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20212026
most citedLLM-Enhanced Dialogue Management for Full-Duplex Spoken Dialogue Systems

2 citations · 3 across the 5 of their papers we have counts for

collaborators

6 papers

eess.AS2026

A Harness for Synthesizing Diverse Naturalistic Full-Duplex Conversations

Matthew Sun, Vinay Kothapally, Meng Yu +4

Full-duplex dialogue systems, which listen while speaking, must distinguish a completed turn from a pause within a turn and an interruption that requests a turn from a brief acknow…

cs.CL2025★ 2 cited

LLM-Enhanced Dialogue Management for Full-Duplex Spoken Dialogue Systems

Hao Zhang, Weiwei Li, Rilin Chen +3

Achieving full-duplex communication in spoken dialogue systems (SDS) requires real-time coordination between listening, speaking, and thinking. This paper proposes a semantic voice…

eess.AS2024

Neural Ambisonic Encoding For Multi-Speaker Scenarios Using A Circular Microphone Array

Yue Qiao, Vinay Kothapally, Meng Yu +1

Spatial audio formats like Ambisonics are playback device layout-agnostic and well-suited for applications such as teleconferencing and virtual reality. Conventional Ambisonic enco…

cs.SD2023

SpatialCodec: Neural Spatial Speech Coding

Zhongweiyang Xu, Yong Xu, Vinay Kothapally +3

In this work, we address the challenge of encoding speech captured by a microphone array using deep learning techniques with the aim of preserving and accurately reconstructing cru…

eess.AS2022★ 1 cited

Deep Neural Mel-Subband Beamformer for In-car Speech Separation

Vinay Kothapally, Yong Xu, Meng Yu +2

While current deep learning (DL)-based beamforming techniques have been proved effective in speech separation, they are often designed to process narrow-band (NB) frequencies indep…

eess.AS2021

Joint Neural AEC and Beamforming with Double-Talk Detection

Vinay Kothapally, Yong Xu, Meng Yu +2

Acoustic echo cancellation (AEC) in full-duplex communication systems eliminates acoustic feedback. However, nonlinear distortions induced by audio devices, background noise, rever…