This is your work, valued
Postdoc at Concordia University and Mila Quebec AI Institute. Interested in speech and audio technology.
knn-vc. Voice Conversion With Just Nearest Neighbors
520soft-vc. Soft speech units for voice conversion
455hubert. HuBERT content encoders for: A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion
405ZeroSpeech. VQ-VAE for Acoustic Unit Discovery and Voice Conversion
339UniversalVocoding. A PyTorch implementation of "Robust Universal Neural Vocoding"
238VectorQuantizedCPC. Vector-Quantized Contrastive Predictive Coding for Acoustic Unit Discovery and Voice Conversion
142Tacotron. A PyTorch implementation of Location-Relative Attention Mechanisms For Robust Long-Form Speech Synthesis
115hifigan. An 16kHz implementation of HiFi-GAN for soft-vc.
106acoustic-model. Acoustic models for: A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion
104urhythmic. Unsupervised Rhythm Modeling for Voice Conversion
85VectorQuantizedVAE. A PyTorch implementation of "Continuous Relaxation Training of Discrete Latent Variable Image Models"
75dusted. DUSTED: Spoken-Term Discovery using Discrete Speech Units
17cpc. CPC-big and k-means clustering for zero-resource speech processing
7ZeroSpeechQbE. Python
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