A Context-Aware Computational Approach for Measuring Vocal Entrainment in Dyadic Conversations-Reference-Cited by-同舟云学术

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A Context-Aware Computational Approach for Measuring Vocal Entrainment in Dyadic Conversations

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Lahiri Rimita¹,Nasir Md²,Lord Catherine³,Kim So Hyun⁴,Narayanan Shrikanth¹

Affiliation:

1. University of Southern California,Signal Analysis and Interpretation Laboratory,Los Angeles,USA

2. Redmond,Microsoft AI for Good Research Lab,Washington,USA

3. University of California,Semel Institute of Neuroscience and Human Behavior,Los Angeles,USA

4. Korea University,School of Psychology,Seoul,Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095512.pdf?arnumber=10095512

Reference20 articles.

1. Attention is all you need;vaswani;Advances in neural information processing systems,2017

2. Interpersonal Synchrony: A Survey of Evaluation Methods across Disciplines

3. The fisher corpus: A resource for the next generations of speech-to-text;cieri;LREC,2004

4. Conformer: Convolution-augmented Transformer for Speech Recognition

5. Camouflage and autism

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1. Multimodal Analysis and Assessment of Therapist Empathy in Motivational Interviews;INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION;2023-10-09

2. The sex or the head? Feminine voices and academic women through the work of Hélène Cixous;Educational Philosophy and Theory;2023-06-09

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