bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
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.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install emzod/speakturbo-ttsExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Give your agent the ability to speak to you real-time. Ultra-fast text-to-speech with ~90ms latency and 8 built-in voices.
# 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
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
# 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
| Voice | Type |
|---|---|
alba |
Female (default) |
marius |
Male |
javert |
Male |
jean |
Male |
fantine |
Female |
cosette |
Female |
eponine |
Female |
azelma |
Female |
| Metric | Value |
|---|---|
| Time to first sound | ~90ms (daemon warm) |
| First run | 2-5s (daemon startup) |
| Real-time factor | ~4x faster |
| Sample rate | 24kHz mono |
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)
speakturbo "She said \"hello\""
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
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For AI Agents (Claude Code, Cursor, Windsurf):
npx skills add EmZod/Speak-Turbo
CLI only:
pip install pocket-tts uvicorn fastapi
cd speakturbo-cli && cargo build --release
speakturbo "Hello world" # Play instantly
speakturbo "Hello" -o out.wav # Save to file
speakturbo "Hello" -q # Quiet mode
speakturbo --list-voices # Show voices
alba ██████████ Female (default)
marius ██████████ Male
javert ██████████ Male
jean ██████████ Male
fantine ██████████ Female
cosette ██████████ Female
eponine ██████████ Female
azelma ██████████ Female
Time to...
# 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
```bash
# 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.
```bash
# First run (slow - daemon starting)
speakturbo "Starting up" # ~2-5 seconds
# Second run (fast - daemon already running)
speakturbo "Now I'm fast" # ~90ms
```
## Usage
```bash
# 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\""`
- *...```
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██╔════╝██╔══██╗██╔════╝██╔══██╗██║ ██╔╝ ╚══██╔══╝██║ ██║██╔══██╗██╔══██╗██╔═══██╗
███████╗██████╔╝█████╗ ███████║█████╔╝ ██║ ██║ ██║██████╔╝██████╔╝██║ ██║
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╚══════╝╚═╝ ╚══════╝╚═╝ ╚═╝╚═╝ ╚═╝ ╚═╝ ╚═════╝ ╚═╝ ╚═╝╚═════╝ ╚═════╝
```
<h3 align="center">Talk to your Claude.</h3>
<p align="center">
<a href="https://speakturbo-site.vercel.app"><img src="https://img.shields.io/badge/website-speakturbo-f97316.svg" alt="Website"></a>
<a href="LICENSE"><img src="https://img.shields.io/badge/license-MIT-blue.svg" alt="License"></a>
<img src="https://img.shields.io/badge/latency-~90ms-brightgreen.svg" alt="Latency">
<img src="https://img.shields.io/badge/platform-Apple%20Silicon-orange.svg" alt="Platform">
</p>
<p align="center">
<strong>~90ms to first sound. Realistic. Local. Private. Fast.</strong>
</p>
<p align="center">
<code>speakturbo "Hello world"</code> → <code>⚡ 92ms → ▶ 93ms → ✓ done</code>
</p>
---
## Install
**For AI Agents** (Claude Code, Cursor, Windsurf):
```bash
npx skills add EmZod/Speak-Turbo
```
**CLI only:**
```bash
pip install pocket-tts uvicorn fastapi
cd speakturbo-cli && cargo build --release
```
---
## Usage
```bash
speakturbo "Hello world" # Play instantly
speakturbo "Hello" -o out.wav # Save to file
speakturbo "Hello" -q # Quiet mode
speakturbo --list-voices # Show voices
```
---
## Voices
```
alba ██████████ Female (default)
marius ██████████ Male
javert ██████████ Male
jean ██████████ Male
fantine ██████████ Female
cosette ██████████ Female
eponine ██████████ Female
azelma ██████████ Female
```
---
## Performance
```
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