DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

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。

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。

speech to text benchmark framework

A CLI script to generate subtitle files (SRT/VTT/TXT) for any video using either DeepSpeech or Coqui

A Keras CTC implementation of Baidu's DeepSpeech for model experimentation

DeepSpeech based forced alignment tool

🎧 Automatic Speech Recognition: DeepSpeech & Seq2Seq (TensorFlow)

A testing server for a speech to text service based on coqui.ai

Golang bindings for Mozilla's DeepSpeech speech-to-text library

ASR with PyTorch

Server & client for DeepSpeech using WebSockets for real-time speech recognition in separate environments

Android Speech Recognition Service using Vosk/Kaldi and Mozilla DeepSpeech

Tooling for producing Italian model (public release available) for DeepSpeech and text corpus

Traditional ASR (Signal & Cepstral Analysis, DTW, HMM) & DNNs (Custom Models + DeepSpeech) on Indian Accent Speech

Install Mozilla DeepSpeech on a Raspberry Pi 4

An editor for speech-to-text transcripts such as AWS Transcribe and Mozilla DeepSpeech

A MXNet implementation of Baidu's DeepSpeech architecture