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vad's Projects

sr_dnn icon sr_dnn

Speech Recogntion using DNN-HMM frameowrk in Kaldi

stargan-voice-conversion icon stargan-voice-conversion

This is a pytorch implementation of the paper: StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks

tacotron icon tacotron

A TensorFlow Implementation of Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model

tacotron-1 icon tacotron-1

A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model

tacotron-2 icon tacotron-2

DeepMind's Tacotron-2 Tensorflow implementation

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

text_gcn icon text_gcn

Graph Convolutional Networks for Text Classification. AAAI 2019

tfdnn-kaldi icon tfdnn-kaldi

Practiced implementing a simple DNN (along with discriminative pretraining) for acoustic modelling for ASR and used kaldi for frontend and decode. Kaldi features, alignment, etc are used in python using Karel's (https://github.com/vesis84) library (https://github.com/vesis84/kaldi-io-for-python).

tfglib icon tfglib

Python libraries for the Voice Conversion TFG

tfkaldi icon tfkaldi

Speech recognition software where the neural net is trained with TensorFlow and GMM training and decoding is done in Kaldi

transformer-tts icon transformer-tts

A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"

transformer-tts-1 icon transformer-tts-1

A Tensorflow Implementation like "Neural Speech Synthesis with Transformer Network" Port From OpenSeq2Seq

transformers icon transformers

πŸ€— Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

transformertts icon transformertts

πŸ€–πŸ’¬ Implementation of a non-autoregressive Transformer based neural network for text to speech.

tts-tacotron-pytorch icon tts-tacotron-pytorch

Pytorch implementation of Tacotron, a speech synthesis end-to-end generative TTS model.

videotovoice icon videotovoice

takes in a sequence of lip images, and predicts the phonemes being said.

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