Ross ROSS = Recommend OSS · open-source software intelligence for agents

PaddlePaddle/PaddleSpeech

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award. observed · 2026-08-28

github.com/PaddlePaddle/PaddleSpeech · homepage · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

66/100

  • Activity 97
  • Release rhythm 8
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3214
  • days_rel: 546
  • days_push: 22
  • n_releases_24m: 1

Full methodology

Adoption not part of the score

12670 stars · 1960 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

PaddleSpeech is an open-source speech and audio toolkit built on the PaddlePaddle deep learning platform, covering ASR with punctuation, streaming TTS with a text frontend, speaker verification, speech translation, keyword spotting, and self-supervised speech models. It offers Python APIs, CLI commands, and a serving server, and won the NAACL 2022 Best Demo Award.

Use cases

  • transcribe speech audio to text with punctuation
  • convert text to natural-sounding speech
  • build a streaming speech recognition service
  • verify speaker identity from voice samples
  • translate spoken audio across languages end to end
  • detect wake words with keyword spotting
  • clone a voice from sample audio

When to choose

  • you want a single toolkit covering ASR, TTS, speaker verification, and speech translation
  • you need streaming (real-time) ASR or TTS
  • you prefer PaddlePaddle as your deep learning backend
  • you want pretrained SOTA models with CLI and server deployment options

When to avoid

  • your stack is PyTorch-based and you want ecosystem compatibility (consider ESPnet or Torchaudio)
  • you need only lightweight inference without the PaddlePaddle dependency
  • you require extensive non-Chinese/English language coverage

Facets

library · maturity active

speech-recognition tts audio-processing machine-learning cli http-server speech-processing machine-learning deep-learning python windows cli asr tts speech-translation speaker-verification keyword-spotting streaming voice-cloning paddlepaddle vocoder self-supervised-learning natural-language-processing linux macos

3 sources

Member repositories

RepositoryRoleHealth v2
PaddlePaddle/PaddleSpeechmain66

For agents

markdown · JSON · MCP: product_card(name="PaddlePaddle/PaddleSpeech")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem