| IEMOCAP: Interactive emotional dyadic motion capture database C Busso, M Bulut, CC Lee, A Kazemzadeh, E Mower, S Kim, JN Chang, ... Language resources and evaluation 42, 335-359, 2008 | 3749 | 2008 |
| Emotion recognition using a hierarchical binary decision tree approach CC Lee, E Mower, C Busso, S Lee, S Narayanan Speech communication 53 (9-10), 1162-1171, 2011 | 545 | 2011 |
| Applying machine learning to facilitate autism diagnostics: pitfalls and promises D Bone, MS Goodwin, MP Black, CC Lee, K Audhkhasi, S Narayanan Journal of autism and developmental disorders 45, 1121-1136, 2015 | 289 | 2015 |
| Comparing deep neural network and other machine learning algorithms for stroke prediction in a large-scale population-based electronic medical claims database CY Hung, WC Chen, PT Lai, CH Lin, CC Lee 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 193 | 2017 |
| Interpreting ambiguous emotional expressions E Mower, A Metallinou, CC Lee, A Kazemzadeh, C Busso, S Lee, ... 2009 3rd International Conference on Affective Computing and Intelligent …, 2009 | 159 | 2009 |
| The psychologist as an interlocutor in autism spectrum disorder assessment: Insights from a study of spontaneous prosody D Bone, CC Lee, MP Black, ME Williams, S Lee, P Levitt, S Narayanan Journal of Speech, Language, and Hearing Research 57 (4), 1162-1177, 2014 | 142 | 2014 |
| Toward automating a human behavioral coding system for married couples’ interactions using speech acoustic features MP Black, A Katsamanis, BR Baucom, CC Lee, AC Lammert, ... Speech communication 55 (1), 1-21, 2013 | 140 | 2013 |
| Quantification of prosodic entrainment in affective spontaneous spoken interactions of married couples CC Lee, M Black, A Katsamanis, AC Lammert, BR Baucom, A Christensen, ... Eleventh Annual Conference of the International Speech Communication Association, 2010 | 135 | 2010 |
| Signal processing and machine learning for mental health research and clinical applications [perspectives] D Bone, CC Lee, T Chaspari, J Gibson, S Narayanan IEEE Signal Processing Magazine 34 (5), 196-195, 2017 | 117 | 2017 |
| Modeling mutual influence of interlocutor emotion states in dyadic spoken interactions. CC Lee, C Busso, S Lee, SS Narayanan Interspeech, 1983-1986, 2009 | 108 | 2009 |
| Computing vocal entrainment: A signal-derived PCA-based quantification scheme with application to affect analysis in married couple interactions CC Lee, A Katsamanis, MP Black, BR Baucom, A Christensen, ... Computer Speech & Language 28 (2), 518-539, 2014 | 105 | 2014 |
| The USC CreativeIT database: A multimodal database of theatrical improvisation A Metallinou, CC Lee, C Busso, S Carnicke, S Narayanan Multimodal Corpora: Advances in Capturing, Coding and Analyzing …, 2010 | 103 | 2010 |
| An interaction-aware attention network for speech emotion recognition in spoken dialogs SL Yeh, YS Lin, CC Lee ICASSP 2019-2019 IEEE International conference on acoustics, speech and …, 2019 | 90 | 2019 |
| Robust unsupervised arousal rating: A rule-based framework withknowledge-inspired vocal features D Bone, CC Lee, S Narayanan IEEE transactions on affective computing 5 (2), 201-213, 2014 | 90 | 2014 |
| The USC CreativeIT database of multimodal dyadic interactions: From speech and full body motion capture to continuous emotional annotations A Metallinou, Z Yang, C Lee, C Busso, S Carnicke, S Narayanan Language resources and evaluation 50, 497-521, 2016 | 87 | 2016 |
| Automatic classification of married couples' behavior using audio features M Black, A Katsamanis, CC Lee, AC Lammert, BR Baucom, A Christensen, ... Eleventh annual conference of the international speech communication association, 2010 | 75 | 2010 |
| Spontaneous-Speech Acoustic-Prosodic Features of Children with Autism and the Interacting Psychologist. D Bone, MP Black, CC Lee, ME Williams, P Levitt, S Lee, SS Narayanan InterSpeech, 1043-1046, 2012 | 72 | 2012 |
| Clinically validated machine learning algorithm for detecting residual diseases with multicolor flow cytometry analysis in acute myeloid leukemia and myelodysplastic syndrome BS Ko, YF Wang, JL Li, CC Li, PF Weng, SC Hsu, HA Hou, HH Huang, ... EBioMedicine 37, 91-100, 2018 | 66 | 2018 |
| Every rating matters: Joint learning of subjective labels and individual annotators for speech emotion classification HC Chou, CC Lee ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 59 | 2019 |
| Experimental study on extreme learning machine applications for speech enhancement T Hussain, SM Siniscalchi, CC Lee, SS Wang, Y Tsao, WH Liao IEEE Access 5, 25542-25554, 2017 | 59 | 2017 |
Shrikanth (Shri) NarayananUniversity Professor and Niki & Max Nikias Chair in Engineering, University of Southern Californiaยืนยันอีเมลแล้วที่ sipi.usc.edu
