cosmoquester/speech-recognition
Develop speech recognition models with Tensorflow 2
This project helps machine learning engineers build and evaluate custom speech recognition systems. You provide audio files paired with their corresponding text transcripts as input. The system then processes this data to train a model that can convert spoken language into written text, outputting performance metrics like Word Error Rate and Character Error Rate to show how well it works.
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Use this if you are a machine learning engineer looking to develop and benchmark your own speech-to-text models using custom datasets.
Not ideal if you're a non-technical user who just needs to transcribe audio without building or training a model.
Stars
8
Forks
4
Language
Python
License
MIT
Category
Last pushed
Nov 16, 2022
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/cosmoquester/speech-recognition"
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