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20132023
most citedAutomated Evaluation Of Psychotherapy Skills Using Speech And Language Technologies

102 citations · 746 across the 75 of their papers we have counts for

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Showing 2021Show all

11 papers · 1 filter

cs.CV2021★ 1 cited

Understanding of Emotion Perception from Art

Digbalay Bose, Krishna Somandepalli, Souvik Kundu +3

Computational modeling of the emotions evoked by art in humans is a challenging problem because of the subjective and nuanced nature of art and affective signals. In this paper, we…

cs.CL2021★ 3 cited

Cross Domain Emotion Recognition using Few Shot Knowledge Transfer

Justin Olah, Sabyasachee Baruah, Digbalay Bose +1

Emotion recognition from text is a challenging task due to diverse emotion taxonomies, lack of reliable labeled data in different domains, and highly subjective annotation standard…

cs.CL2021★ 11 cited

Representation of professions in entertainment media: Insights into frequency and sentiment trends through computational text analysis

Sabyasachee Baruah, Krishna Somandepalli, Shrikanth Narayanan

Societal ideas and trends dictate media narratives and cinematic depictions which in turn influences people's beliefs and perceptions of the real world. Media portrayal of culture,…

eess.AS2021★ 1 cited

Phone Duration Modeling for Speaker Age Estimation in Children

Prashanth Gurunath Shivakumar, Somer Bishop, Catherine Lord +1

Automatic inference of important paralinguistic information such as age from speech is an important area of research with numerous spoken language technology based applications. Sp…

eess.AS2021★ 2 cited

Perceptual-based deep-learning denoiser as a defense against adversarial attacks on ASR systems

Anirudh Sreeram, Nicholas Mehlman, Raghuveer Peri +2

In this paper we investigate speech denoising as a defense against adversarial attacks on automatic speech recognition (ASR) systems. Adversarial attacks attempt to force misclassi…

eess.AS2021★ 102 cited

Automated Evaluation Of Psychotherapy Skills Using Speech And Language Technologies

Nikolaos Flemotomos, Victor R. Martinez, Zhuohao Chen +13

With the growing prevalence of psychological interventions, it is vital to have measures which rate the effectiveness of psychological care to assist in training, supervision, and…

eess.AS2021

Front-end Diarization for Percussion Separation in Taniavartanam of Carnatic Music Concerts

Nauman Dawalatabad, Jilt Sebastian, Jom Kuriakose +3

Instrument separation in an ensemble is a challenging task. In this work, we address the problem of separating the percussive voices in the taniavartanam segments of Carnatic music…

eess.AS2021

End-to-End Neural Systems for Automatic Children Speech Recognition: An Empirical Study

Prashanth Gurunath Shivakumar, Shrikanth Narayanan

A key desiderata for inclusive and accessible speech recognition technology is ensuring its robust performance to children's speech. Notably, this includes the rapidly advancing ne…

cs.CL2021★ 1 cited

Confusion2vec 2.0: Enriching Ambiguous Spoken Language Representations with Subwords

Prashanth Gurunath Shivakumar, Panayiotis Georgiou, Shrikanth Narayanan

Word vector representations enable machines to encode human language for spoken language understanding and processing. Confusion2vec, motivated from human speech production and per…

cs.CL2021★ 39 cited

Automated Quality Assessment of Cognitive Behavioral Therapy Sessions Through Highly Contextualized Language Representations

Nikolaos Flemotomos, Victor R. Martinez, Zhuohao Chen +3

During a psychotherapy session, the counselor typically adopts techniques which are codified along specific dimensions (e.g., 'displays warmth and confidence', or 'attempts to set…

eess.AS2021

A Review of Speaker Diarization: Recent Advances with Deep Learning

Tae Jin Park, Naoyuki Kanda, Dimitrios Dimitriadis +3

Speaker diarization is a task to label audio or video recordings with classes that correspond to speaker identity, or in short, a task to identify "who spoke when". In the early ye…