115 citations · 433 across the 30 of their papers we have counts for
16 papers · 1 filter
SpatialNet: Extensively Learning Spatial Information for Multichannel Joint Speech Separation, Denoising and Dereverberation
Changsheng Quan, Xiaofei Li
This work proposes a neural network to extensively exploit spatial information for multichannel joint speech separation, denoising and dereverberation, named SpatialNet. In the sho…
NBC2: Multichannel Speech Separation with Revised Narrow-band Conformer
Changsheng Quan, Xiaofei Li
This work proposes a multichannel narrow-band speech separation network. In the short-time Fourier transform (STFT) domain, the proposed network processes each frequency independen…
Multichannel Speech Separation with Narrow-band Conformer
Changsheng Quan, Xiaofei Li
This work proposes a multichannel speech separation method with narrow-band Conformer (named NBC). The network is trained to learn to automatically exploit narrow-band speech separ…
SRP-DNN: Learning Direct-Path Phase Difference for Multiple Moving Sound Source Localization
Bing Yang, Hong Liu, Xiaofei Li
Multiple moving sound source localization in real-world scenarios remains a challenging issue due to interaction between sources, time-varying trajectories, distorted spatial cues,…
Learning Deep Direct-Path Relative Transfer Function for Binaural Sound Source Localization
Bing Yang, Hong Liu, Xiaofei Li
Direct-path relative transfer function (DP-RTF) refers to the ratio between the direct-path acoustic transfer functions of two microphone channels. Though DP-RTF fully encodes the…
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…
Reverberant Sound Localization with a Robot Head Based on Direct-Path Relative Transfer Function
Xiaofei Li, Laurent Girin, Fabien Badeig +1
This paper addresses the problem of sound-source localization (SSL) with a robot head, which remains a challenge in real-world environments. In particular we are interested in loca…
Online Monaural Speech Enhancement Using Delayed Subband LSTM
Xiaofei Li, Radu Horaud
This paper proposes a delayed subband LSTM network for online monaural (single-channel) speech enhancement. The proposed method is developed in the short time Fourier transform (ST…
Narrow-band Deep Filtering for Multichannel Speech Enhancement
Xiaofei LI, Radu Horaud
In this paper, we address the problem of multichannel speech enhancement in the short-time Fourier transform (STFT) domain. A long short-time memory (LSTM) network takes as input a…
Expectation-Maximization for Speech Source Separation Using Convolutive Transfer Function
Xiaofei Li, Laurent Girin, Radu Horaud
This paper addresses the problem of under-determinded speech source separation from multichannel microphone singals, i.e. the convolutive mixtures of multiple sources. The time-dom…
A cascaded multiple-speaker localization and tracking system
Xiaofei Li, Yutong Ban, Laurent Girin +2
This paper presents an online multiple-speaker localization and tracking method, as the INRIA-Perception contribution to the LOCATA Challenge 2018. First, the recursive least-squar…
Multichannel Online Dereverberation based on Spectral Magnitude Inverse Filtering
Xiaofei Li, Laurent Girin, Sharon Gannot +1
This paper addresses the problem of multichannel online dereverberation. The proposed method is carried out in the short-time Fourier transform (STFT) domain, and for each frequenc…
Online Localization and Tracking of Multiple Moving Speakers in Reverberant Environments
Xiaofei Li, Yutong Ban, Laurent Girin +2
We address the problem of online localization and tracking of multiple moving speakers in reverberant environments. The paper has the following contributions. We use the direct-pat…
Multichannel Speech Separation and Enhancement Using the Convolutive Transfer Function
Xiaofei Li, Laurent Girin, Sharon Gannot +1
This paper addresses the problem of speech separation and enhancement from multichannel convolutive and noisy mixtures, \emph{assuming known mixing filters}. We propose to perform…
Multiple-Speaker Localization Based on Direct-Path Features and Likelihood Maximization with Spatial Sparsity Regularization
Xiaofei Li, Laurent Girin, Sharon Gannot +1
This paper addresses the problem of multiple-speaker localization in noisy and reverberant environments, using binaural recordings of an acoustic scene. A Gaussian mixture model (G…
Estimation of the Direct-Path Relative Transfer Function for Supervised Sound-Source Localization
Xiaofei Li, Laurent Girin, Radu Horaud +1
This paper addresses the problem of binaural localization of a single speech source in noisy and reverberant environments. For a given binaural microphone setup, the binaural respo…