listen-attend-and-spell
There are 19 repositories under listen-attend-and-spell topic.
Z-yq/TensorflowASR
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
kaituoxu/Listen-Attend-Spell
A PyTorch implementation of Listen, Attend and Spell (LAS), an End-to-End ASR framework.
jackaduma/LAS_Mandarin_PyTorch
Listen, attend and spell Model and a Chinese Mandarin Pretrained model (中文-普通话 ASR模型)
WindQAQ/listen-attend-and-spell
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.
stevenhillis/awesome-asr-contextualization
A curated list of awesome papers on contextualizing E2E ASR outputs
30stomercury/Automatic-Speech-Recognition
End-to-End Speech Recognition Using Tensorflow
jiwidi/las-pytorch
Listen, Attend and spell model for E2E ASR. Implementation in Pytorch
sooftware/End-to-End-Speech-Recognition-Models
PyTorch implementation of automatic speech recognition models.
sciforce/phones-las
Articulatory features estimation using Listen Attend and Spell architecture.
ServerSideHannes/las
tf 2.0 implementation of Listen, attend and spell
msalhab96/Listen-Attend-and-Spell
PyTorch implementation of Listen, Attend and Spell (LAS) speech recognition paper
sevakon/shallow-rnns
This repository is a PyTorch implementation of NIPS 2019 Paper "Shallow RNNs: A Method for Accurate Time-series Classification on Tiny Devices"
cosmoquester/speech-recognition
Develop speech recognition models with Tensorflow 2
KrishnaDN/LAS-Pytorch
Implementation of the paper "Listen, Attend and Spell" Paper in Pytorch
jx1100370217/LAS_Tensorflow_jack
Tensorflow implement of LAS model
nicozorza/speech-to-text
Sistema conversor de habla a texto basado en redes neuronales
alifarrokh/asr-from-scratch
ASR models implemented from scratch in PyTorch
tetrapod0/LAS-OCR
OCR model made of using LAS's speller and image encoder.
titobabatunde/deep-learning-projects
A repo of all the fun deep learning projects I worked on for LTI-11685