End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)
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Updated
Jan 23, 2018 - Python
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
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
Build speech enhancement dataset.
Keyword spotting using RNNs + Edit distance
End-to-end ASR system on TIMIT
Sum-Product Networks (SPNs) for Robust Automatic Speaker Identification.
The DARPA TIMIT Acoustic-Phonetic Continuous Speech Corpus.
Speaker verification using Gaussian Mixture Model (GMM)
Extract mfcc vectors and phones from TIMIT dataset
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
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.
Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)
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