53 citations · 72 across the 11 of their papers we have counts for
5 papers · 1 filter
Leveraging Sequence Embedding and Convolutional Neural Network for Protein Function Prediction
Wei-Cheng Tseng, Po-Han Chi, Jia-Hua Wu +1
The capability of accurate prediction of protein functions and properties is essential in the biotechnology industry, e.g. drug development and artificial protein synthesis, etc. T…
Membership Inference Attacks Against Self-supervised Speech Models
Wei-Cheng Tseng, Wei-Tsung Kao, Hung-yi Lee
Recently, adapting the idea of self-supervised learning (SSL) on continuous speech has started gaining attention. SSL models pre-trained on a huge amount of unlabeled audio can gen…
SUPERB: Speech processing Universal PERformance Benchmark
Shu-wen Yang, Po-Han Chi, Yung-Sung Chuang +17
Self-supervised learning (SSL) has proven vital for advancing research in natural language processing (NLP) and computer vision (CV). The paradigm pretrains a shared model on large…
Utilizing Self-supervised Representations for MOS Prediction
Wei-Cheng Tseng, Chien-yu Huang, Wei-Tsung Kao +2
Speech quality assessment has been a critical issue in speech processing for decades. Existing automatic evaluations usually require clean references or parallel ground truth data,…
Toward Robust Long Range Policy Transfer
Wei-Cheng Tseng, Jin-Siang Lin, Yao-Min Feng +1
Humans can master a new task within a few trials by drawing upon skills acquired through prior experience. To mimic this capability, hierarchical models combining primitive policie…