8 citations · 11 across the 8 of their papers we have counts for
8 papers
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…
Speaker Representation Learning via Contrastive Loss with Maximal Speaker Separability
Zhe Li, Man-Wai Mak
A great challenge in speaker representation learning using deep models is to design learning objectives that can enhance the discrimination of unseen speakers under unseen domains.…
Discriminative Speaker Representation via Contrastive Learning with Class-Aware Attention in Angular Space
Zhe Li, Man-Wai Mak, Helen Mei-Ling Meng
The challenges in applying contrastive learning to speaker verification (SV) are that the softmax-based contrastive loss lacks discriminative power and that the hard negative pairs…
Protecting Genomic Privacy by a Sequence-Similarity Based Obfuscation Method
Shibiao Wan, Man-Wai Mak, Sun-Yuan Kung
In the post-genomic era, large-scale personal DNA sequences are produced and collected for genetic medical diagnoses and new drug discovery, which, however, simultaneously poses se…