A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.

PyTorch implementation of "Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss" (ICASSP 2020)

A curated list of awesome papers on contextualizing E2E ASR outputs

An efficient implementation of RNN-T Prefix Beam Search in C++/CUDA.

An implementation of RNN-Transducer loss in TF-2.0.

I'm building an end-to-end Vietnamese Speech Recognition System. I'll deploy it into production with the help of Flask, Uwsgi, Nginx, and AWS ...

Conformer RNN-Transducer

Pure PyTorch implementation of the loss described in "Online Segment to Segment Neural Transduction" https://arxiv.org/abs/1609.08194

Deep learning-based subtitle generation model that processes audio datasets to generate accurate text transcriptions. Includes audio feature extraction, encoder-decoder architecture, training pipelines, and evaluation metrics for subtitle alignment.