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20232026
most citedImproved Decoding of Attentional Selection in Multi-Talker Environments with Self-Supervised Learned Speech Representation

1 citations · 2 across the 5 of their papers we have counts for

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Showing 2025Show all

3 papers · 1 filter

eess.AS2025

Beamforming-LLM: What, Where and When Did I Miss?

Vishal Choudhari

We present Beamforming-LLM, a system that enables users to semantically recall conversations they may have missed in multi-speaker environments. The system combines spatial audio c…

cs.SD2025

Bridging Ears and Eyes: Analyzing Audio and Visual Large Language Models to Humans in Visible Sound Recognition and Reducing Their Sensory Gap via Cross-Modal Distillation

Xilin Jiang, Junkai Wu, Vishal Choudhari +1

Audio large language models (LLMs) are considered experts at recognizing sound objects, yet their performance relative to LLMs in other sensory modalities, such as visual or audio-…

cs.SD2025★ 1 cited

AAD-LLM: Neural Attention-Driven Auditory Scene Understanding

Xilin Jiang, Sukru Samet Dindar, Vishal Choudhari +6

Auditory foundation models, including auditory large language models (LLMs), process all sound inputs equally, independent of listener perception. However, human auditory perceptio…