Name: Pocket Tts
Author: sherajdev

据 AlphaMoat 统计,截至 2026-09,Pocket Tts 累计下载 3,571 次、获 3 个星标,在全部 5,078 个 AI 技能中排名第 3,061 位,在「设计创意」分类(512 个)中排名第 281 位。

累计安装

323

累计下载

3,571

星标

全站排名

#3,061

全站前 61% · 「设计创意」前 55%

平台	累计安装	累计下载	星标	评论
ClawHub ↗	95	2,922	3	-
SkillHub ↗	323	3,571	3	—

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

CLI 和 Python 示例可选预设声音或 WAV 样本、调整速度并保存音频，可选本地服务器。需 Python、PyTorch 和受限模型条款许可，首次可能下载模型或声音资源。应在隔离环境审查固定依赖，仅克隆获用户许可的声音；本地推理不等于无需安装下载。

资料发布于 2026-10-27

可以用来做什么

使用选定声音准备本地英语旁白

什么时候用

英语文本需要本地语音生成流程时

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

检查模型条款与下载资源，选择获准声音和输出路径，准备英语旁白，不作未经许可克隆。

月度数据趋势

累计下载3,571

星标3

2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。

月份	累计下载	环比	星标
2026-09	3,571	—	3
2026-08	3,118	+4.7%	3
2026-07	2,978	+17.3%	3
2026-06	2,539	-2.3%	3
2026-05	2,598	—	3
2026-03	2,293	—	3

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。

3.1 KB · ClawHub v1.0.1

# Pocket TTS Skill

Fully local, offline text-to-speech using Kyutai's Pocket TTS model. Generate high-quality audio from text without any API calls or internet connection. Features 8 built-in voices, voice cloning support, and runs entirely on CPU.

## Features

- 🎯 **Fully local** - No API calls, runs completely offline
- 🚀 **CPU-only** - No GPU required, works on any computer
- ⚡ **Fast generation** - ~2-6x real-time on CPU
- 🎤 **8 built-in voices** - alba, marius, javert, jean, fantine, cosette, eponine, azelma

展开全部(共 122 行)

- 🎭 **Voice cloning** - Clone any voice from a WAV sample
- 🔊 **Low latency** - ~200ms first audio chunk
- 📚 **Simple Python API** - Easy integration into any project

## Installation

```bash
# 1. Accept the model license on Hugging Face
# https://huggingface.co/kyutai/pocket-tts

# 2. Install the package
pip install pocket-tts

# Or use uv for automatic dependency management
uvx pocket-tts generate "Hello world"
```

## Usage

### CLI

```bash
# Basic usage
pocket-tts "Hello, I am your AI assistant"

# With specific voice
pocket-tts "Hello" --voice alba --output hello.wav

# With custom voice file (voice cloning)
pocket-tts "Hello" --voice-file myvoice.wav --output output.wav

# Adjust speed
pocket-tts "Hello" --speed 1.2

# Start local server
pocket-tts --serve

# List available voices
pocket-tts --list-voices
```

### Python API

```python
from pocket_tts import TTSModel
import scipy.io.wavfile

# Load model
tts_model = TTSModel.load_model()

# Get voice state
voice_state = tts_model.get_state_for_audio_prompt(
    "hf://kyutai/tts-voices/alba-mackenna/casual.wav"
)

# Generate audio
audio = tts_model.generate_audio(voice_state, "Hello world!")

# Save to WAV
scipy.io.wavfile.write("output.wav", tts_model.sample_rate, audio.numpy())

# Check sample rate
print(f"Sample rate: {tts_model.sample_rate} Hz")
```

## Available Voices

| Voice | Description |
|-------|-------------|
| alba | Casual female voice |
| marius | Male voice |
| javert | Clear male voice |
| jean | Natural male voice |
| fantine | Female voice |
| cosette | Female voice |
| eponine | Female voice |
| azelma | Female voice |

Or use `--voice-file /path/to/wav.wav` for custom voice cloning.

## Options

| Option | Description | Default |
|--------|-------------|---------|
| `text` | Text to convert | Required |
| `-o, --output` | Output WAV file | `output.wav` |
| `-v, --voice` | Voice preset | `alba` |
| `-s, --speed` | Speech speed (0.5-2.0) | `1.0` |
| `--voice-file` | Custom WAV for cloning | None |
| `--serve` | Start HTTP server | False |
| `--list-voices` | List all voices | False |

## Requirements

- Python 3.10-3.14
- PyTorch 2.5+ (CPU version works)
- Works on 2 CPU cores

## Notes

- ⚠️ Model is gated - accept license on Hugging Face first
- 🌍 English language only (v1)
- 💾 First run downloads model (~100M parameters)
- 🔊 Audio is returned as 1D torch tensor (PCM data)

## Links

- [Demo](https://kyutai.org/tts)
- [GitHub](https://github.com/kyutai-labs/pocket-tts)
- [Hugging Face](https://huggingface.co/kyutai/pocket-tts)
- [Paper](https://arxiv.org/abs/2509.06926)