yeyupiaoling/MASR
Pytorch实现的流式与非流式的自动语音识别框架,同时兼容在线和离线识别,目前支持Conformer、Squeezeformer、DeepSpeech2模型,支持多种数据增强方法。
PyTorch implementation of "Squeezeformer: An Efficient Transformer for Automatic Speech Recognition" (NeurIPS 2022)
$ git clone https://github.com/upskyy/Squeezeformer.gitPytorch实现的流式与非流式的自动语音识别框架,同时兼容在线和离线识别,目前支持Conformer、Squeezeformer、DeepSpeech2模型,支持多种数据增强方法。
Production First and Production Ready End-to-End Speech Recognition Toolkit
▲ +1 ★ this week
Fine-tune the Whisper speech recognition model to support training without timestamp data, training with timestamp data, and training without speech data. Accelerate inference and support Web deployment, Windows desktop deployment, and Android deployment
[Unofficial] PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)
▲ +4 ★ this week
Speech-to-text server framework with next-gen Kaldi
▲ +1 ★ this week
Espresso: A Fast End-to-End Neural Speech Recognition Toolkit
Data from GitHub · snapshot Nov 13, 2026