01-vyom/End_2_End_Automatic_Speech_Recognition_For_Gujarati

[ICON 2020] TensorFlow Code for "End-to-End Automatic Speech Recognition System for Gujarati"

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This project offers an improved way to convert spoken Gujarati language into written text. You provide an audio recording in Gujarati, and it generates a written transcript. It's designed for natural language processing researchers or speech technology developers working on Gujarati or other low-resource languages.

No commits in the last 6 months.

Use this if you need to accurately transcribe spoken Gujarati audio into text and are comfortable with deep learning frameworks.

Not ideal if you need a ready-to-use application for transcribing Gujarati without any technical setup or if you're working with a language other than Gujarati.

Gujarati language processing speech-to-text natural language processing low-resource languages computational linguistics
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 16 / 25

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Language

Python

License

MIT

Last pushed

Jul 26, 2021

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