PaddleSpeech
Baidu's all-in-one PaddlePaddle speech toolkit: streaming ASR with punctuation, TTS, translation and more.
About
PaddleSpeech is an easy-to-use speech toolkit built on Baidu's PaddlePaddle framework, covering streaming and offline ASR with punctuation restoration, streaming TTS, speaker verification, end-to-end speech translation and keyword spotting. It holds about 12,700 GitHub stars under Apache 2.0 and won the NAACL 2022 Best Demo Award. The CLI (paddlespeech asr --input xxx.wav) runs pretrained DeepSpeech2 and Conformer models trained on AISHELL, WenetSpeech and LibriSpeech, with a streaming ASR server for production deployment.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Paper and recipe-published results on AISHELL and LibriSpeech (e.g. Conformer CER/WER tables in the PaddleSpeech paper); community-run.
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: PaddlePaddle/PaddleSpeech repo verified with ~12.7k stars; NAACL 2022 Best Demo Award documented; paper (arXiv 2205.12007) publishes corpus results. Strengths: broad task coverage, strong Chinese-language models, streaming server story. Docked for: (1) PaddlePaddle ecosystem is less familiar outside China; (2) maintenance pace has slowed vs the PyTorch toolkits. License: Apache-2.0.
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 8.0/10
- Maintenance · recency, releases, issue load
- 6.0/10
- Openness · license + docs
- 9.0/10
- Manual review · sanity read + red-flag check
- 7.0/10
- · ~12,700 stars; NAACL 2022 Best Demo Award
- · Streaming ASR with punctuation; CLI + streaming server deployment
- · Pretrained DeepSpeech2/Conformer models on AISHELL, WenetSpeech, LibriSpeech
- · PaddlePaddle-based; strong Chinese-language coverage