| 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 | 244 | 2015 |
| Use of machine learning to improve autism screening and diagnostic instruments: effectiveness, efficiency, and multi‐instrument fusion D Bone, SL Bishop, MP Black, MS Goodwin, C Lord, SS Narayanan Journal of Child Psychology and Psychiatry 57 (8), 927-937, 2016 | 168 | 2016 |
| 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, 2014 | 116 | 2014 |
| 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 | 92 | 2017 |
| 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 | 79 | 2014 |
| Rapid semi-automatic segmentation of real-time magnetic resonance images for parametric vocal tract analysis MI Proctor, D Bone, A Katsamanis, SS Narayanan Eleventh Annual Conference of the International Speech Communication Association, 2010 | 70 | 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, S Narayanan Interspeech, 2012 | 62 | 2012 |
| Modeling therapist empathy through prosody in drug addiction counseling B Xiao, D Bone, MV Segbroeck, ZE Imel, DC Atkins, PG Georgiou, ... Fifteenth annual conference of the international speech communication …, 2014 | 55 | 2014 |
| Intoxicated speech detection by fusion of speaker normalized hierarchical features and GMM supervectors D Bone, MP Black, M Li, A Metallinou, S Lee, S Narayanan Twelfth Annual Conference of the International Speech Communication Association, 2011 | 49 | 2011 |
| Pathological speech processing: State-of-the-art, current challenges, and future directions R Gupta, T Chaspari, J Kim, N Kumar, D Bone, S Narayanan 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 48 | 2016 |
| Clinical state tracking in serious mental illness through computational analysis of speech AC Arevian, D Bone, N Malandrakis, VR Martinez, KB Wells, DJ Miklowitz, ... PLoS one 15 (1), e0225695, 2020 | 44 | 2020 |
| Automatic estimation of Parkinson's disease severity from diverse speech tasks J Kim, M Nasir, R Gupta, MV Segbroeck, D Bone, MP Black, ZI Skordilis, ... Sixteenth Annual Conference of the International Speech Communication …, 2015 | 36 | 2015 |
| Acoustic-prosodic correlates of'awkward'prosody in story retellings from adolescents with autism. D Bone, MP Black, A Ramakrishna, RB Grossman, SS Narayanan Interspeech, 1616-1620, 2015 | 34 | 2015 |
| Intoxicated speech detection: A fusion framework with speaker-normalized hierarchical functionals and GMM supervectors D Bone, M Li, MP Black, SS Narayanan Computer speech & language 28 (2), 375-391, 2014 | 34 | 2014 |
| Automated evaluation of non-native English pronunciation quality: combining knowledge-and data-driven features at multiple time scales MP Black, D Bone, ZI Skordilis, R Gupta, W Xia, P Papadopoulos, ... Sixteenth Annual Conference of the International Speech Communication …, 2015 | 32 | 2015 |
| Contrastive unsupervised learning for speech emotion recognition M Li, B Yang, J Levy, A Stolcke, V Rozgic, S Matsoukas, C Papayiannis, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 31 | 2021 |
| Speaker states recognition using latent factor analysis based eigenchannel factor vector modeling M Li, A Metallinou, D Bone, S Narayanan 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 30 | 2012 |
| The usc care corpus: Child-psychologist interactions of children with autism spectrum disorders MP Black, D Bone, ME Williams, P Gorrindo, P Levitt, S Narayanan Twelfth Annual conference of the international speech communication association, 2011 | 29 | 2011 |
| Analysis of engagement behavior in children during dyadic interactions using prosodic cues R Gupta, D Bone, S Lee, S Narayanan Computer speech & language 37, 47-66, 2016 | 27 | 2016 |
| Classifying Language-Related Developmental Disorders from Speech Cues: the Promise and the Potential Confounds D Bone, T Chaspari, K Audkhasi, J Gibson, A Tsiartas, MV Segbroeck, ... Interspeech, 2013 | 25 | 2013 |
