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Chung-Hsien Wu
Chung-Hsien Wu
Professor of Computer Science and Information Engineering, National Cheng Kung University
Verified email at csie.ncku.edu.tw
Title
Cited by
Cited by
Year
Emotion recognition of affective speech based on multiple classifiers using acoustic-prosodic information and semantic labels
CH Wu, WB Liang
IEEE Transactions on Affective Computing 2 (1), 10-21, 2010
3732010
Emotion recognition from text using semantic labels and separable mixture models
CH Wu, ZJ Chuang, YC Lin
ACM transactions on Asian language information processing (TALIP) 5 (2), 165-183, 2006
3442006
Phonetic variation model building apparatus and method and phonetic recognition system and method thereof
LI Huan-Chung, CH Wu, HP Shen, CK Wang, CH Hsieh
US Patent 8,478,591, 2013
3032013
Survey on audiovisual emotion recognition: databases, features, and data fusion strategies
CH Wu, JC Lin, WL Wei
APSIPA transactions on signal and information processing 3, e12, 2014
2482014
Multi-modal emotion recognition from speech and text
ZJ Chuang, CH Wu
International Journal of Computational Linguistics & Chinese Language …, 2004
2032004
Error weighted semi-coupled hidden Markov model for audio-visual emotion recognition
JC Lin, CH Wu, WL Wei
IEEE Transactions on Multimedia 14 (1), 142-156, 2011
1482011
Speech emotion recognition using deep neural network considering verbal and nonverbal speech sounds
KY Huang, CH Wu, QB Hong, MH Su, YH Chen
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
1402019
Voice conversion using duration-embedded bi-HMMs for expressive speech synthesis
CH Wu, CC Hsia, TH Liu, JF Wang
IEEE Transactions on Audio, Speech, and Language Processing 14 (4), 1109-1116, 2006
1322006
MAP-based adaptation for speech conversion using adaptation data selection and non-parallel training.
CH Lee, CH Wu
Interspeech, 2254-2257, 2006
1192006
A chatbot using LSTM-based multi-layer embedding for elderly care
MH Su, CH Wu, KY Huang, QB Hong, HM Wang
2017 international conference on orange technologies (ICOT), 70-74, 2017
932017
A hierarchical neural network model based on a C/V segmentation algorithm for isolated Mandarin speech recognition
JF Wang, CH Wu, SH Chang, JYL Lee
IEEE Transactions on Signal Processing 39 (9), 2141-2146, 1991
931991
Speech Emotion Recognition Considering Nonverbal Vocalization in Affective Conversations
JH Hsu, MH Su, CH Wu, YH Chen
IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 1675-1686, 2021
872021
Emotion recognition using acoustic features and textual content
ZJ Chuang, CH Wu
2004 IEEE International Conference on Multimedia and Expo (ICME)(IEEE Cat …, 2004
862004
A two-stage transformer-based approach for variable-length abstractive summarization
MH Su, CH Wu, HT Cheng
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 2061-2072, 2020
822020
LSTM-based text emotion recognition using semantic and emotional word vectors
MH Su, CH Wu, KY Huang, QB Hong
2018 First Asian Conference on Affective Computing and Intelligent …, 2018
792018
Detecting unipolar and bipolar depressive disorders from elicited speech responses using latent affective structure model
KY Huang, CH Wu, MH Su, YT Kuo
IEEE Transactions on Affective Computing 11 (3), 393 - 404, 2020
772020
Attention-based convolutional neural network and long short-term memory for short-term detection of mood disorders based on elicited speech responses
KY Huang, CH Wu, MH Su
Pattern Recognition 88, 668-678, 2019
732019
Compressive sensing-based speech enhancement
JC Wang, YS Lee, CH Lin, SF Wang, CH Shih, CH Wu
IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (11 …, 2016
722016
Hierarchical prosody conversion using regression-based clustering for emotional speech synthesis
CH Wu, CC Hsia, CH Lee, MC Lin
IEEE Transactions on Audio, Speech, and Language Processing 18 (6), 1394-1405, 2009
702009
Multiple change-point audio segmentation and classification using an MDL-based Gaussian model
CH Wu, CH Hsieh
IEEE Transactions on Audio, Speech, and Language Processing 14 (2), 647-657, 2006
672006
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