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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. DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow to make the implementation easier. A pre-trained English model is available for use and can be downloaded following the instructions in the usage docs. If you want to use the pre-trained English model for performing speech-to-text, you can download it (along with other important inference material) from the DeepSpeech releases page.
Features
- Uses a model trained by machine learning techniques
- Based on Baidu's Deep Speech research paper
- Uses Google's TensorFlow to make the implementation easier
- A pre-trained English model is available for use
- Download important inference material from the DeepSpeech releases page
- Run in real time on all devices
Project Samples
