Audio source separation: solutions and problems

被引:17
|
作者
Mitianoudis, N [1 ]
Davies, ME [1 ]
机构
[1] Queen Mary Univ London, DSF & Multimedia Grp, Dept Elect Engn, London E1 4NS, England
关键词
audio source separation; subband filtering; array processing; independent component analysis; beamforming;
D O I
10.1002/acs.795
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The problem of separating out a number of audio sources observed from an array of microphones in a real room environment has received a great deal of attention in the past decade. While there are now a number of workable methods that can even deal with relatively high reverberation (IEEE Trans Audio Speech Process, 2003; 11:489-497), a number of interesting problems still remain. In this paper, the authors review the methods based around independent component analysis, discussing the various choices available in algorithm design. We then explore the issue of sensitivity to speaker movement which appears to impose fundamental limitations on BSS performance. Copyright (C) 2004 John Wiley Sons, Ltd.
引用
收藏
页码:299 / 314
页数:16
相关论文
共 50 条
  • [41] Integrating Dilated Convolution into DenseLSTM for Audio Source Separation
    Heo, Woon-Haeng
    Kim, Hyemi
    Kwon, Oh-Wook
    APPLIED SCIENCES-BASEL, 2021, 11 (02): : 1 - 19
  • [42] A FAST STEREO AUDIO SOURCE SEPARATION FOR MOVING SOURCES
    Golokolenko, Oleg
    Schuller, Gerald
    CONFERENCE RECORD OF THE 2019 FIFTY-THIRD ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, 2019, : 1931 - 1935
  • [43] AUDIO SOURCE SEPARATION USING MULTIPLE DEFORMED REFERENCES
    Souviraa-Labastie, Nathan
    Olivero, Anaik
    Vincent, Emmanuel
    Bimbot, Frederic
    2014 PROCEEDINGS OF THE 22ND EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2014, : 311 - 315
  • [44] AUDIO SOURCE SEPARATION WITH TIME-FREQUENCY VELOCITIES
    Wolf, Guy
    Mallat, Stephane
    Shamma, Shihab
    2014 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP), 2014,
  • [45] Subjective and Objective Quality Assessment of Audio Source Separation
    Emiya, Valentin
    Vincent, Emmanuel
    Harlander, Niklas
    Hohmann, Volker
    IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2011, 19 (07): : 2046 - 2057
  • [46] Iterative Monaural Audio Source Separation for Subspace Grouping
    Spiertz, Martin
    Gnann, Volker
    2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATIONS SYSTEMS (ISPACS 2008), 2008, : 102 - 105
  • [47] Fully Quantized Neural Networks for Audio Source Separation
    Cohen, Elad
    Habi, Hai Victor
    Peretz, Reuven
    Netzer, Arnon
    IEEE OPEN JOURNAL OF SIGNAL PROCESSING, 2024, 5 : 926 - 933
  • [48] Sparse coding for convolutive blind audio source separation
    Jafari, MG
    Abdallah, SA
    Plumbley, MD
    Davies, ME
    INDEPENDENT COMPONENT ANALYSIS AND BLIND SIGNAL SEPARATION, PROCEEDINGS, 2006, 3889 : 132 - 139
  • [49] GUIDING AUDIO SOURCE SEPARATION BY VIDEO OBJECT INFORMATION
    Parekh, Sanjeel
    Essid, Slim
    Ozerov, Alexey
    Duong, Ngoc Q. K.
    Perez, Patrick
    Richard, Gael
    2017 IEEE WORKSHOP ON APPLICATIONS OF SIGNAL PROCESSING TO AUDIO AND ACOUSTICS (WASPAA), 2017, : 61 - 65
  • [50] A Directional Laplacian Density for Underdetermined Audio Source Separation
    Mitianoudis, Nikolaos
    ARTIFICIAL NEURAL NETWORKS-ICANN 2010, PT I, 2010, 6352 : 450 - 459