activity
20172023
most citedDeep Neural Networks for Multiple Speaker Detection and Localization

204 citations · 231 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SD2023★ 6 cited

Directional Source Separation for Robust Speech Recognition on Smart Glasses

Tiantian Feng, Ju Lin, Yiteng Huang +7

Modern smart glasses leverage advanced audio sensing and machine learning technologies to offer real-time transcribing and captioning services, considerably enriching human experie…

cs.SD2022

Egocentric Audio-Visual Noise Suppression

Roshan Sharma, Weipeng He, Ju Lin +3

This paper studies audio-visual noise suppression for egocentric videos -- where the speaker is not captured in the video. Instead, potential noise sources are visible on screen wi…

cs.SD2020★ 2 cited

IEEE SLT 2021 Alpha-mini Speech Challenge: Open Datasets, Tracks, Rules and Baselines

Yihui Fu, Zhuoyuan Yao, Weipeng He +9

The IEEE Spoken Language Technology Workshop (SLT) 2021 Alpha-mini Speech Challenge (ASC) is intended to improve research on keyword spotting (KWS) and sound source location (SSL)…

eess.AS2019

Spatial Attention for Far-field Speech Recognition with Deep Beamforming Neural Networks

Weipeng He, Lu Lu, Biqiao Zhang +3

In this paper, we introduce spatial attention for refining the information in multi-direction neural beamformer for far-field automatic speech recognition. Previous approaches of n…

cs.RO2019★ 19 cited

MuMMER: Socially Intelligent Human-Robot Interaction in Public Spaces

Mary Ellen Foster, Bart Craenen, Amol Deshmukh +27

In the EU-funded MuMMER project, we have developed a social robot designed to interact naturally and flexibly with users in public spaces such as a shopping mall. We present the la…

cs.SD2017★ 204 cited

Deep Neural Networks for Multiple Speaker Detection and Localization

Weipeng He, Petr Motlicek, Jean-Marc Odobez

We propose to use neural networks for simultaneous detection and localization of multiple sound sources in human-robot interaction. In contrast to conventional signal processing te…