12 citations · 22 across the 19 of their papers we have counts for
10 papers · 1 filter
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…
A Training and Inference Strategy Using Noisy and Enhanced Speech as Target for Speech Enhancement without Clean Speech
Li-Wei Chen, Yao-Fei Cheng, Hung-Shin Lee +2
The lack of clean speech is a practical challenge to the development of speech enhancement systems, which means that there is an inevitable mismatch between their training criterio…
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…
Disentangling the Impacts of Language and Channel Variability on Speech Separation Networks
Fan-Lin Wang, Hung-Shin Lee, Yu Tsao +1
Because the performance of speech separation is excellent for speech in which two speakers completely overlap, research attention has been shifted to dealing with more realistic sc…
Multi-target Extractor and Detector for Unknown-number Speaker Diarization
Chin-Yi Cheng, Hung-Shin Lee, Yu Tsao +1
Strong representations of target speakers can help extract important information about speakers and detect corresponding temporal regions in multi-speaker conversations. In this st…
Speech-enhanced and Noise-aware Networks for Robust Speech Recognition
Hung-Shin Lee, Pin-Yuan Chen, Yao-Fei Cheng +2
Compensation for channel mismatch and noise interference is essential for robust automatic speech recognition. Enhanced speech has been introduced into the multi-condition training…
Chain-based Discriminative Autoencoders for Speech Recognition
Hung-Shin Lee, Pin-Tuan Huang, Yao-Fei Cheng +1
In our previous work, we proposed a discriminative autoencoder (DcAE) for speech recognition. DcAE combines two training schemes into one. First, since DcAE aims to learn encoder-d…
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…
Melody Harmonization Using Orderless NADE, Chord Balancing, and Blocked Gibbs Sampling
Chung-En Sun, Yi-Wei Chen, Hung-Shin Lee +2
Coherence and interestingness are two criteria for evaluating the performance of melody harmonization, which aims to generate a chord progression from a symbolic melody. In this st…