一个执着于让CPU\端侧-Model逼近GPU-Model性能的项目，CPU上的实时率(RTF)小于0.1
A PyTorch implementation of Listen, Attend and Spell (LAS), an End-to-End ASR framework.
Listen, attend and spell Model and a Chinese Mandarin Pretrained model (中文-普通话 ASR模型)
Tensorflow implementation of "Listen, Attend and Spell" authored by William Chan. This project utilizes input pipeline and estimator API of Tensorflow, which makes the training and evaluation truly end-to-end.
A curated list of awesome papers on contextualizing E2E ASR outputs
End-to-End Speech Recognition Using Tensorflow
Listen, Attend and spell model for E2E ASR. Implementation in Pytorch
PyTorch implementation of automatic speech recognition models.
Articulatory features estimation using Listen Attend and Spell architecture.
tf 2.0 implementation of Listen, attend and spell
PyTorch implementation of Listen, Attend and Spell (LAS) speech recognition paper
This repository is a PyTorch implementation of NIPS 2019 Paper "Shallow RNNs: A Method for Accurate Time-series Classification on Tiny Devices"
Implementation of the paper "Listen, Attend and Spell" Paper in Pytorch
Develop speech recognition models with Tensorflow 2
Sistema conversor de habla a texto basado en redes neuronales
ASR models implemented from scratch in PyTorch
A repo of all the fun deep learning projects I worked on for LTI-11685
OCR model made of using LAS's speller and image encoder.
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