research
∙
09/16/2023
Enhancing GAN-Based Vocoders with Contrastive Learning Under Data-limited Condition
Vocoder models have recently achieved substantial progress in generating...
share
research
∙
02/10/2023
AV-data2vec: Self-supervised Learning of Audio-Visual Speech Representations with Contextualized Target Representations
Self-supervision has shown great potential for audio-visual speech recog...
research
∙
10/29/2022
Articulatory Representation Learning Via Joint Factor Analysis and Neural Matrix Factorization
Articulatory representation learning is the fundamental research in mode...
research
∙
06/06/2022
UTTS: Unsupervised TTS with Conditional Disentangled Sequential Variational Auto-encoder
In this paper, we propose a novel unsupervised text-to-speech (UTTS) fra...
research
∙
05/11/2022
Towards Improved Zero-shot Voice Conversion with Conditional DSVAE
Disentangling content and speaking style information is essential for ze...
research
∙
04/01/2022
Deep Neural Convolutive Matrix Factorization for Articulatory Representation Decomposition
Most of the research on data-driven speech representation learning has f...
research
∙
03/30/2022
Robust Disentangled Variational Speech Representation Learning for Zero-shot Voice Conversion
Traditional studies on voice conversion (VC) have made progress with par...
research
∙
11/09/2020