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.
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.
Listen, attend and spell Model and a Chinese Mandarin Pretrained model (中文-普通话 ASR模型)
End-to-End Speech Recognition Using Tensorflow
tf 2.0 implementation of Listen, attend and spell
Articulatory features estimation using Listen Attend and Spell architecture.
Listen, Attend and spell model for E2E ASR. Implementation in Pytorch
PyTorch implementation of automatic speech recognition models.
Develop speech recognition models with Tensorflow 2
Implementation of the paper "Listen, Attend and Spell" Paper in Pytorch
This repository is a PyTorch implementation of NIPS 2019 Paper "Shallow RNNs: A Method for Accurate Time-series Classification on Tiny Devices"
PyTorch implementation of Listen, Attend and Spell (LAS) speech recognition paper
A repo of all the fun deep learning projects I worked on for LTI-11685
Sistema conversor de habla a texto basado en redes neuronales
ASR models implemented from scratch in PyTorch
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