haoku123/dsh-voice'
  config:
    voice: zh-CN-XiaoxiaoNeural
    cacheDir: ~/.cache/dsh-voice/models   # optional, on-disk model cache
    asr:
      model: csukuangfj/sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17
      modelHost: https://huggingface.co   # or https://hf-mirror.com
      language: auto                      # auto | zh | en | ja | ko | yue
      useItn: true                        # inverse text normalization
      autoSend: false
      mode: toggle                        # toggle | hold
      hotkey: Control                     # keyboard press-to-talk; '' disables

Model files are fetched through the proxy on first use; warm the cache once with the dsh host running:

npm run prefetch          # uses http://127.0.0.1:3080 by default

Install

dsh plugin --profile web add <repo-url-or-path>
dsh --profile web

Note: needs Node ≥ 22.19 or ≥ 24 (node:zlib zstd APIs).

Tests

npm test                                # segmenter unit tests (pure, no network)
node test/host.integration.test.mjs     # llm/stream tap + real Edge TTS + SSE + /config
node test/bargein.test.mjs              # client inject face wiring (skipPlayback/cancelTurn)
node test/bargein-semantics.test.mjs    # aborted turn no-flush + cancel drops in-flight
node verify-client.mjs                  # client bundle registration/exports/slots/dynamic-import

About

Full-duplex voice plugin for DeepSeek Harness: mic → SenseVoice ASR (sherpa-onnx) → LLM → Edge TTS with true barge-in. 全双工语音插件:麦克风语音输入,SenseVoice 本地识别(简体中文+标点+ITN),流式 TTS 朗读,支持语音打断。Zero API key.

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