James Gibson
Cited by
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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
Predicting therapist empathy in motivational interviews using language features inspired by psycholinguistic norms
J Gibson, N Malandrakis, F Romero, DC Atkins, SS Narayanan
Sixteenth annual conference of the international speech communication …, 2015
A deep learning approach to modeling empathy in addiction counseling
J Gibson, D Can, B Xiao, ZE Imel, DC Atkins, P Georgiou, S Narayanan
Commitment 111, 21, 2016
Behavioral Coding of Therapist Language in Addiction Counseling Using Recurrent Neural Networks.
B Xiao, D Can, J Gibson, ZE Imel, DC Atkins, PG Georgiou, ...
Interspeech, 908-912, 2016
Classifying language-related developmental disorders from speech cues: the promise and the potential confounds.
D Bone, T Chaspari, K Audhkhasi, J Gibson, A Tsiartas, M Van Segbroeck, ...
INTERSPEECH, 182-186, 2013
Multiple instance learning for classification of human behavior observations
A Katsamanis, J Gibson, MP Black, SS Narayanan
International Conference on Affective Computing and Intelligent Interaction …, 2011
Design feasibility of an automated, machine-learning based feedback system for motivational interviewing.
ZE Imel, BT Pace, CS Soma, M Tanana, T Hirsch, J Gibson, P Georgiou, ...
Psychotherapy 56 (2), 318, 2019
Attention Networks for Modeling Behaviors in Addiction Counseling.
J Gibson, D Can, PG Georgiou, DC Atkins, SS Narayanan
Interspeech, 3251-3255, 2017
Analyzing the nature of ECA interactions in children with autism
E Mower, CC Lee, J Gibson, T Chaspari, ME Williams, S Narayanan
Twelfth Annual Conference of the International Speech Communication Association, 2011
Multi-label multi-task deep learning for behavioral coding
J Gibson, D Atkins, T Creed, Z Imel, P Georgiou, S Narayanan
IEEE Transactions on Affective Computing, 2019
Language Features for Automated Evaluation of Cognitive Behavior Psychotherapy Sessions.
N Flemotomos, VR Martinez, J Gibson, DC Atkins, T Creed, ...
Interspeech, 1908-1912, 2018
Using physiology and language cues for modeling verbal response latencies of children with ASD
T Chaspari, D Bone, J Gibson, CC Lee, S Narayanan
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
Using prosodic and lexical information for learning utterance-level behaviors in psychotherapy
K Singla, Z Chen, N Flemotomos, J Gibson, D Can, DC Atkins, ...
Interspeech 2018, 3413, 2018
A supervised signal-to-noise ratio estimation of speech signals
P Papadopoulos, A Tsiartas, J Gibson, S Narayanan
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
Automatic identification of salient acoustic instances in couples' behavioral interactions using diverse density support vector machines
J Gibson, A Katsamanis, MP Black, S Narayanan
Twelfth Annual Conference of the International Speech Communication Association, 2011
Combined Speaker Clustering and Role Recognition in Conversational Speech.
N Flemotomos, P Papadopoulos, J Gibson, SS Narayanan
Interspeech, 1378-1382, 2018
A dynamic model for behavioral analysis of couple interactions using acoustic features
W Xia, J Gibson, B Xiao, B Baucom, PG Georgiou
Sixteenth Annual Conference of the International Speech Communication …, 2015
Developing an Automated Report Card for Addiction Counseling: The Counselor Observer Ratings Expert for MI (CORE-MI).
T Hirsch, G Gray, J Gibson, SS Narayanan, ZE Imel, DS Atkins
AMIA, 2016
Barista: A framework for concurrent speech processing by usc-sail
D Can, J Gibson, C Vaz, PG Georgiou, SS Narayanan
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
Automated evaluation of psychotherapy skills using speech and language technologies
N Flemotomos, VR Martinez, Z Chen, K Singla, V Ardulov, R Peri, ...
Behavior Research Methods 54 (2), 690-711, 2022
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