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.
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Updated
Jun 19, 2025 - C++
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
Ji Yu PaddlePaddleShi Xian De Yu Yin Shi Bie ,Zhong Wen Yu Yin Shi Bie . Xiang Mu Wan Shan ,Shi Bie Xiao Guo Hao . Zhi Chi Windows,LinuxXia Xun Lian He Yu Ce ,Zhi Chi Nvidia JetsonKai Fa Ban Yu Ce .
PytorchShi Xian De Liu Shi Yu Fei Liu Shi De Zi Dong Yu Yin Shi Bie Kuang Jia ,Tong Shi Jian Rong Zai Xian He Chi Xian Shi Bie ,Mu Qian Zhi Chi Conformer, Squeezeformer, DeepSpeech2Mo Xing ,Zhi Chi Duo Chong Shu Ju Zeng Qiang Fang Fa .
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
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
Automatic Speech Recognition in Unity using Vosk library
Android Speech Recognition Service using Vosk/Kaldi and Mozilla DeepSpeech
Install Mozilla DeepSpeech on a Raspberry Pi 4
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
Traditional ASR (Signal & Cepstral Analysis, DTW, HMM) & DNNs (Custom Models + DeepSpeech) on Indian Accent Speech
An editor for speech-to-text transcripts such as AWS Transcribe and Mozilla DeepSpeech
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