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.
- Skill ID
- emzod/speak-turbo/speakturbo-tts
- Publisher
- emzod
- Repository
- speak-turbo
- Installs
- 0
- Files
- 19
- Synced
- Sep 23, 2026
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
emzod/speak-turbo/speakturbo-ttsInstalls these files- .github/workflows/ci.yml
- .github/workflows/install-test.yml
- .gitignore
- AGENTS.md
- LICENSE
- README.md
- SKILL.md
- install.sh
- package.json
- pyproject.toml
- speakturbo-cli/Cargo.toml
- speakturbo-cli/src/main.rs
- speakturbo/__init__.py
- speakturbo/cli.py
- speakturbo/daemon_streaming.py
- speakturbo/tests/__init__.py
- speakturbo/tests/test_cli.py
- speakturbo/tests/test_daemon.py
- uv.lock
What this skill tells the agent
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 fileOutput 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" # ~90msUsage
# 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-voicesAvailable 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/pathTo permanently allow a directory, add it to ~/.speakturbo/config:
mkdir -p ~/.speakturbo && echo "/custom/path" >> ~/.speakturbo/configThe 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 # LinuxDaemon won't start:
# Check port availability
lsof -i :7125
# Manually kill and restart
pkill -f "daemon_streaming"
speakturbo "test" # Auto-restarts daemonFirst 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.logComparison 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 |
More from emzod
Use this skill in a project
Open any RiverX project, search the Skills panel for emzod/speak-turbo/speakturbo-tts, and install it in one click.
