deepspeech2
There are 19 repositories under deepspeech2 topic.
TensorSpeech/TensorFlowASR
:zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords
yeyupiaoling/PPASR
基于PaddlePaddle实现端到端中文语音识别，从入门到实战，超简单的入门案例，超实用的企业项目。支持当前最流行的DeepSpeech2、Conformer、Squeezeformer模型
yeyupiaoling/PaddlePaddle-DeepSpeech
基于PaddlePaddle实现的语音识别，中文语音识别。项目完善，识别效果好。支持Windows，Linux下训练和预测，支持Nvidia Jetson开发板预测。
MyrtleSoftware/deepspeech
A PyTorch implementation of DeepSpeech and DeepSpeech2.
yao-matrix/deepSpeech2
End-to-end speech recognition using TensorFlow
archiki/Robust-E2E-ASR
This repository contains the code for our upcoming paper An Investigation of End-to-End Models for Robust Speech Recognition at ICASSP 2021.
sooftware/End-to-End-Speech-Recognition-Models
PyTorch implementation of automatic speech recognition models.
scionoftech/DeepAsr
Keras(Tensorflow) implementations of Automatic Speech Recognition
noahchalifour/baidu-deepspeech2
A Tensorflow implementation of Baidu's Deep Speech 2 paper
upskyy/Automatic-Speech-Recognition-Models
End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.
SpringerNLP/Chapter12
Chapter 12: End-to-end Speech Recognition
Harshit-1104/Drowsy-Accident-Preventer
While drunk or drowsy people can’t react to stimuli efficiently in the environment, thus we intend to check for a verbal response from the driver upon detecting anomalous driving patterns. IMU tracker upon detecting frequent changes in acceleration and sharp turns triggers the voice assistant, checking up on the driver’s state and takes further action to ensure his/her safety.
oddlyspaced/deepspeech-android
Android App made to test DeepSpeech2 TFLite models.
chnk58hoang/Smart-Room-Simulator
This repository is a customized version of DeepSpeech2 models for speech commands recognition implemented with PyTorch Lightning
2022-Capstone-Design-1/backend
flask 기반의 backend
mdhasanai/Bangla_E2E_ASR
Bangla Automatic Speech Recognition
swaraj-jain/Honda-Hackathon
While drunk or drowsy people can’t react to stimuli efficiently in the environment, thus we intend to check for a verbal response from the driver upon detecting anomalous driving patterns. IMU tracker upon detecting frequent changes in acceleration and sharp turns triggers the voice assistant, checking up on the driver’s state and takes further action to ensure his/her safety.