Research

My research concerns human-centered signal processing and machine learning, with a focus on creating engineering techniques and systems for societal applications in human health and well-being. Specifically, I am developing computational methods for characterizing and eventually treating neuro-cognitive disorders such as Autism (population prevalence of 1 in 68).


Journal Publications

Daniel Bone, Somer L. Bishop, Matthew P. Black, Matthew S. Goodwin, Catherine Lord, and Shrikanth S. Narayanan, "Use of machine learning to improve autism screening and diagnostic instruments: effectiveness, efficiency, and multi-instrument fusion.", Journal of Child Psychology and Psychiatry, Vol. 57.8, pp. 927-37, August 2016.

Daniel Bone, Chi-Chun Lee, Matthew P. Black, Marian E. Williams, Pat Levitt, Sungbok Lee, and Shrikanth Narayanan, "The Psychologist as an Interlocutor in Autism Spectrum Disorder Assessment: Insights from a Study of Spontaneous Prosody", Journal of Speech, Language, and Hearing Research, Vol. 57, pp. 1162-1177, August 2014.

Daniel Bone, Chi-Chun Lee, and Shrikanth Narayanan, "Robust Unsupervised Arousal Rating: A rule-based framework with knowledge-inspired vocal features", IEEE Transactions on Affective Computing, Vol. 5.2, pp. 201-213, April 2014.

Daniel Bone, Matthew Goodwin, Matthew P. Black, Chi-Chun Lee, Kartik Audhkhasi, and Shrikanth Narayanan, "Applying Machine Learning to Facilitate Autism Diagnostics: Pitfalls and promise", Journal of Autism and Developmental Disorders, (in Press), 2014.

Daniel Bone, Ming Li, Matthew P. Black, and Shrikanth Narayanan, "Intoxicated Speech Detection: A Fusion Framework with Speaker-Normalized Hierarchical Functionals and GMM Supervectors", Computer Speech and Language: Special Issue Broadening the View on Speaker Analysis, Vol. 28.2, pp. 375-391, 2014.

Conference Publications

Daniel Bone, James Gibson, Theodora Chaspari, Dogan Can, and Shrikanth Narayanan, "Speech and Language Processing for Mental Health Research and Care", in Proceedings of Asilomar Conference on Signals, Systems, and Computers, 2016.

Daniel Bone, Somer Bishop, Rahul Gupta, Sungbok Lee, and Shrikanth Narayanan, "Acoustic-Prosodic and Turn-taking Features in Interactions with Children with Neurodevelopmental Disorders", in Proceedings of InterSpeech, San Francisco, 2016.

Manoj Kumar, Rahul Gupta, Daniel Bone, Nikolaos Malandrakis, Somer Bishop, and Shrikanth Narayanan, "Objective Language Feature Analysis in Children with Neurodevelopmental Disorders During Autism Assessment", in Proceedings of InterSpeech, San Francisco, 2016.

Daniel Bone, Matthew P. Black, Anil Ramakrishna, Ruth Grossman, and Shrikanth Narayanan, "Acoustic-Prosodic Correlates of `Awkward' Prosody in Story Retellings from Adolescents with Autism", in Proceedings of InterSpeech, Dresden, Germany, 2015.

Chi-Chun Lee, Daniel Bone, and Shrikanth Narayanan, "An Analysis of the Relationship between Signal-derived Vocal Arousal Score and Human Emotion Production and Perception", in Proceedings of InterSpeech, Dresden, Germany, 2015.

Matthew P. Black, Daniel Bone, Zisis I. Skordilis, Rahul Gupta, Wei Xia, Pavlos Papadopoulos, Sandeep Nallan Chakravarthula, Bo Xiao, Maarten Van Segbroeck, Jangwon Kim, Panayiotis G. Georgiou, and Shrikanth Narayanan, "Automated Evaluation of Non-Native English Pronunciation Quality: Combining Knowledge- and Data-Driven Features at Multiple Time Scales", in Proceedings of InterSpeech, Dresden, Germany, 2015. - Challenge Winner

Daniel Bone, Chi-Chun Lee, Alexandros Potamianos, and Shrikanth Narayanan, "An Investigation of Vocal Arousal Dynamics in Child-Psychologist Interactions using Synchrony Measures and a Conversation-based Model", in Proceedings of InterSpeech, Singapore, 2014.

Daniel Bone, Chi-Chun Lee, Theodora Chaspari, Matthew Black, Marian Williams, Sungbok Lee, Pat Levitt, and Shrikanth Narayanan, "Acoustic-Prosodic, Turn-taking, and Language Cues in Child-Psychologist Interactions for Varying Social Demand", in Proceedings of InterSpeech, Lyon, France, 2013.

Daniel Bone, Theodora Chaspari, Kartik Audkhasi, James Gibson, Andreas Tsiartas, Maarten Van Segbroeck, Ming Li, Sungbok Lee, and Shrikanth Narayanan, "Classifying Language-Related Developmental Disorders from Speech Cues: the Promise and the Potential Confounds", in Proceedings of InterSpeech, Lyon, France, 2013.

Daniel Bone, Chi-Chun Lee, Vikram Ramanarayanan, Shrikanth Narayanan, Renske Hoedemaker, and Peter Gordon, "Analyzing Eye-Voice Coordination in Rapid Automatized Naming", in Proceedings of InterSpeech, Lyon, France, 2013.

Theodora Chaspari, Daniel Bone, James Gibson, Chi-Chun Lee, and Shrikanth Narayanan, "Using Physiology and Language Cues for Modeling Verbal Response Latencies of Children with ASD", in Proceedings of ICASSP, Vancouver, Canada, 2013.

Daniel Bone, Matthew P. Black, Chi-Chun Lee, Marian E. Williams, Pat Levitt, Sungbok Lee, and Shrikanth Narayanan, "Spontaneous-Speech Acoustic-Prosodic Features of Children with Autism and the Interacting Psychologist", in Proceedings of InterSpeech, Portland, OR, 2012.

Daniel Bone, Chi-Chun Lee, and Shrikanth Narayanan, "A Robust Unsupervised Arousal Rating Framework using Prosody with Cross-Corpora Evaluation", in Proceedings of InterSpeech, Portland, OR, 2012.

Rahul Gupta, Chi-Chun Lee, Daniel Bone, Agata Rozga, Sungbok Lee, and Shrikanth Narayanan, "Acoustical Analysis of Engagement Behavior in Children", in Proceedings of WOCCI, Portland, OR, 2012.

Ming Li, Angeliki Metallinou, Daniel Bone, Shrikanth Narayanan, "Speaker states recognition using latent factor analysis based Eigenchannel factor vector modeling", in Proceedings of ICASSP, Kyoto, Japan, 2012.

Daniel Bone, Matthew P. Black, Ming Li, Angeliki Metallinou, Sungbok Lee, and Shrikanth Narayanan, "Intoxicated Speech Detection by Fusion of Speaker Normalized Hierarchical Features and GMM Supervectors", in Proceedings of InterSpeech, Florence, Italy, 2011. - Challenge Winner

Matthew P. Black, Daniel Bone, Marian E. Williams, Phillip Gorrindo, Pat Levitt, and Shrikanth Narayanan, "The USC CARE Corpus: Child-Psychologist Interactions of Children with Autism Spectrum Disorders", in Proceedings of InterSpeech, Florence, Italy, 2011.

Daniel Bone, Samuel Kim, Sungbok Lee, and Shrikanth Narayanan, "A Study of Intra-Speaker and Inter-Speaker Affective Variability using Electroglottograph and Inverse Filtered Glottal Waveforms", in Proceedings of InterSpeech, Makuhari, Japan, 2010.

Michael I. Proctor, Danny Bone, Nassos Katsamanis, and Shrikanth Narayanan, "Rapid Semi-automatic Segmentation of Real-time Magnetic Resonance Images for Parametric Vocal Tract Analysis", in Proceedings of InterSpeech, Makuhari, Japan, 2010.


Abstracts

Daniel Bone, Matthew Goodwin, Matthew P. Black, and Shrikanth Narayanan, "Machine Learning and Autism Diagnostics: Promises and potential pitfalls", in International Meeting for Autism Research, Salt Lake City, Utah, May 2015.

Daniel Bone, Chi-Chun Lee, Matthew P. Black, Marian Williams, Sungbok Lee, Pat Levitt, and Shrikanth Narayanan, "Computational Vocal Arousal: An objective instrument for studying affect and interaction in ASD", in International Meeting for Autism Research, Atlanta, Georgia, May 2014.

Daniel Bone, Michael Proctor, Yoon Kim, Shrikanth Narayanan, "Semi-Automatic Modeling of Tongue Surfaces using Volumetric Structural MRI", in Proceedings of the Meeting of the Acoustical Society of America, San Diego, CA, November 2011.

Matthew P. Black, Daniel Bone, Theodora Chaspari, Andreas Tsiartas, Phillip Gorrindo, Marian E. Williams, Pat Levitt, and Shrikanth S. Narayanan, "Signal processing tools for the automatic analysis of child-psychologist interactions", in Proceedings of the International Meeting for Autism Research, San Diego, CA, USA, May 2011.


Media Coverage

Winner of ISCA Interspeech 2011 Speaker State Challenge - Intoxication:
Challenge Website | Viterbi Article | KPCC Off-Ramp
Child-Psychologist Prosody in Autism Diagnostic Interactions: SFARI.org


Software

Vocal Arousal Rating Toolkit (Matlab. [requires Praat]):
*Please note that an error currently exists (and will be fixed in version 1.1!) in the time-continuous rating, but the utterance-rating method is fine*
ReadMe | Download Version 1.0