deepspeech2

⚡ TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords

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。

A PyTorch implementation of DeepSpeech and DeepSpeech2.

End-to-end speech recognition using TensorFlow

PyTorch implementation of automatic speech recognition models.

This repository contains the code for our upcoming paper An Investigation of End-to-End Models for Robust Speech Recognition at ICASSP 2021.

Keras(Tensorflow) implementations of Automatic Speech Recognition

A Tensorflow implementation of Baidu's Deep Speech 2 paper

End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.

Chapter 12: End-to-end Speech Recognition

Android App made to test DeepSpeech2 TFLite models.

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.

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.

flask 기반의 backend