activity
20192021
most citedPhone Duration Modeling for Speaker Age Estimation in Children

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

collaborators

5 papers

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

Designing Neural Speaker Embeddings with Meta Learning

Manoj Kumar, Tae Jin-Park, Somer Bishop +1

Neural speaker embeddings trained using classification objectives have demonstrated state-of-the-art performance in multiple applications. Typically, such embeddings are trained on…

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

Learning Domain Invariant Representations for Child-Adult Classification from Speech

Rimita Lahiri, Manoj Kumar, Somer Bishop +1

Diagnostic procedures for ASD (autism spectrum disorder) involve semi-naturalistic interactions between the child and a clinician. Computational methods to analyze these sessions r…

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…