Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Vosk Api | 6,633 | 40 | 8 months ago | 37 | December 14, 2022 | 426 | apache-2.0 | Jupyter Notebook | ||
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node | ||||||||||
Libfaceid | 290 | 5 years ago | 8 | mit | Python | |||||
libfaceid is a research framework for prototyping of face recognition solutions. It seamlessly integrates multiple detection, recognition and liveness models w/ speech synthesis and speech recognition. | ||||||||||
Naomi | 213 | a year ago | 53 | mit | Python | |||||
The Naomi Project is an open source, technology agnostic platform for developing always-on, voice-controlled applications! | ||||||||||
Sepia Docs | 193 | 2 years ago | 76 | |||||||
Documentation and Wiki for SEPIA. Please post your questions and bug-reports here in the issues section! Thank you :-) | ||||||||||
Spchcat | 166 | 3 years ago | 5 | mpl-2.0 | C | |||||
Speech recognition tool to convert audio to text transcripts, for Linux and Raspberry Pi. | ||||||||||
Spokestack Python | 124 | 3 years ago | 17 | June 23, 2021 | apache-2.0 | Python | ||||
Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application with a focus on embedded systems. | ||||||||||
Cep | 120 | 2 years ago | 3 | mit | JavaScript | |||||
CEP is a software platform designed for users that want to learn or rapidly prototype using standard A.I. components. | ||||||||||
Sepia Stt Server | 105 | a year ago | 5 | mit | Python | |||||
SEPIA server to support open-source speech recognition via WebSocket connection. | ||||||||||
Laibot Client | 92 | 2 years ago | mit | Python | ||||||
开源人工智能,基于开源软硬件构建语音对话机器人、智能音箱……人机对话、自然交互,来宝拥有无限可能。特别说明,来宝运行于Python 3! | ||||||||||
Tf Speech Recognition Challenge Solution | 53 | 7 years ago | 5 | gpl-3.0 | Jupyter Notebook | |||||
Source code of the model used in Tensorflow Speech Recognition Challenge (https://www.kaggle.com/c/tensorflow-speech-recognition-challenge). The solution ranked in top 5% in private leaderboard. |