speakturbo-tts
Give your agent the ability to speak to you real-time. Talk to your Claude! Ultra-fast TTS, text-to-speech, voice synthesis, audio output with 90ms latency. 8 built-in voices for instant voice responses. For voice cloning, use the speak skill.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/emzod/speak-turbo --skill speakturbo-tts- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads speakturbo-tts automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
speakturbo - Talk to your Claude!
Give your agent the ability to speak to you real-time. Ultra-fast text-to-speech with ~90ms latency and 8 built-in voices.
Quick Start
# Play immediately - you should hear "Hello world" through your speakers
speakturbo "Hello world"
# Output: ⚡ 92ms → ▶ 93ms → ✓ 1245ms
# Verify it's working by saving to file
speakturbo "Hello world" -o test.wav
ls -lh test.wav # Should show ~50-100KB file
Output explained: ⚡ = first audio received, ▶ = playback started, ✓ = done
First Run
The first execution takes 2-5 seconds while the daemon starts and loads the model into memory. Subsequent calls are ~90ms to first sound.
# First run (slow - daemon starting)
speakturbo "Starting up" # ~2-5 seconds
# Second run (fast - daemon already running)
speakturbo "Now I'm fast" # ~90ms
Usage
# Basic - plays immediately (default voice: alba)
speakturbo "Hello world"
# Save to file (no audio playback)
speakturbo "Hello" -o output.wav
# Save to specific file
speakturbo "Goodbye" -o goodbye.wav
# Quiet mode (suppress status messages, still plays audio)
speakturbo "Hello" -q
# List available voices
speakturbo --list-voices
Available Voices
| Voice | Type |
|---|---|
alba | Female (default) |
marius | Male |
javert | Male |
jean | Male |
fantine | Female |
cosette | Female |
eponine | Female |
azelma | Female |
Performance
| Metric | Value |
|---|---|
| Time to first sound | ~90ms (daemon warm) |
| First run | 2-5s (daemon startup) |
| Real-time factor | ~4x faster |
| Sample rate | 24kHz mono |
Architecture
speakturbo (Rust CLI, 2.2MB)
│
│ HTTP streaming (port 7125)
▼
speakturbo-daemon (Python + pocket-tts)
│
│ Model in memory, auto-shutdown after 1hr idle
▼
Audio playback (rodio)
Text Input
- Encoding: UTF-8
- Quotes in text: Use escaping:
speakturbo "She said \"hello\"" - Long text: Supported, streams as it generates
Output Path Security
The -o flag only writes to directories that are on the allowlist. By default, these are:
/tmpand system temp directories- Your current working directory
~/.speakturbo/
If you need to write elsewhere, use --allow-dir:
speakturbo "Hello" -o /custom/path/audio.wav --allow-dir /custom/path
To permanently allow a directory, add it to ~/.speakturbo/config:
mkdir -p ~/.speakturbo && echo "/custom/path" >> ~/.speakturbo/config
The config file is one directory per line. Lines starting with # are comments.
Exit Codes
| Code | Meaning |
|---|---|
| 0 | Success (audio played/saved) |
| 1 | Error (daemon connection failed, invalid args) |
When to Use
Use speakturbo when:
- You need instant audio feedback (~90ms)
- Speed matters more than voice variety
- Built-in voices are sufficient
Use speak instead when:
- You need custom voice cloning (Morgan Freeman, etc.)
→
speak "text" --voice ~/.chatter/voices/morgan_freeman.wav - You need emotion tags like
[laugh],[sigh] - Quality/variety matters more than speed
See the speak skill documentation for full usage.
Troubleshooting
No audio plays:
# Check daemon is running
curl http://127.0.0.1:7125/health
# Expected: {"status":"ready","voices":["alba","marius",...]}
# Verify by saving to file and playing manually
speakturbo "test" -o /tmp/test.wav
afplay /tmp/test.wav # macOS
aplay /tmp/test.wav # Linux
Daemon won't start:
# Check port availability
lsof -i :7125
# Manually kill and restart
pkill -f "daemon_streaming"
speakturbo "test" # Auto-restarts daemon
First run is slow: This is expected. The daemon needs to load the ~100MB model into memory. Subsequent calls will be fast (~90ms).
Daemon Management
The daemon auto-starts on first use and auto-shuts down after 1 hour idle.
# Check status
curl http://127.0.0.1:7125/health
# Manual stop
pkill -f "daemon_streaming"
# View logs
cat /tmp/speakturbo.log
Comparison with speak
| Feature | speakturbo | speak |
|---|---|---|
| Time to first sound | ~90ms | ~4-8s |
| Voice cloning | ❌ | ✅ |
| Emotion tags | ❌ | ✅ |
| Voices | 8 built-in | Custom wav files |
| Engine | pocket-tts | Chatterbox |
FAQ
What does the speakturbo-tts skill do?
Give your agent the ability to speak to you real-time. Talk to your Claude! Ultra-fast TTS, text-to-speech, voice synthesis, audio output with 90ms latency. 8 built-in voices for instant voice responses. For voice cloning, use the speak skill.
How do I install speakturbo-tts?
Run npx skills add https://github.com/emzod/speak-turbo --skill speakturbo-tts in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/speakturbo-tts/ (personal) or .claude/skills/speakturbo-tts/ (project).
Which AI agents can use speakturbo-tts?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is speakturbo-tts safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains speakturbo-tts?
It is published by emzod in emzod/speak-turbo. It has 1,019 recorded installs.
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