Yuan-Kuei Wu

According to our database, Yuan-Kuei Wu authored at least 12 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

DeSTA2.5-Audio: Toward General-Purpose Large Audio Language Model with Self-Generated Cross-Modal Alignment.

Ke-Han Lu, Zhehuai Chen, Szu-Wei Fu, Chao-Han Huck Yang, Sung-Feng Huang, Chih-Kai Yang, Chee-En Yu, Chun-Wei Chen, Wei-Chih Chen, Chien-yu Huang, Yi-Cheng Lin, Yu-Xiang Lin, Chi-An Fu, Chun-Yi Kuan, Wenze Ren, Xuanjun Chen, Wei-Ping Huang, En-Pei Hu, Tzu-Quan Lin, Yuan-Kuei Wu, Kuan-Po Huang, Hsiao-Ying Huang, Huang-Cheng Chou, Kai-Wei Chang, Cheng-Han Chiang, Boris Ginsburg, Yu-Chiang Frank Wang, Hung-yi Lee

CoRR, July, 2025

A Novel Deep Learning Framework for Efficient Multichannel Acoustic Feedback Control.

Yuan-Kuei Wu, Juan Azcarreta, Kashyap Patel, Buye Xu, Jung-Suk Lee, Sanha Lee, Ashutosh Pandey

CoRR, May, 2025

2024

SpeechPrompt: Prompting Speech Language Models for Speech Processing Tasks.

Kai-Wei Chang, Haibin Wu, Yu-Kai Wang, Yuan-Kuei Wu, Hua Shen, Wei-Cheng Tseng, Iu-thing Kang, Shang-wen Li, Hung-Yi Lee

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Codec-Superb @ SLT 2024: A Lightweight Benchmark For Neural Audio Codec Models.

Haibin Wu, Xuanjun Chen, Yi-Cheng Lin, Kaiwei Chang, Jiawei Du, Ke-Han Lu, Alexander H. Liu, Ho-Lam Chung, Yuan-Kuei Wu, Dongchao Yang, Songxiang Liu, Yi-Chiao Wu, Xu Tan, James R. Glass, Shinji Watanabe, Hung-Yi Lee

Proceedings of the IEEE Spoken Language Technology Workshop, 2024

Codec-SUPERB: An In-Depth Analysis of Sound Codec Models.

Haibin Wu, Ho-Lam Chung, Yi-Cheng Lin, Yuan-Kuei Wu, Xuanjun Chen, Yu-Chi Pai, Hsiu-Hsuan Wang, Kai-Wei Chang, Alexander H. Liu, Hung-yi Lee

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

SpeechGen: Unlocking the Generative Power of Speech Language Models with Prompts.

Haibin Wu, Kai-Wei Chang, Yuan-Kuei Wu, Hung-yi Lee

CoRR, 2023

2022

Improving the transferability of speech separation by meta-learning.

Kuan-Po Huang, Yuan-Kuei Wu, Hung-yi Lee

CoRR, 2022

On the Efficiency of Integrating Self-Supervised Learning and Meta-Learning for User-Defined Few-Shot Keyword Spotting.

Wei-Tsung Kao, Yuan-Kuei Wu, Chia-Ping Chen, Zhi-Sheng Chen, Yu-Pao Tsai, Hung-Yi Lee

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

2021

Multi-accent Speech Separation with One Shot Learning.

Kuan-Po Huang, Yuan-Kuei Wu, Hung-yi Lee

CoRR, 2021

One Shot Learning for Speech Separation.

Yuan-Kuei Wu, Kuan-Po Huang, Yu Tsao, Hung-yi Lee

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

SADDEL: Joint Speech Separation and Denoising Model based on Multitask Learning.

Yuan-Kuei Wu, Chao-I Tuan, Hung-yi Lee, Yu Tsao

CoRR, 2020

2019

MITAS: A Compressed Time-Domain Audio Separation Network with Parameter Sharing.

Chao-I Tuan, Yuan-Kuei Wu, Hung-yi Lee, Yu Tsao

CoRR, 2019