Brian R. Baucom — accepted AI-conference papers

2020

Automatic Prediction of Suicidal Risk in Military Couples Using Multimodal Interaction Cues from Couples Conversations

Sandeep Nallan Chakravarthula, Md. Nasir, Shao-Yen Tseng, Haoqi Li, Tae Jin Park, Brian R. Baucom +3

ICASSP 2020accepted

Suicide is a major societal challenge globally, with a wide range of risk factors, from individual health, psychological and behavioral elements to socio-economic aspects. Military personnel, in particular, are at especially high risk. Crisis resources, while helpful, are often constrained by access…

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2018

Towards Predicting Physiology from Speech During Stressful Conversations: Heart Rate and Respiratory Sinus Arrhythmia

Arindam Jati, Paula G. Williams, Brian R. Baucom, Panayiotis G. Georgiou

ICASSP 2018accepted

Being affected by mental stress during conversations might have a direct or indirect effect on our speech acoustics as well as on our physiological responses. This paper presents a study on finding the relationship between these two modalities, speech acoustics and physiology, during stressful conve…

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2017

Unsupervised latent behavior manifold learning from acoustic features: Audio2behavior

Haoqi Li, Brian R. Baucom, Panayiotis G. Georgiou

ICASSP 2017accepted

Behavioral annotation using signal processing and machine learning is highly dependent on training data and manual annotations of behavioral labels. Previous studies have shown that speech information encodes significant behavioral information and be used in a variety of automated behavior recogniti…

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2015

A language-based generative model framework for behavioral analysis of couples' therapy

Sandeep Nallan Chakravarthula, Rahul Gupta, Brian R. Baucom, Panayiotis G. Georgiou

ICASSP 2015accepted

Observational studies for psychological evaluations rely on careful assessment of multiple behavioral cues. Recent studies have made good progress in automating the psychological evaluation, which often involved tedious manual annotation of a set of behavioral codes. However, the current methods imp…

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2015

Quantifying EDA synchrony through joint sparse representation: A case-study of couples' interactions

Theodora Chaspari, Brian R. Baucom, Adela C. Timmons, Andreas Tsiartas, Larissa Borofsky Del Piero, Katherine J. W. Baucom +3

ICASSP 2015accepted

The co-variation degree between individuals in their physiological signals can reveal insights about the quality of their interaction as well as their personal characteristics. In an effort to capture the amount of synchrony between Electrodermal Activity (EDA) streams occurring in parallel during d…

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2015

Redundancy analysis of behavioral coding for couples therapy and improved estimation of behavior from noisy annotations

Md. Nasir, Brian R. Baucom, Panayiotis G. Georgiou, Shrikanth S. Narayanan

ICASSP 2015accepted

Assessment and quantification of behavior is an important research objective in the recently developed field of behavioral signal processing. This paper focuses on the estimation of behavior from noisy human assessment. It aims to address the redundancy of behavioral descriptors for couples therapy…

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