5 papers
How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures
Abhijit Sinha, Hemant Kumar Kathania, Mohit Joshi +3
Self-supervised learning (SSL) models have become a central component of modern speech processing systems, as they enable the learning of rich acoustic representations without reli…
Layer-Wise Analysis of Self-Supervised Representations for Age and Gender Classification in Children's Speech
Abhijit Sinha, Harishankar Kumar, Mohit Joshi +3
Children's speech presents challenges for age and gender classification due to high variability in pitch, articulation, and developmental traits. While self-supervised learning (SS…
Detecting and Mitigating Bias in LLMs through Knowledge Graph-Augmented Training
Rajeev Kumar, Harishankar Kumar, Kumari Shalini
Large language models have revolutionized natural language processing with their surprising capability to understand and generate human-like text. However, many of these models inh…
Leveraging Knowledge Graphs and LLMs for Context-Aware Messaging
Rajeev Kumar, Harishankar Kumar, Kumari Shalini
Personalized messaging plays an essential role in improving communication in areas such as healthcare, education, and professional engagement. This paper introduces a framework tha…
LLM-Powered Knowledge Graphs for Enterprise Intelligence and Analytics
Rajeev Kumar, Kumar Ishan, Harishankar Kumar +1
Disconnected data silos within enterprises obstruct the extraction of actionable insights, diminishing efficiency in areas such as product development, client engagement, meeting p…