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Towards an Unsupervised Entrainment Distance in Conversational Speech Using Deep Neural Networks

https://doi.org/10.21437/interspeech.2018-1395

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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The exchange of nonverbal intimacy: A critical review of dyadic models

inferredcites →https://doi.org/10.1007/s12559-014-9261-4openalex-snapshot

Social Aspects of Entrainment in Spoken Interaction

inferredcites →https://doi.org/10.1016/j.csl.2012.06.006openalex-snapshot

Computing vocal entrainment: A signal-derived PCA-based quantification scheme with application to affect analysis in married couple interactions

inferredcites →https://doi.org/10.1037/h0035328openalex-snapshot

Interrelationships among warmth, genuineness, empathy, and temporal speech patterns in interpersonal interaction.

inferredcites →https://doi.org/10.1109/icassp.2017.7953232openalex-snapshot

Unsupervised latent behavior manifold learning from acoustic features: Audio2behavior

inferredcites →https://doi.org/10.1109/iccv.2015.169openalex-snapshot

Fast R-CNN

inferredcites →https://doi.org/10.1109/jproc.2012.2236291openalex-snapshot

Behavioral Signal Processing: Deriving Human Behavioral Informatics From Speech and Language

inferredcites →https://doi.org/10.1109/taslp.2019.2921890openalex-snapshot

Neural Predictive Coding Using Convolutional Neural Networks Toward Unsupervised Learning of Speaker Characteristics

inferredcites →https://doi.org/10.1145/1873951.1874246openalex-snapshot

Opensmile

inferredcites →https://doi.org/10.1145/2072572.2072576openalex-snapshot

Behavioral signal processing for understanding (distressed) dyadic interactions

inferredcites →https://doi.org/10.21437/interspeech.2010-287openalex-snapshot

Quantification of prosodic entrainment in affective spontaneous spoken interactions of married couples

inferredcites →https://doi.org/10.21437/interspeech.2011-771openalex-snapshot

Measuring acoustic-prosodic entrainment with respect to multiple levels and dimensions

inferredcites →https://doi.org/10.21437/interspeech.2013-251openalex-snapshot

Modeling therapist empathy and vocal entrainment in drug addiction counseling

inferredcites →https://doi.org/10.21437/interspeech.2016-1367openalex-snapshot

Complexity in Prosody: A Nonlinear Dynamical Systems Approach for Dyadic Conversations; Behavior and Outcomes in Couples Therapy

inferredcites →https://doi.org/10.21437/interspeech.2017-1641openalex-snapshot

Complexity in Speech and its Relation to Emotional Bond in Therapist-Patient Interactions During Suicide Risk Assessment Interviews

inferredcites →https://doi.org/10.21437/interspeech.2017-1650openalex-snapshot

Speaker2Vec: Unsupervised Learning and Adaptation of a Speaker Manifold Using Deep Neural Networks with an Evaluation on Speaker Segmentation

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AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)

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Adam: A Method for Stochastic Optimization

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Interpersonal adaptation: dyadic interaction patterns

inferredcites →https://doi.org/10.63317/5q862povzthropenalex-snapshot

The Fisher Corpus: a Resource for the Next Generations of Speech-to-Text

inferredcites →https://doi.org/10.7916/d8v12d8fopenalex-snapshot

Measuring acoustic-prosodic entrainment with respect to multiple levels and dimensions

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Toward differential diagnosis of autism spectrum disorder using multimodal behavior descriptors and executive functions

inferred← citeshttps://doi.org/10.1016/j.csl.2025.101930openalex-snapshot

Entrainment detection using DNN

inferred← citeshttps://doi.org/10.1016/j.specom.2019.10.007openalex-snapshot

Individual differences in acoustic-prosodic entrainment in spoken dialogue

inferred← citeshttps://doi.org/10.1057/s41599-024-04137-4openalex-snapshot

Unpacking the gender-role interaction of prosodic entrainment in Chinese long-and-short turn-taking: evidence from perceptual and acoustic similarities

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9746787openalex-snapshot

Entrainment Analysis for Assessment of Autistic Speech Prosody Using Bottleneck Features of Deep Neural Network

inferred← citeshttps://doi.org/10.1109/taffc.2020.3024972openalex-snapshot

Modeling Vocal Entrainment in Conversational Speech Using Deep Unsupervised Learning

inferred← citeshttps://doi.org/10.1121/10.0013421openalex-snapshot

Interpersonal synchrony across vocal and lexical modalities in interactions involving children with autism spectrum disorder

inferred← citeshttps://doi.org/10.1371/journal.pone.0258639openalex-snapshot

Automated quality assessment of cognitive behavioral therapy sessions through highly contextualized language representations

inferred← citeshttps://doi.org/10.21437/interspeech.2023-1929openalex-snapshot

Unsupervised Auditory and Semantic Entrainment Models with Deep Neural Networks

inferred← citeshttps://doi.org/10.48550/arxiv.1904.06002openalex-snapshot

Modeling Interpersonal Linguistic Coordination in Conversations using Word Mover's Distance

inferred← citeshttps://doi.org/10.48550/arxiv.2011.01860openalex-snapshot

Decoupling entrainment from consistency using deep neural networks

inferred← citeshttps://doi.org/10.70675/2006872fz1999z4143z96fez08f05a55f2ddopenalex-snapshot

A data intensive approach for characterizing speech interpersonal dynamics in natural conversations

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Linking emotions to behaviors through deep transfer learning

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