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Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"
Visualization for Sequential Neural Networks with Attention
Learning from multiple companies in Silicon Valley. Netflix, Facebook, Google, Startups
Feature extraction for accented-speech or pathological speech
Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP
Unpaired Voice Conversion using Adversarial Autoencoders
voice conversion with gaussian mixture model
Tensorflow implementation of VQVAE for voice conversion
PyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)
Deep Learning-based Voice Conversion system
Deep neural networks for voice conversion (voice style transfer) in Tensorflow
A repository for our CS224s final project: accent classification and voice conversion
Project to explore Speaker and Voice Identification. To follow will be further Speech Recognition tasks.
Deep neural net to identify speakers from a sample of their speech: LibriSpeech corpus.
Repository for lecture "Data-Driven Demand Learning and Dynamic Pricing Strategies in Competitive Markets"
Price Wars - A Simulation Platform for Dynamic Pricing Competition
This library provides common speech features for ASR including MFCCs and filterbank energies.
💬 SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/
🔈 Deep Learning & 3D Convolutional Neural Networks for Speaker Verification
⏰ AI conference deadline countdowns