Daniel Bone
Daniel Bone
Amazon, Alexa
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Zitiert von
Zitiert von
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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