@wenjinnn/pi-mimo-voice1.1.1

pi-mimo-voice

🇨🇳 中文文档

Voice input (STT) and output (TTS) for pi powered by Xiaomi MiMo V2.5 API.

🔊 Please turn on sound for the demo below

https://github.com/user-attachments/assets/9a9f9984-9476-4c4e-bbeb-ae088a7d875c

Features

• 🎤 Speech-to-Text (STT) — Record audio from microphone and transcribe
• 🔊 Text-to-Speech (TTS) — Speak text aloud through speakers
• 🗣️ Auto-speak — Automatically read all assistant replies
• 🎙️ Live mode — Continuous voice conversation loop
• 🎛️ Interactive config — Voice, model, engine, and region settings

Installation

# Install from npm
pi install npm:@wenjinnn/pi-mimo-voice

# Or install from GitHub
pi install git:github.com/wenjinnn/pi-mimo-voice

# Or clone manually
cd ~/.pi/agent/extensions
git clone https://github.com/wenjinnn/pi-mimo-voice.git

Quick Start

# 1. Set API key (via environment variable or pi /login)
export XIAOMI_TOKEN_PLAN_CN_API_KEY="your-key"  # China region
# Or: export XIAOMI_API_KEY="your-key"          # Global

# 2. Restart pi or /reload

# 3. Try it
/speak Hello from MiMo!
/listen
/listen stop

Commands

Text-to-Speech

Command	Description
/speak <text>	Speak text aloud using MiMo TTS

Speech-to-Text

Command	Description
/listen	Start recording (manual stop with /listen stop)
/listen stop	Stop recording and transcribe
/listen auto-stop N	Record for N seconds then transcribe
/listen N	Record for N seconds (max 60) then transcribe

Auto-speak & Live Mode

Command	Description
/auto-speak	Toggle auto-speak (read all assistant replies). Use /auto-speak on|off for explicit control
/live	Start/stop live voice mode (auto-speak ON, begins recording)
/live reply	Stop recording, transcribe, and send to LLM

Live mode flow:

1. /live → recording starts
2. Speak when ready
3. /live reply → transcribes and sends
4. AI responds → auto-speak reads it → next recording starts
5. Repeat from step 2
6. /live to stop

Configuration

Command	Description
/voice-config	Interactive settings: voice, TTS model, STT engine, API region

LLM Tools

When installed, the LLM can call these tools directly:

mimo_tts

Convert text to speech. Parameters:

• text (required) — Text to speak
• style (optional) — Style instruction (e.g., "excited", "calm", "东北话")

mimo_stt

Record and transcribe speech. Parameters:

• duration (optional) — Recording duration in seconds (default: 10, max: 60)
• auto_stop (optional) — Auto-stop when silence detected (default: false)

Voices

Preset Voices

Voice	ID	Language	Gender
Default	mimo_default	auto	auto
冰糖	冰糖	zh	female
茉莉	茉莉	zh	female
苏打	苏打	zh	male
白桦	白桦	zh	male
Mia	Mia	en	female
Chloe	Chloe	en	female
Milo	Milo	en	male
Dean	Dean	en	male

TTS Models

Model	Description
mimo-v2.5-tts	Preset voices (default)
mimo-v2.5-tts-voicedesign	Custom voice via text description
mimo-v2.5-tts-voiceclone	Clone voice from audio sample

API Configuration

The extension auto-detects the API region from your pi auth.json provider:

Provider	auth.json Key	Environment Variable	Region
Xiaomi MiMo	xiaomi	XIAOMI_API_KEY	Global
Token Plan CN	xiaomi-token-plan-cn	XIAOMI_TOKEN_PLAN_CN_API_KEY	China
Token Plan AMS	xiaomi-token-plan-ams	XIAOMI_TOKEN_PLAN_AMS_API_KEY	Amsterdam
Token Plan SGP	xiaomi-token-plan-sgp	XIAOMI_TOKEN_PLAN_SGP_API_KEY	Singapore

Setup Options

Option 1: Environment Variable

export XIAOMI_TOKEN_PLAN_CN_API_KEY="your-key"

Option 2: pi /login

/login  → Select provider → Enter API key

Option 3: auth.json

{
  "xiaomi-token-plan-cn": { "type": "api_key", "key": "your-key" }
}

See pi providers docs for more details.

Requirements

• Node.js ≥ 18
• MiMo API key — configured via pi /login or environment variable (see API Configuration)
• ffmpeg — for audio recording and playback (cross-platform)

Platform-Specific Audio Tools

Platform	Recording	Playback (priority order)
Linux	parecord (PulseAudio) → ffmpeg	paplay → aplay → ffplay → mpv
macOS	ffmpeg + avfoundation	afplay (built-in) → ffplay → mpv
Windows	ffmpeg + dshow	ffplay → mpv

Linux: PulseAudio is recommended (parecord/paplay). ALSA (aplay) also works for playback.

macOS: No extra tools needed — afplay is built-in, ffmpeg handles recording via avfoundation.

Windows: Install ffmpeg and ensure it's in PATH. Default recording device is audio=麦克风, override with MIC_DEVICE env var.

⚠️ Cross-platform note: macOS and Windows support is based on ffmpeg's platform-specific audio backends (avfoundation/dshow) but has not been fully tested on real hardware. Linux is the primary tested platform. If you encounter issues on macOS or Windows, please open an issue — feedback and contributions are very welcome!

Environment Variables

Variable	Description
MIC_DEVICE	Override audio recording device (all platforms)
WHISPER_MODEL	Path to whisper.cpp model file

npm Dependencies

The following dependencies are provided by pi automatically:

• @earendil-works/pi-coding-agent — pi extension API
• @earendil-works/pi-tui — pi TUI components
• typebox — type validation

Optional

• whisper.cpp — for local STT (faster, no API calls)
  • Set path: /voice-config → Whisper.cpp Path
  • Download model: whisper-cpp-download-ggml-model base

How It Works

TTS Flow

Text → MiMo TTS API → WAV audio → paplay/aplay/ffplay/mpv

STT Flow

Microphone → parecord/ffmpeg → WAV file → whisper.cpp or MiMo API → Text

Live Mode Flow

/live → Start recording
User speaks
/live reply → Stop recording → Transcribe → Send to LLM
LLM responds → Auto-speak reads response
Auto-start next recording

Feedback & Contributing

This project is actively maintained. If you have questions, bug reports, or feature requests:

• 🐛 Open an issue
• 🔀 Submit a pull request
• 💬 Share your experience and suggestions

Contributions of any kind are welcome!

License

MIT