341 citations · 501 across the 66 of their papers we have counts for
6 papers · 1 filter
Integrating Language Models into Listened and Imagined Speech Decoding from MEG
Maryam Maghsoudi, Sai Samrat Kankanala, Shihab A. Shamma +1
Decoding imagined speech is an important goal for brain-computer interfaces but remains challenging due to weak neural responses, low signal-to-noise ratio, and limited imagined-sp…
JASPER: Joint Audio and Speech Pre-trained Encoder Representations
Geeth George, Ameenudeen P E, Hrishikesh H Pillai +1
Self-supervised learning (SSL) for speech and audio has largely progressed along separate tracks: speech models emphasise time-domain prediction, whereas audio representation learn…
BiG-SURE - Bipartite Graph for Semantic Uncertainty and Reliability Estimation of LLMs
Debarpan Bhattacharya, Malay Phadke, Sriram Ganapathy
Reliable uncertainty estimation is a crucial requirement for deploying large language models (LLMs) and vision-language models (VLMs) in safety-critical settings, especially when t…
ULTRAS -- Unified Learning of Transformer Representations for Audio and Speech Signals
Ameenudeen P E, Charumathi Narayanan, Sriram Ganapathy
Self-supervised learning (SSL) has driven impressive advances in speech processing by adopting time-domain prediction objectives, while audio representation learning frameworks ope…
Benchmarking Speech Systems for Frontline Health Conversations: The DISPLACE-M Challenge
Dhanya E, Ankita Meena, Manas Nanivadekar +11
The DIarization and Speech Processing for LAnguage understanding in Conversational Environments - Medical (DISPLACE-M) challenge introduces a conversational AI benchmark for unders…
A Mixture-of-Experts Model for Multimodal Emotion Recognition in Conversations
Soumya Dutta, Smruthi Balaji, Sriram Ganapathy
Emotion Recognition in Conversations (ERC) presents unique challenges, requiring models to capture the temporal flow of multi-turn dialogues and to effectively integrate cues from…