activity
20192023
most citedA Context-Aware Computational Approach for Measuring Vocal Entrainment in Dyadic Conversations

1 citations · 3 across the 5 of their papers we have counts for

collaborators

6 papers

eess.AS2023★ 1 cited

Robust Self Supervised Speech Embeddings for Child-Adult Classification in Interactions involving Children with Autism

Rimita Lahiri, Tiantian Feng, Rajat Hebbar +3

We address the problem of detecting who spoke when in child-inclusive spoken interactions i.e., automatic child-adult speaker classification. Interactions involving children are ri…

eess.AS2022★ 1 cited

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

Rimita Lahiri, Md Nasir, Catherine Lord +2

Vocal entrainment is a social adaptation mechanism in human interaction, knowledge of which can offer useful insights to an individual's cognitive-behavioral characteristics. We pr…

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.AS2020

Meta-learning with Latent Space Clustering in Generative Adversarial Network for Speaker Diarization

Monisankha Pal, Manoj Kumar, Raghuveer Peri +5

The performance of most speaker diarization systems with x-vector embeddings is both vulnerable to noisy environments and lacks domain robustness. Earlier work on speaker diarizati…

eess.AS2019

Meta-learning for robust child-adult classification from speech

Nithin Rao Koluguri, Manoj Kumar, So Hyun Kim +2

Computational modeling of naturalistic conversations in clinical applications has seen growing interest in the past decade. An important use-case involves child-adult interactions…

eess.AS2019

Speaker diarization using latent space clustering in generative adversarial network

Monisankha Pal, Manoj Kumar, Raghuveer Peri +5

In this work, we propose deep latent space clustering for speaker diarization using generative adversarial network (GAN) backprojection with the help of an encoder network. The pro…