Implementation of Neural Networks in Theano for MNIST and AN4 dataset

NTSpeechRecognition is a iOS/macOS framework, written in Objective-c, providing speech recognition functionality. For decoding PocketSphinx is used. (Keyword spotting, JSGF Grammar, NGram)

Speech Recognition of Arabic Phonemes and Isolated Words.

Automatic Speech Recognition using Tensorflow

this repository concedes my project work done in my bachelors

A Simple Automatic Speech Recognition (ASR) Model in Tensorflow, which only needs to focus on Deep Neural Network. It's easy to test popular cells (most are LSTM and its variants) and models (unidirectioanl RNN, bidirectional RNN, ResNet and so on). Moreover, you are welcome to play with self-defined cells or models.

End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)

Python implementation of pre-processing for End-to-End speech recognition

UPC Deep Learning for Speech and Language 2018

Scripts/Tools used for working with automatic speech recognition.

A Python 2.7 implementation of Mel Frequency Cepstral Coefficients (MFCC) and Dynamic Time Warping (DTW) algorithms for Automated Speech Recognition (ASR).

Some approaches based on deep learning to build the acoustic model for an end-to-end automatic speech recognition (ASR) pipeline.

ASSR: Automatic Stuttered Speech Recognition

The homework of National Taiwan University (Digital Speech Processing Course).

Details on my work on using GANs for speech synthesis for improving Speech Recognition accuracy for ASR problem

AWS auto AMI backup across all region or cross region using lambda

Dialect Classification using techniques of Signal Processing and Machine Learning.

This is the repository for my version of Kaldi for Dummies example.

Improving Deep Neural Networks Based Speech Recognition System For Far-field Speech

Speech Recognition model based off of FAIR research paper built using Pytorch.