Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node Topics android python raspberry-pi ios privacy deep-neural-networks deep-learning offline voice-recognit
PocketSphinx-Pythonwheel packagesfor 64-bit Python 2.7, 3.4, and 3.5 on Windows are included for convenience, under thethird-party/directory. To install, simply runpip install wheelfollowed bypip install ./third-party/WHEEL_FILENAME(replacepipwithpip3if using Python 3) in the SpeechRecognition f...
Speech recognition bindings implemented for various programming languages like Python, Java, Node.JS, C#, C++, Rust, Go and others. Vosk supplies speech recognition for chatbots, smart home appliances, virtual assistants. It can also create subtitles for movies, transcription for lectures and intervi...
没有帐号,去注册 编辑仓库简介 简介内容 Kaldi API for offline speech recognition on Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node 主页 取消 保存更改 1 https://gitee.com/quminzi/vosk-api.git git@gitee.com:quminzi/vosk-api.git quminzi vosk-api vosk-api master北...
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NARA-WPE is a Python software package providing implementations of the weighted prediction error (WPE) dereverberation algorithm. WPE has been shown to be a highly effective tool for speech dereverberation, thus improving the perceptual quality of the signal and improving the recognition performance of...
(all videos available until 1 October 2018) is available on request. Lastly, transcript quality may have varied based on whether they were generated through automatic speech recognition or manually reviewed and/or added to a video. YouTube notes that automatic captions may be inaccurate due to ...
Provides streaming API for the best user experience (unlike popular speech-recognition python packages) There are bindings for different programming languages, too - java/csharp/javascript etc. Allows quick reconfiguration of vocabulary for best accuracy. Supports speaker identification beside simple speech...
Accurate speech recognition for Android, iOS, Raspberry Pi and servers with Python, Java, C#, Swift and Node.
You have relatively simple requirements for a production application using the Speech service. Use the speech SDK when: You want to integrate Speech service functionality within a specific language or platform (for example, C#, Python, C++). You have complex requirements...