Voice

Speak text aloud and transcribe speech with local and cloud providers.

Usage

/voice command loop

/voice What should we work on next?

Optional inline config:

• /voice stt=local tts=local duration=8 What should we work on next?
• /voice stt=elevenlabs tts=elevenlabs duration=10 Ready when you are.

Local TTS (macOS say)

uv run ~/.claude/skills/voice/scripts/tts_local.py --text "Hello Michael"

Examples:

# Save audio to file
uv run ~/.claude/skills/voice/scripts/tts_local.py \
  --text "Build succeeded" \
  --voice Alex \
  --rate 200 \
  --output /tmp/build.aiff

# List macOS voices
uv run ~/.claude/skills/voice/scripts/tts_local.py --list-voices

Local STT (mlx-whisper, Apple Silicon)

# Record microphone for 5 seconds and transcribe
uv run ~/.claude/skills/voice/scripts/stt_local.py --duration 5

# Transcribe an existing file
uv run ~/.claude/skills/voice/scripts/stt_local.py --file ./meeting.wav

# List input devices
uv run ~/.claude/skills/voice/scripts/stt_local.py --list-devices

# Use a specific device
uv run ~/.claude/skills/voice/scripts/stt_local.py --duration 5 --device 1

ElevenLabs TTS (cloud)

uv run ~/.claude/skills/voice/scripts/tts_elevenlabs.py \
  --text "Hello Michael" \
  --voice George

Examples:

# Save and play the generated mp3
uv run ~/.claude/skills/voice/scripts/tts_elevenlabs.py \
  --text "Deployment complete" \
  --model eleven_turbo_v2_5 \
  --output /tmp/deploy.mp3 \
  --play

ElevenLabs STT (Scribe v2)

# Record microphone for 5 seconds and transcribe
uv run ~/.claude/skills/voice/scripts/stt_elevenlabs.py --duration 5

# Transcribe an existing audio file
uv run ~/.claude/skills/voice/scripts/stt_elevenlabs.py --file ./call.wav

# List input devices
uv run ~/.claude/skills/voice/scripts/stt_elevenlabs.py --list-devices

# Use a specific device
uv run ~/.claude/skills/voice/scripts/stt_elevenlabs.py --duration 5 --device 1

Provider checks

uv run ~/.claude/skills/voice/scripts/tts_local.py --check
uv run ~/.claude/skills/voice/scripts/stt_local.py --check
uv run ~/.claude/skills/voice/scripts/tts_elevenlabs.py --check
uv run ~/.claude/skills/voice/scripts/stt_elevenlabs.py --check

Provider Comparison

Provider	Mode	Latency	Quality	Cost
tts_local.py	Local	Low	Good	Free
stt_local.py	Local	Medium (first run downloads model)	Good	Free
tts_elevenlabs.py	Cloud	Very low with flash model	Very high	Paid API
stt_elevenlabs.py	Cloud	Low	Very high	Paid API

Environment Variables

Variable	Required	Used by
ELEVENLABS_API_KEY	Yes (cloud only)	tts_elevenlabs.py, stt_elevenlabs.py
ELEVEN_LABS_API_KEY	Accepted alias	tts_elevenlabs.py, stt_elevenlabs.py

Set via ~/.env or shell export.

Troubleshooting

Getting an ElevenLabs API key

1. Open https://elevenlabs.io/app/settings/api-keys
2. Create a key
3. Export it:

export ELEVENLABS_API_KEY=your-key-here

macOS microphone permissions

If transcription fails with permission errors:

1. Open System Settings -> Privacy & Security -> Microphone
2. Allow Terminal (or your Claude host app)
3. Re-run the command

Common issues

• say: command not found: install or restore macOS command line tools
• mlx-whisper import error: run command via uv run so dependencies install
• API key invalid: regenerate key and ensure no whitespace

Self-Validation

Run fast provider checks:

uv run ~/.claude/skills/voice/tests/test_voice.py

Run file-based ask/listen/respond loop (no microphone required):

uv run ~/.claude/skills/voice/tests/test_voice_loop.py

Include cloud loop validation (requires ElevenLabs key):

uv run ~/.claude/skills/voice/tests/test_voice_loop.py --cloud

Fixture files for loop validation:

• tests/fixtures/loop_prompt.txt
• tests/fixtures/expected_keyword.txt

References

• Architecture & research: See references/architecture.md — three-tier design, ElevenLabs API details, Claude Code background communication research, CLI programmatic modes
• Voice bridge backlog: See backlog/voice-bridge-plan.md — standalone process for continuous voice conversation with self-eval loop