53 citations · 72 across the 11 of their papers we have counts for
12 papers
VMCML: Video and Music Matching via Cross-Modality Lifting
Yi-Shan Lee, Wei-Cheng Tseng, Fu-En Wang +1
We propose a content-based system for matching video and background music. The system aims to address the challenges in music recommendation for new users or new music give short-f…
SpeechPrompt v2: Prompt Tuning for Speech Classification Tasks
Kai-Wei Chang, Yu-Kai Wang, Hua Shen +4
Prompt tuning is a technology that tunes a small set of parameters to steer a pre-trained language model (LM) to directly generate the output for downstream tasks. Recently, prompt…
Ensemble knowledge distillation of self-supervised speech models
Kuan-Po Huang, Tzu-hsun Feng, Yu-Kuan Fu +5
Distilled self-supervised models have shown competitive performance and efficiency in recent years. However, there is a lack of experience in jointly distilling multiple self-super…
DDOS: A MOS Prediction Framework utilizing Domain Adaptive Pre-training and Distribution of Opinion Scores
Wei-Cheng Tseng, Wei-Tsung Kao, Hung-yi Lee
Mean opinion score (MOS) is a typical subjective evaluation metric for speech synthesis systems. Since collecting MOS is time-consuming, it would be desirable if there are accurate…
CLA-NeRF: Category-Level Articulated Neural Radiance Field
Wei-Cheng Tseng, Hung-Ju Liao, Lin Yen-Chen +1
We propose CLA-NeRF -- a Category-Level Articulated Neural Radiance Field that can perform view synthesis, part segmentation, and articulated pose estimation. CLA-NeRF is trained a…
SpeechPrompt: An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks
Kai-Wei Chang, Wei-Cheng Tseng, Shang-Wen Li +1
Speech representations learned from Self-supervised learning (SSL) models can benefit various speech processing tasks. However, utilizing SSL representations usually requires fine-…
Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module
Wei-Cheng Tseng, Wei Wei, Da-Cheng Juan +1
Designing an effective communication mechanism among agents in reinforcement learning has been a challenging task, especially for real-world applications. The number of agents can…
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…