image_feature_extraction
pykaldi
| image_feature_extraction | pykaldi | |
|---|---|---|
| 1 | 2 | |
| 0 | 978 | |
| - | 0.4% | |
| 0.0 | 5.4 | |
| almost 3 years ago | 5 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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image_feature_extraction
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Class or Functions?
It’s a little of both. You can check out https://github.com/giakou4/image_feature_extraction Each way I approach the issue, both ways seem correct to me. Classes seem a good way to organise but functions are easy for debugging.
pykaldi
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Speech recognition using Python
It's possible, but it's going to be tough. Your best bet at the moment would probably be looking at things like PyKaldi (a Python wrapper for Kaldi) and speech recognition tutorials for TensorFlow. You can get into WebRTC a little later--if I understand what your project is about, it'll mainly be for embedding the speech recognition stuff into the larger app you mention.
- Speech recognition project using Python
What are some alternatives?
fishington.io-bot - Fishington.io bot with OpenCV and NumPy
speechpy - :speech_balloon: SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/
eulerian-remote-heartrate-detection - Remote heart rate detection through Eulerian magnification of face videos
lingvo - Lingvo
GPT4RoI - GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest
ovos-stt-plugin-vosk - vosk STT plugin for mycroft
Fast-Poisson-Image-Editing - A fast poisson image editing implementation that can utilize multi-core CPU or GPU to handle a high-resolution image input.
zeroth - Kaldi-based Korean ASR (한국어 음성인식) open-source project
towhee - Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
lhotse - Tools for handling speech data in machine learning projects.
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
vosk-server - WebSocket, gRPC and WebRTC speech recognition server based on Vosk and Kaldi libraries