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Xiaofei Li

16 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author8
  • middle author1
  • last author6

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.SD9
  • eess.AS4
  • cs.CV1
  • cs.RO1
  • eess.SP1
same name
  • Xiaofei Li — 5 papers, h 8
  • Xiaofei Li — 5 papers
  • Xiaofei Li — 3 papers
  • Xiaofei Li — 2 papers, h 5
  • Xiaofei Li — 1 paper
  • Xiaofei Li — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182022
most citedReverberant Sound Localization with a Robot Head Based on Direct-Path Relative Transfer Function

27 citations · 34 across the 11 of their papers we have counts for

collaborators
Showing eess.ASShow all

4 papers · 1 filter

eess.AS2022★ 1 cited

McNet: Fuse Multiple Cues for Multichannel Speech Enhancement

Yujie Yang, Changsheng Quan, Xiaofei Li

In multichannel speech enhancement, both spectral and spatial information are vital for discriminating between speech and noise. How to fully exploit these two types of information…

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…

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…

eess.AS2020

Sub-Band Knowledge Distillation Framework for Speech Enhancement

Xiang Hao, Shixue Wen, Xiangdong Su +3

In single-channel speech enhancement, methods based on full-band spectral features have been widely studied. However, only a few methods pay attention to non-full-band spectral fea…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.