Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Yuan-Shan Lee"'
Publikováno v:
IEEE Access, Vol 10, Pp 102048-102063 (2022)
Speech separation has been employed in important applications such as automatic speech, paralinguistics, speech recognition, hearing aids, and human-machine interactions. In recent years, deep neural networks have been widely used for speech and musi
Externí odkaz:
https://doaj.org/article/54697f9604a946f682ea78a48646944b
Autor:
Viet-Hang Duong, Yuan-Shan Lee, Jian-Jiun Ding, Bach-Tung Pham, Manh-Quan Bui, Pham The Bao, Jia-Ching Wang
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2018, Iss 1, Pp 1-11 (2018)
Abstract In this paper, a dimensionality reduction method applied on facial expression recognition is investigated. An unsupervised learning framework, projective complex matrix factorization (proCMF), is introduced to project high-dimensional input
Externí odkaz:
https://doaj.org/article/17a2c46ff4724c5689a2d63f6bd6b72d
Autor:
Bach-Tung Pham, Ting-Yu Wang, Phuong Le Thi, Khai-Thinh Nguyen, Yuan-Shan Lee, Tzu-Chiang Tai, Jia-Ching Wang
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa020f75a39c4d51148ec3a1f123c669
https://doi.org/10.1109/icassp49357.2023.10095179
https://doi.org/10.1109/icassp49357.2023.10095179
Publikováno v:
IEICE Transactions on Information and Systems. :821-825
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5b985b375137d6c7f16fbbadbe401b5
https://doi.org/10.1587/transinf.2018dal0002
https://doi.org/10.1587/transinf.2018dal0002
Publikováno v:
ISM
Sentiment analysis has an important role in social media monitoring as it extracts public opinions, emotions, and feelings about certain products or services. There are several publications in building a system to identify opinions from text using ru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe3da2998d7edcbeb2f0c30aacd4bbfd
https://doi.org/10.1109/ism46123.2019.00075
https://doi.org/10.1109/ism46123.2019.00075
Autor:
Tuan Pham1, Yuan-Shan Lee1, Yan-Bo Lin1, Yung-Hui Li1, Tzu-Chiang Tai2, Jia-Ching Wang1 jiacwang@gmail.com
Publikováno v:
Intelligent Data Analysis. 2017 Supplement, Vol. 21, pS5-S19. 15p.
Publikováno v:
Intelligent Data Analysis. 21:S5-S19
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f5dd7f0e9d6b90f42a71db977acdd04
https://doi.org/10.3233/ida-170869
https://doi.org/10.3233/ida-170869
Autor:
Viet-Hang DUONG, Manh-Quan BUI, Jian-Jiun DING, Yuan-Shan LEE, Bach-Tung PHAM, Pham The BAO, Jia-Ching WANG
Publikováno v:
IEICE Transactions on Information and Systems. :3059-3063
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::baa8e4e09c52dfe3cf0f3bff8cbc8d4f
https://doi.org/10.1587/transinf.2017edl8115
https://doi.org/10.1587/transinf.2017edl8115
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 24:2122-2131
This study proposes a speech enhancement method based on compressive sensing. The main procedures involved in the proposed method are performed in the frequency domain. First, an overcomplete dictionary is constructed from the trained speech frames.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29e4018c39a036924d92f2040252b13f
https://doi.org/10.1109/taslp.2016.2598306
https://doi.org/10.1109/taslp.2016.2598306
Publikováno v:
ICPR
Techniques for analyzing complex-valued data are required in numerous fields, such as signal processing. This work develops a novel complex-valued latent variable model, named locality-preserving discriminative complex-valued Gaussian process latent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edfa236a16d55f8cfcd32c0633b18c08
https://doi.org/10.1109/icpr.2018.8545436
https://doi.org/10.1109/icpr.2018.8545436