4 papers
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…
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…
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…
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…