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20162023
most citedReverberant Sound Localization with a Robot Head Based on Direct-Path Relative Transfer Function

27 citations · 41 across the 17 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

eess.AS2021

RCT: Random Consistency Training for Semi-supervised Sound Event Detection

Nian Shao, Erfan Loweimi, Xiaofei Li

Sound event detection (SED), as a core module of acoustic environmental analysis, suffers from the problem of data deficiency. The integration of semi-supervised learning (SSL) lar…

cs.SD2021

Multi-channel Narrow-band Deep Speech Separation with Full-band Permutation Invariant Training

Changsheng Quan, Xiaofei Li

This paper addresses the problem of multi-channel multi-speech separation based on deep learning techniques. In the short time Fourier transform domain, we propose an end-to-end na…

cs.RO2021

AcousticFusion: Fusing Sound Source Localization to Visual SLAM in Dynamic Environments

Tianwei Zhang, Huayan Zhang, Xiaofei Li +3

Dynamic objects in the environment, such as people and other agents, lead to challenges for existing simultaneous localization and mapping (SLAM) approaches. To deal with dynamic e…

eess.AS2021

Microphone Array Generalization for Multichannel Narrowband Deep Speech Enhancement

Siyuan Zhang, Xiaofei Li

This paper addresses the problem of microphone array generalization for deep-learning-based end-to-end multichannel speech enhancement. We aim to train a unique deep neural network…

cs.CV2021★ 1 cited

SizeNet: Object Recognition via Object Real Size-based Convolutional Networks

Xiaofei Li, Zhong Dong

Inspired by the conclusion that humans choose the visual cortex regions corresponding to the real size of an object to analyze its features when identifying objects in the real wor…

eess.AS2021

Semi-supervised Sound Event Detection using Random Augmentation and Consistency Regularization

Xiaofei Li

Sound event detection is a core module for acoustic environmental analysis. Semi-supervised learning technique allows to largely scale up the dataset without increasing the annotat…