Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

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

The DARPA TIMIT Acoustic-Phonetic Continuous Speech Corpus.

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

Build speech enhancement dataset.

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Extract mfcc vectors and phones from TIMIT dataset

Sum-Product Networks (SPNs) for Robust Automatic Speaker Identification.

Keyword spotting using RNNs + Edit distance

End-to-end ASR system on TIMIT

Speaker verification using Gaussian Mixture Model (GMM)

A simple CRDNN based ASR model for my own understanding of how ASR works and are trained. (Work in progress) If anyone finds any error or have any suggestion please do let me know.

Main objective of this model is to develop Automatic Speech Recognition using Deep Neural Network.

The initial CNN experiments of my bachelor thesis

My bachelor thesis on Phoneme recognition and alignment on the TIMIT dataset