Tin Lay Nwe - Concepedia

Author

Tin Lay Nwe

Institute for Infocomm Research ORCID

Also Known As

Nwe, Tin Lay, T.L. Nwe, Tin Lay Nwe, Tin Nwe

Publications

2.1K

Citations

H-Index

Concepts

All Affiliations

Institute for Infocomm Research Agency for Science, Technology and Research National University of Singapore Nanyang Technological University

About

Tin Lay Nwe is an author at Institute for Infocomm Research specializing in engineering, speech recognition, and speech processing.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	17	24	855
2	Health Sciences	13	13	1.4K
3	Arts	3	3	183
4	Management	1	1	19
5	Medicine	1	1	13

Tin Lay Nwe

Publications

Citations

H-Index

Page 1

	Year	Citations
Speech emotion recognition using hidden Markov models Tin Lay Nwe, Say Wei Foo, Liyanage C. De Silva Speech Communication Speech AnalysisHealth SciencesData ScienceAffective ComputingSpeech Emotion Recognition	2003	911
Cluster-Based Analysis for Personalized Stress Evaluation Using Physiological Signals Qianli Xu, Tin Lay Nwe, Cuntai Guan IEEE Journal of Biomedical and Health Informatics Wearable SystemEngineeringWearable TechnologySocial SciencesData Science	2014	158
Speech based emotion classification Tin Lay Nwe, Foo Say Wei, Liyanage C. De Silva EngineeringEmotion Classification MethodSpeech CorpusAffective NeuroscienceMultimodal Sentiment Analysis	2002	73
Exploring Vibrato-Motivated Acoustic Features for Singer Identification Tin Lay Nwe, Haizhou Li IEEE Transactions on Audio Speech and Language Processing MusicPopular MusicHealth SciencesMusic ClassificationPhonetics	2007	70
LyricAlly Ye Wang, Min‐Yen Kan, Tin Lay Nwe, MusicComputational MusicologyEngineeringData ScienceMusic Classification	2004	70
TRECVID 2004 Search and Feature Extraction Task by NUS PRIS Tat‐Seng Chua, Shi-Yong Neo, Ke-Ya Li,	2004	64
Detection of stress and emotion in speech using traditional and FFT based log energy features Tin Lay Nwe, Say Wei Foo, Liyanage C. De Silva Log Energy FeaturesSpeech CorpusMultimodal Sentiment AnalysisSocial SciencesSpeech Recognition	2004	58
RefineU-Net: Improved U-Net with progressive global feedbacks and residual attention guided local refinement for medical image segmentation Dongyun Lin, Yiqun Li, Tin Lay Nwe, Pattern Recognition Letters Residual AttentionProgressive Global FeedbacksConvolutional Neural NetworkMedical Image SegmentationImage Analysis	2020	53
Classification of stress in speech using linear and nonlinear features Tin Lay Nwe, Say Wei Foo, Liyanage C. De Silva 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). EngineeringSpeech CorpusPathological SpeechCorpus LinguisticsSpeech Recognition	2003	46
CAM-guided Multi-Path Decoding U-Net with Triplet Feature Regularization for Defect Detection and Segmentation Dongyun Lin, Yiqun Li, Shitala Prasad, Knowledge-Based Systems Machine VisionImage AnalysisMachine LearningEngineeringPattern Recognition	2021	44

Page 1