georgesterpu/Taris

Transformer-based online speech recognition system with TensorFlow 2

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Emerging

This project offers an advanced way to convert spoken words into text in real-time. It takes live audio (and optionally video of a speaker's face) as input and immediately produces a written transcript of what's being said. It's designed for researchers and developers working on cutting-edge speech recognition systems.

No commits in the last 6 months.

Use this if you are a researcher or advanced developer experimenting with real-time, online speech recognition and want to explore transformer-based architectures, potentially incorporating visual cues.

Not ideal if you need a production-ready, off-the-shelf speech-to-text service or a simple library for basic audio transcription without deep architectural experimentation.

speech-to-text real-time-transcription audio-visual-speech-recognition natural-language-processing deep-learning-research
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 16 / 25

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Stars

26

Forks

6

Language

Python

License

MPL-2.0

Last pushed

Jan 22, 2021

Commits (30d)

0

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