Panayiotis Georgiou

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Shrikanth Narayanan
93 publications
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55 publications
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31 publications
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28 publications
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25 publications
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14 publications
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research

∙ 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 ...

0 Colin Lea, et al. ∙

research

∙ 02/08/2022

CALM: Contrastive Aligned Audio-Language Multirate and Multimodal Representations

Deriving multimodal representations of audio and lexical inputs is a cen...

0 Vin Sachidananda, et al. ∙

research

∙ 06/18/2021

Analysis and Tuning of a Voice Assistant System for Dysfluent Speech

Dysfluencies and variations in speech pronunciation can severely degrade...

0 Vikramjit Mitra, et al. ∙

research

∙ 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...

10 Haoqi Li, et al. ∙

research

∙ 02/22/2021

Automated Evaluation Of Psychotherapy Skills Using Speech And Language Technologies

With the growing prevalence of psychological interventions, it is vital ...

9 Nikolaos Flemotomos, et al. ∙

research

∙ 02/03/2021

Confusion2vec 2.0: Enriching Ambiguous Spoken Language Representations with Subwords

Word vector representations enable machines to encode human language for...

7 Prashanth Gurunath Shivakumar, et al. ∙

research

∙ 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...

0 Sandeep Nallan Chakravarthula, et al. ∙

research

∙ 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...

0 Sandeep Nallan Chakravarthula, et al. ∙

research

∙ 11/18/2019

Linguistically Aided Speaker Diarization Using Speaker Role Information

Speaker diarization relies on the assumption that speech segments corres...

0 Nikolaos Flemotomos, et al. ∙

research

∙ 11/18/2019

Language Aided Speaker Diarization Using Speaker Role Information

Speaker diarization relies on the assumption that acoustic embeddings fr...

0 Nikolaos Flemotomos, et al. ∙

research

∙ 11/04/2019

Speaker-invariant Affective Representation Learning via Adversarial Training

Representation learning for speech emotion recognition is challenging du...

0 Haoqi Li, et al. ∙

research

∙ 10/23/2019

Incremental Online Spoken Language Understanding

Spoken Language Understanding (SLU) typically comprises of an automatic ...

0 Prashanth Gurunath Shivakumar, et al. ∙

research

∙ 10/08/2019

Linking emotions to behaviors through deep transfer learning

Human behavior refers to the way humans act and interact. Understanding ...

0 Haoqi Li, et al. ∙

research

∙ 09/10/2019

Multimodal Embeddings from Language Models

Word embeddings such as ELMo have recently been shown to model word sema...

0 Shao-Yen Tseng, et al. ∙

research

∙ 08/31/2019

Behavior Gated Language Models

Most current language modeling techniques only exploit co-occurrence, se...

0 Prashanth Gurunath Shivakumar, et al. ∙

research

∙ 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...

0 Sandeep Nallan Chakravarthula, et al. ∙

research

∙ 04/12/2019

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

Linguistic coordination is a well-established phenomenon in spoken conve...

0 Md Nasir, et al. ∙

research

∙ 04/07/2019

Spoken Language Intent Detection using Confusion2Vec

Decoding speaker's intent is a crucial part of spoken language understan...

0 Prashanth Gurunath Shivakumar, et al. ∙

research

∙ 11/27/2018

Speaker Diarization With Lexical Information

This work presents a novel approach to leverage lexical information for ...

0 Tae Jin Park, et al. ∙

research

∙ 11/08/2018

Confusion2Vec: Towards Enriching Vector Space Word Representations with Representational Ambiguities

Word vector representations are a crucial part of Natural Language Proce...

0 Prashanth Gurunath Shivakumar, et al. ∙

research

∙ 07/18/2018

Multi-Task Unsupervised Contextual Learning for Behavioral Annotation

Unsupervised learning has been an attractive method for easily deriving ...

0 Shao-Yen Tseng, et al. ∙

research

∙ 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...

0 Tae Jin Park, et al. ∙

research

∙ 05/23/2018

Modeling Interpersonal Influence of Verbal Behavior in Couples Therapy Dyadic Interactions

Dyadic interactions among humans are marked by speakers continuously inf...

0 Sandeep Nallan Chakravarthula, et al. ∙

research

∙ 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...

0 Prashanth Gurunath Shivakumar, et al. ∙

research

∙ 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...

0 Md Nasir, et al. ∙

research

∙ 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...

0 Arindam Jati, et al. ∙

research

∙ 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...

0 Prashanth Gurunath Shivakumar, et al. ∙

research

∙ 06/14/2016

Sparsely Connected and Disjointly Trained Deep Neural Networks for Low Resource Behavioral Annotation: Acoustic Classification in Couples' Therapy

Observational studies are based on accurate assessment of human state. A...

0 Haoqi Li, et al. ∙

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