8 citations · 11 across the 8 of their papers we have counts for
5 papers · 1 filter
Contrastive Speaker Embedding With Sequential Disentanglement
Youzhi Tu, Man-Wai Mak, Jen-Tzung Chien
Contrastive speaker embedding assumes that the contrast between the positive and negative pairs of speech segments is attributed to speaker identity only. However, this assumption…
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…
Progression-Guided Temporal Action Detection in Videos
Chongkai Lu, Man-Wai Mak, Ruimin Li +2
We present a novel framework, Action Progression Network (APN), for temporal action detection (TAD) in videos. The framework locates actions in videos by detecting the action evolu…
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…
Cluster-Guided Unsupervised Domain Adaptation for Deep Speaker Embedding
Haiquan Mao, Feng Hong, Man-wai Mak
Recent studies have shown that pseudo labels can contribute to unsupervised domain adaptation (UDA) for speaker verification. Inspired by the self-training strategies that use an e…