| 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 (4), 335, 2008 | 806 | 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 | 341 | 2011 |
| 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 | 102 | 2009 |
| 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 | 101 | 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 | 89 | 2010 |
| 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 (5), 1121-1136, 2015 | 81 | 2015 |
| 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 | 75 | 2014 |
| Modeling mutual influence of interlocutor emotion states in dyadic spoken interactions CC Lee, C Busso, S Lee, SS Narayanan Tenth Annual Conference of the International Speech Communication Association, 2009 | 75 | 2009 |
| 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 | 73 | 2010 |
| 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 | 67 | 2014 |
| 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 | 61 | 2010 |
| 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 | 57 | 2014 |
| 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, S Narayanan Thirteenth Annual Conference of the International Speech Communication …, 2012 | 52 | 2012 |
| An analysis of PCA-based vocal entrainment measures in married couples' affective spoken interactions CC Lee, A Katsamanis, MP Black, BR Baucom, PG Georgiou, ... Twelfth Annual Conference of the International Speech Communication Association, 2011 | 37 | 2011 |
| 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 (3), 497-521, 2016 | 31 | 2016 |
| 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 | 30 | 2017 |
| An analysis of multimodal cues of interruption in dyadic spoken interactions CC Lee, S Lee, SS Narayanan Ninth Annual Conference of the International Speech Communication Association, 2008 | 30 | 2008 |
| 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 | 28 | 2017 |
| 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 | 23 | 2017 |
| Development of socially assistive robots for children with autism spectrum disorders D Feil-seifer, U Viterbi | 19 | 2009 |
