// audio · PaddlePaddle/PaddleSpeech

PaddleSpeech

PaddleSpeech é um projeto de áudio de código aberto de PaddlePaddle (PaddlePaddle/PaddleSpeech no GitHub). Tem 12.690 estrelas no GitHub e 1.955 forks, é publicado sob a licença Apache-2.0 e foi atualizado pela última vez no GitHub em 12 de agosto de 2026.

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text…

★ 12,7 mil estrelas⑂ 2,0 mil forksApache-2.0atualizado ago 2026

Ver no GitHub ↗Official site ↗

▦ visual: o README deste projeto não inclui nenhuma captura incorporável,
então aqui vai um marcador. O guia abaixo está completo mesmo assim.

// dados do projeto

Dados do projeto

Repositório: PaddlePaddle/PaddleSpeech
Estrelas no GitHub: 12.690
Forks: 1.955
Licença: Apache-2.0
Última atualização no GitHub: 12 de agosto de 2026
Categoria: Áudio
Tipo de ficha: Guia de instalação completo
Site oficial: Official site

// como funciona

Como funciona

Pick your direction
Speech-to-text, text-to-speech, voice cloning, or music/SFX generation — each project here has a lane.
Install the runtime
Python packages, Docker images, and C++ builds cover servers, desktops, and edge devices.
Load a model or voice
Download the weights or pick a voice; many tools bundle a strong default so you can start immediately.
Process your audio
Transcribe files, synthesize scripts, or generate music — then export standard audio formats.

// recursos

Por que as pessoas gostam tanto

State-of-the-art transcription

Open speech recognition now rivals paid APIs on accuracy across languages.

Natural neural voices

Modern TTS is strikingly human — good enough for narration and voiceovers.

Voice cloning

Clone a voice from a short sample for consistent characters and branding.

Music & SFX generation

Compose backing tracks and sound effects from text descriptions.

Runs offline

Entire pipelines work without internet — ideal for private or field use.

API-compatible servers

Drop-in endpoints that mimic commercial APIs, so existing apps switch easily.

// execute você mesmo

Execute você mesmo

Step 1 — Clone the repo
Download the source and move into the project folder.
```
git clone https://github.com/PaddlePaddle/PaddleSpeech.git
cd PaddleSpeech
```
Step 2 — Create an environment
Isolate dependencies so nothing clashes with your other projects.
```
python -m venv .venv
source .venv/bin/activate  # Windows: .venv\Scripts\activate
```
Step 3 — Install and launch
Install the requirements, then follow the README's launch command (it varies per project).
```
pip install -r requirements.txt
```

// casos de uso

O que você pode criar

Transcribe meetings, interviews, and podcasts.
Narrate audiobooks and video voiceovers.
Build voice interfaces for apps and robots.
Generate royalty-free music and effects.

// perguntas frequentes

Perguntas frequentes

How accurate is open-source transcription?

Excellent — the leading open models match commercial services on clean audio, in many languages.

Can I clone a voice ethically?

The tech clones from short samples; only ever clone voices you own or have explicit permission to use.

Who maintains PaddleSpeech?

It is an open-source project at PaddlePaddle/PaddleSpeech with 1,955 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Do I need a GPU?

Transcription and TTS run on CPU acceptably; GPUs speed up batch jobs and music generation a lot.

Which languages are supported?

Coverage varies — transcription is broadest, TTS quality is best in major languages.

Can I use outputs commercially?

Os outros projetos de Áudio com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se PaddleSpeech não for o ideal para você.

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Robust Speech Recognition via Large-Scale Weak Supervision
GPT-SoVITS★ 62,3 mil
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Real-Time-Voice-Cloning★ 60,2 mil
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
whisper.cpp★ 54,1 mil
Port of OpenAI's Whisper model in C/C++

// mais em audio

Mais em Áudio

Projetos de Áudio próximos no catálogo, os mais próximos em estrelas de PaddleSpeech: continue explorando dos dois lados dele.

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Moshi★ 11,4 mil
Moshi — Kyutai full-duplex spoken dialogue model: talk and listen at the same time, ~200ms latency, Apache-2.0

Baixe o PaddleSpeech

Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.

Ver no GitHub ↗← Mais ferramentas de Áudio