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02/17/2023
From User Perceptions to Technical Improvement: Enabling People Who Stutter to Better Use Speech Recognition
Consumer speech recognition systems do not work as well for many people ...
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02/08/2022
CALM: Contrastive Aligned Audio-Language Multirate and Multimodal Representations
Deriving multimodal representations of audio and lexical inputs is a cen...
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06/18/2021
Analysis and Tuning of a Voice Assistant System for Dysfluent Speech
Dysfluencies and variations in speech pronunciation can severely degrade...
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04/01/2021
Unsupervised Speech Representation Learning for Behavior Modeling using Triplet Enhanced Contextualized Networks
Speech encodes a wealth of information related to human behavior and has...
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02/22/2021
Automated Evaluation Of Psychotherapy Skills Using Speech And Language Technologies
With the growing prevalence of psychological interventions, it is vital ...
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02/03/2021
Confusion2vec 2.0: Enriching Ambiguous Spoken Language Representations with Subwords
Word vector representations enable machines to encode human language for...
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11/21/2019
An analysis of observation length requirements for machine understanding of human behaviors in spoken language
Machine learning-based human behavior modeling, often at the level of ch...
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11/21/2019
An analysis of observation length requirements in spoken language for machine understanding of human behaviors
Automatic quantification of human interaction behaviors based on languag...
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11/18/2019
Linguistically Aided Speaker Diarization Using Speaker Role Information
Speaker diarization relies on the assumption that speech segments corres...
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11/18/2019
Language Aided Speaker Diarization Using Speaker Role Information
Speaker diarization relies on the assumption that acoustic embeddings fr...
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11/04/2019
Speaker-invariant Affective Representation Learning via Adversarial Training
Representation learning for speech emotion recognition is challenging du...
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10/23/2019
Incremental Online Spoken Language Understanding
Spoken Language Understanding (SLU) typically comprises of an automatic ...
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10/08/2019
Linking emotions to behaviors through deep transfer learning
Human behavior refers to the way humans act and interact. Understanding ...
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09/10/2019
Multimodal Embeddings from Language Models
Word embeddings such as ELMo have recently been shown to model word sema...
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08/31/2019
Behavior Gated Language Models
Most current language modeling techniques only exploit co-occurrence, se...
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08/02/2019
Predicting Behavior in Cancer-Afflicted Patient and Spouse Interactions using Speech and Language
Cancer impacts the quality of life of those diagnosed as well as their s...
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04/12/2019
Modeling Interpersonal Linguistic Coordination in Conversations using Word Mover's Distance
Linguistic coordination is a well-established phenomenon in spoken conve...
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04/07/2019
Spoken Language Intent Detection using Confusion2Vec
Decoding speaker's intent is a crucial part of spoken language understan...
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11/27/2018
Speaker Diarization With Lexical Information
This work presents a novel approach to leverage lexical information for ...
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11/08/2018
Confusion2Vec: Towards Enriching Vector Space Word Representations with Representational Ambiguities
Word vector representations are a crucial part of Natural Language Proce...
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07/18/2018
Multi-Task Unsupervised Contextual Learning for Behavioral Annotation
Unsupervised learning has been an attractive method for easily deriving ...
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05/28/2018
Multimodal Speaker Segmentation and Diarization using Lexical and Acoustic Cues via Sequence to Sequence Neural Networks
While there has been substantial amount of work in speaker diarization r...
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05/23/2018
Modeling Interpersonal Influence of Verbal Behavior in Couples Therapy Dyadic Interactions
Dyadic interactions among humans are marked by speakers continuously inf...
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05/08/2018
Transfer Learning from Adult to Children for Speech Recognition: Evaluation, Analysis and Recommendations
Children speech recognition is challenging mainly due to the inherent hi...
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04/23/2018
Towards an Unsupervised Entrainment Distance in Conversational Speech using Deep Neural Networks
Entrainment is a known adaptation mechanism that causes interaction part...
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02/22/2018
Neural Predictive Coding using Convolutional Neural Networks towards Unsupervised Learning of Speaker Characteristics
Learning speaker-specific features is vital in many applications like sp...
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02/07/2018
Learning from Past Mistakes: Improving Automatic Speech Recognition Output via Noisy-Clean Phrase Context Modeling
Automatic speech recognition (ASR) systems lack joint optimization durin...
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06/14/2016