PaddleSpeech
Easy-to-use speech toolkit for ASR, TTS, speaker verification, and translation.
An open-source toolkit for speech recognition, synthesis, translation, and audio analysis.
PaddleSpeech is an open-source speech toolkit built on the PaddlePaddle platform that covers automatic speech recognition, text-to-speech, speaker verification, and keyword spotting. It suits developers and researchers needing production-ready streaming audio pipelines and deep learning models.
What it is
It provides implementations for audio tasks including streaming ASR with punctuation restoration, text-to-speech with a rule-based Chinese frontend, speech translation, and self-supervised learning models like Whisper and WavLM. You can use it via CLI, server deployments, or Python code.
Who it's for
It suits audio engineers, AI researchers, and developers building speech applications or conducting speech processing research. It does not suit non-technical users looking for a simple, ready-to-use desktop application without command-line interaction.
Key features
Streaming ASR and TTS
Provides production-ready streaming automatic speech recognition and text-to-speech systems.
Rule-based Chinese Frontend
Includes text normalization and Grapheme-to-Phoneme conversion handling polyphones and tone sandhi.
Multiple Audio Tasks
Supports speech recognition, text-to-speech, speaker verification, keyword spotting, and audio classification.
Diverse Model Integration
Implements mainstream models like Whisper, WavLM, HuBERT, and Squeezeformer alongside custom pipelines.
Up and running in 3 steps
Our honest verdict
What's great
- Includes streaming server and CLI support for quick deployment
- Offers rule-based Chinese text frontend with G2P and tone sandhi
- Supports modern architectures like Whisper, WavLM, and Squeezeformer
- Features end-to-end speech translation and singing voice synthesis
Where it falls short
- Requires familiarity with the PaddlePaddle deep learning framework
- Running real-time streaming servers demands active configuration and resources
Pricing & license
The software is free under its open-source license, and the only cost is running the models on your own hardware.
Open remote AI-training roles
870 open remote AI-training roles, updated November 14, 2026; most pay $20–$170 an hour. Zekai lists them free; the application goes to the employer’s platform.
Alternatives
Use it, or have us set it up
FAQ
What frameworks does PaddleSpeech rely on?
It is built on top of the PaddlePaddle deep learning platform.
Does it support streaming recognition?
Yes, it provides production-ready streaming ASR and TTS systems alongside CLI tools.
