activity
20162023
most citedNeural Network Based Next-Song Recommendation

5 citations · 6 across the 8 of their papers we have counts for

collaborators

8 papers

cs.SD2023

Mandarin Electrolaryngeal Speech Voice Conversion using Cross-domain Features

Hsin-Hao Chen, Yung-Lun Chien, Ming-Chi Yen +4

Patients who have had their entire larynx removed, including the vocal folds, owing to throat cancer may experience difficulties in speaking. In such cases, electrolarynx devices a…

cs.SD2023

Audio-Visual Mandarin Electrolaryngeal Speech Voice Conversion

Yung-Lun Chien, Hsin-Hao Chen, Ming-Chi Yen +4

Electrolarynx is a commonly used assistive device to help patients with removed vocal cords regain their ability to speak. Although the electrolarynx can generate excitation signal…

eess.AS2021★ 1 cited

Speech Enhancement-assisted Voice Conversion in Noisy Environments

Yun-Ju Chan, Chiang-Jen Peng, Syu-Siang Wang +3

Numerous voice conversion (VC) techniques have been proposed for the conversion of voices among different speakers. Although good quality of the converted speech can be observed wh…

eess.AS2021

Attention-based multi-task learning for speech-enhancement and speaker-identification in multi-speaker dialogue scenario

Chiang-Jen Peng, Yun-Ju Chan, Cheng Yu +3

Multi-task learning (MTL) and attention mechanism have been proven to effectively extract robust acoustic features for various speech-related tasks in noisy environments. In this s…

cs.SD2019

MoEVC: A Mixture-of-experts Voice Conversion System with Sparse Gating Mechanism for Accelerating Online Computation

Yu-Tao Chang, Yuan-Hong Yang, Yu-Huai Peng +4

With the recent advancements of deep learning technologies, the performance of voice conversion (VC) in terms of quality and similarity has been significantly improved. However, he…

eess.AS2018

Reinforcement Learning Based Speech Enhancement for Robust Speech Recognition

Yih-Liang Shen, Chao-Yuan Huang, Syu-Siang Wang +3

Conventional deep neural network (DNN)-based speech enhancement (SE) approaches aim to minimize the mean square error (MSE) between enhanced speech and clean reference. The MSE-opt…

eess.AS2017

Singing voice correction using canonical time warping

Yin-Jyun Luo, Ming-Tso Chen, Tai-Shih Chi +1

Expressive singing voice correction is an appealing but challenging problem. A robust time-warping algorithm which synchronizes two singing recordings can provide a promising solut…

cs.IR2016★ 5 cited

Neural Network Based Next-Song Recommendation

Kai-Chun Hsu, Szu-Yu Chou, Yi-Hsuan Yang +1

Recently, the next-item/basket recommendation system, which considers the sequential relation between bought items, has drawn attention of researchers. The utilization of sequentia…