5 citations · 9 across the 7 of their papers we have counts for
8 papers
CasNet: Investigating Channel Robustness for Speech Separation
Fan-Lin Wang, Yao-Fei Cheng, Hung-Shin Lee +2
Recording channel mismatch between training and testing conditions has been shown to be a serious problem for speech separation. This situation greatly reduces the separation perfo…
Filter-based Discriminative Autoencoders for Children Speech Recognition
Chiang-Lin Tai, Hung-Shin Lee, Yu Tsao +1
Children speech recognition is indispensable but challenging due to the diversity of children's speech. In this paper, we propose a filter-based discriminative autoencoder for acou…
Generation of Speaker Representations Using Heterogeneous Training Batch Assembly
Yu-Huai Peng, Hung-Shin Lee, Pin-Tuan Huang +1
In traditional speaker diarization systems, a well-trained speaker model is a key component to extract representations from consecutive and partially overlapping segments in a long…
Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition
Hung-Shin Lee, Yu Tsao, Shyh-Kang Jeng +1
Phonotactic constraints can be employed to distinguish languages by representing a speech utterance as a multinomial distribution or phone events. In the present study, we propose…
SurpriseNet: Melody Harmonization Conditioning on User-controlled Surprise Contours
Yi-Wei Chen, Hung-Shin Lee, Yen-Hsing Chen +1
The surprisingness of a song is an essential and seemingly subjective factor in determining whether the listener likes it. With the help of information theory, it can be described…
Relational Data Selection for Data Augmentation of Speaker-dependent Multi-band MelGAN Vocoder
Yi-Chiao Wu, Cheng-Hung Hu, Hung-Shin Lee +5
Nowadays, neural vocoders can generate very high-fidelity speech when a bunch of training data is available. Although a speaker-dependent (SD) vocoder usually outperforms a speaker…