Tencent SkillHub · AI

Speak Turbo - Talk to your Claude 90ms latency!

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....

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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....

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Quick setup

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Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: speakturbo/daemon_streaming.py, speakturbo/tests/__init__.py, speakturbo/tests/test_daemon.py, speakturbo/tests/test_cli.py, speakturbo/__init__.py, speakturbo/cli.py

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Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.7

Provenance

Publisher: EmZod
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 14 sections Open source page

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

VoiceTypealbaFemale (default)mariusMalejavertMalejeanMalefantineFemalecosetteFemaleeponineFemaleazelmaFemale

Performance

MetricValueTime to first sound~90ms (daemon warm)First run2-5s (daemon startup)Real-time factor~4x fasterSample rate24kHz 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: /tmp and 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

CodeMeaning0Success (audio played/saved)1Error (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

FeaturespeakturbospeakTime to first sound~90ms~4-8sVoice cloning❌✅Emotion tags❌✅Voices8 built-inCustom wav filesEnginepocket-ttsChatterbox

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

6 Scripts

speakturbo/__init__.py Scripts
speakturbo/cli.py Scripts
speakturbo/daemon_streaming.py Scripts
speakturbo/tests/__init__.py Scripts
speakturbo/tests/test_cli.py Scripts
speakturbo/tests/test_daemon.py Scripts