2 citations · 2 across the 4 of their papers we have counts for
4 papers
Continuous Autoregressive Modeling with Stochastic Monotonic Alignment for Speech Synthesis
Weiwei Lin, Chenghan He
We propose a novel autoregressive modeling approach for speech synthesis, combining a variational autoencoder (VAE) with a multi-modal latent space and an autoregressive model that…
VoxGenesis: Unsupervised Discovery of Latent Speaker Manifold for Speech Synthesis
Weiwei Lin, Chenhang He, Man-Wai Mak +2
Achieving nuanced and accurate emulation of human voice has been a longstanding goal in artificial intelligence. Although significant progress has been made in recent years, the ma…
Asymmetric Clean Segments-Guided Self-Supervised Learning for Robust Speaker Verification
Chong-Xin Gan, Man-Wai Mak, Weiwei Lin +1
Contrastive self-supervised learning (CSL) for speaker verification (SV) has drawn increasing interest recently due to its ability to exploit unlabeled data. Performing data augmen…
Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations
Weiwei Lin, Chenhang He, Man-Wai Mak +1
Self-supervised learning (SSL) speech models such as wav2vec and HuBERT have demonstrated state-of-the-art performance on automatic speech recognition (ASR) and proved to be extrem…