49 citations · 82 across the 22 of their papers we have counts for
5 papers · 1 filter
Towards Robust FastSpeech 2 by Modelling Residual Multimodality
Fabian Kögel, Bac Nguyen, Fabien Cardinaux
State-of-the-art non-autoregressive text-to-speech (TTS) models based on FastSpeech 2 can efficiently synthesise high-fidelity and natural speech. For expressive speech datasets ho…
Improving Self-Supervised Learning for Audio Representations by Feature Diversity and Decorrelation
Bac Nguyen, Stefan Uhlich, Fabien Cardinaux
Self-supervised learning (SSL) has recently shown remarkable results in closing the gap between supervised and unsupervised learning. The idea is to learn robust features that are…
AutoTTS: End-to-End Text-to-Speech Synthesis through Differentiable Duration Modeling
Bac Nguyen, Fabien Cardinaux, Stefan Uhlich
Parallel text-to-speech (TTS) models have recently enabled fast and highly-natural speech synthesis. However, they typically require external alignment models, which are not necess…
NVC-Net: End-to-End Adversarial Voice Conversion
Bac Nguyen, Fabien Cardinaux
Voice conversion has gained increasing popularity in many applications of speech synthesis. The idea is to change the voice identity from one speaker into another while keeping the…
Improving DNN-based Music Source Separation using Phase Features
Joachim Muth, Stefan Uhlich, Nathanael Perraudin +3
Music source separation with deep neural networks typically relies only on amplitude features. In this paper we show that additional phase features can improve the separation perfo…