erasedwalt/CTC-ASR
An implementation of Jasper, QuartzNet, Citrinet and pipeline for training CTC-based ASR models
This project helps machine learning engineers and researchers quickly build, train, and evaluate custom speech-to-text models. It takes audio data and model configurations as input and produces trained models capable of transcribing spoken language into text. This is ideal for those working on voice-enabled applications or speech analytics.
No commits in the last 6 months.
Use this if you are a machine learning engineer or researcher developing custom automatic speech recognition (ASR) systems.
Not ideal if you need an out-of-the-box speech-to-text service without custom model development.
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12
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Language
Python
License
MIT
Category
Last pushed
Nov 13, 2021
Commits (30d)
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