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.
A Python toolkit from Baidu that handles speech-to-text, text-to-speech, speaker identification, keyword detection, and speech translation, with strong support for English and Chinese dialects.
PaddleSpeech is an open-source toolkit from Baidu's PaddlePaddle team that bundles a wide range of audio and speech tasks into one Python library. It covers converting spoken audio into text (speech recognition), converting text into spoken audio (text-to-speech), identifying who is speaking (speaker verification), detecting specific keywords in audio streams, and translating spoken language from one language to another. The library supports both English and Chinese, including Mandarin, Cantonese, and several other Chinese dialects.
For non-developers, PaddleSpeech is most easily accessed through a command-line interface or a server mode, where you can send audio files or text and receive results without writing code. There is also a streaming mode suitable for real-time applications like live transcription or interactive voice systems. The project won a Best Demo Award at a major academic conference in 2022.
For developers, the library provides pre-trained models that can be used directly, as well as the underlying training code for those who want to build or fine-tune their own models. A Chinese text processing pipeline handles converting written Chinese numbers, dates, and abbreviations into a form suitable for speech synthesis, which is a detail that matters a lot for natural-sounding Chinese audio output.
Installation is through pip, the standard Python package manager, and the toolkit runs on Linux, Windows, and macOS with Python 3.8 or newer. The project is open-source under the Apache 2.0 license. The full README is longer than what was shown.
Where it fits
- Transcribe audio files or live microphone input into text in English or Mandarin Chinese.
- Convert written Chinese text, including numbers and dates, into natural-sounding speech audio.
- Identify which person is speaking in a recorded audio file using speaker verification.
- Build a real-time voice assistant that wakes on a specific keyword using the keyword detection feature.