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