Examples of how to use or integrate DeepSpeech
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Updated
Jul 25, 2023 - Python
Examples of how to use or integrate DeepSpeech
基于PaddlePaddle实现的语音识别,中文语音识别。项目完善,识别效果好。支持Windows,Linux下训练和预测,支持Nvidia Jetson开发板预测。
A CLI script to generate subtitle files (SRT/VTT/TXT) for any video using either DeepSpeech or Coqui
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。
A Keras CTC implementation of Baidu's DeepSpeech for model experimentation
A testing server for a speech to text service based on coqui.ai
speech to text benchmark framework
🎧 Automatic Speech Recognition: DeepSpeech & Seq2Seq (TensorFlow)
A MXNet implementation of Baidu's DeepSpeech architecture
Server & client for DeepSpeech using WebSockets for real-time speech recognition in separate environments
Tooling for producing Italian model (public release available) for DeepSpeech and text corpus
ASR with PyTorch
A PyTorch implementation of DeepSpeech and DeepSpeech2.
Python project for Speech-to-Text and Sentiment Analysis. Supports English and German language!
Romanian Automatic Speech Recognition from the ROBIN project
Multi-Language Dataset Cleaner/Creator for Mozilla's DeepSpeech Framework
end-to-end voicebot that answers open domain questions.
Asynchronous RESTful API to consume Mozilla DeepSpeech
Various applications using tensorflow.
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