HawkAaron/RNN-Transducer

MXNet implementation of RNN Transducer (Graves 2012): Sequence Transduction with Recurrent Neural Networks

38
/ 100
Emerging

This project helps developers build end-to-end speech recognition systems. It takes raw audio features and processes them to output transcribed text. It's designed for machine learning engineers and researchers working on automatic speech recognition tasks.

139 stars. No commits in the last 6 months.

Use this if you are a machine learning engineer building a custom speech-to-text system and need an implementation of the RNN-Transducer model.

Not ideal if you are an end-user looking for a ready-to-use speech recognition application or a pre-trained model for immediate transcription.

speech-recognition automatic-transcription audio-processing natural-language-processing machine-learning-engineering
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 20 / 25

How are scores calculated?

Stars

139

Forks

31

Language

Python

License

Last pushed

Jun 07, 2021

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/HawkAaron/RNN-Transducer"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.