jindongwang/EasyEspnet

Making Espnet easier to use

33
/ 100
Emerging

This project simplifies building and deploying automatic speech recognition (ASR) systems. It takes your speech audio data, processes it, and outputs trained ASR models and their performance metrics like Word Error Rate (WER) or Character Error Rate (CER). It's designed for machine learning engineers and researchers who work with speech technology and want a more straightforward way to manage their ASR experiments.

No commits in the last 6 months.

Use this if you need to train, evaluate, and deploy ASR models and find the standard ESPNet workflow too complex or difficult to integrate into Python-based pipelines.

Not ideal if you're not working with speech processing or if you prefer to use only shell scripts for your deep learning workflows.

speech-recognition ASR machine-learning-engineering natural-language-processing deep-learning-deployment
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 9 / 25

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Stars

54

Forks

4

Language

Python

License

Apache-2.0

Last pushed

Apr 09, 2021

Commits (30d)

0

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