Issues in frequency domain blind source separation - A critical revisit

被引：0

作者：

Robledo-Amuncio, E ^{[1
]}

Juang, BH ^{[1
]}

机构：

[1] Georgia Inst Technol, Ctr Signal & Image Proc, Atlanta, GA 30332 USA

来源：

2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING | 2005年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

One of the most important problems in frequency domain blind source separation (FDBSS) is the inconsistency across frequency in the permutation of the source estimates. According to previous studies, this problem can be reduced significantly by constraining the length of the unmixing filters. This improvement has been attributed to the smoothening of the unmixing frequency response. In this paper we study the effect of modifying these length constraints taking into account the circularity of the IDFT, and we show that the smoothening of the unmixing frequency response alone can not account for the improvements in performance.

引用

页码：281 / 284

页数：4

共 50 条

[21] Development of a speech separation system using frequency domain blind source separation technique [J].

Sharma, Bhuvnesh Kumar ;

Kumar, Mithilesh ;

Meena, R. S. .

MULTIMEDIA TOOLS AND APPLICATIONS, 2024, 83 (11) :32857-32872

[22] Development of a speech separation system using frequency domain blind source separation technique [J].

Bhuvnesh Kumar Sharma ;

Mithilesh Kumar ;

R. S. Meena .

Multimedia Tools and Applications, 2024, 83 :32857-32872

[23] Underdetermined blind delayed source separation based on single source intervals in frequency domain [J].

Xiao, Ming ;

Xie, Sheng-Li ;

Fu, Yu-Li .

Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2007, 35 (12) :2279-2283

[24] Frequency domain blind source separation of a reduced amount of data using frequency normalization [J].

Robledo-Arnuncio, Enrique ;

Sawada, Hiroshi ;

Makino, Shoji .

2006 IEEE International Conference on Acoustics, Speech and Signal Processing, Vols 1-13, 2006, :5695-5698

[25] An online blind source separation for convolutive acoustic signals in frequency-domain [J].

Wu Wenyan ;

Zhang Liming .

ADVANCES IN NATURAL COMPUTATION, PT 1, 2006, 4221 :451-460

[26] A fast and efficient frequency-domain method for convolutive Blind Source Separation [J].

Xie, Peng ;

Grant, Steven L. .

2008 IEEE REGION 5 CONFERENCE, 2008, :138-141

[27] Frequency domain approach to blind source separation in ECG monitoring by wearable system [J].

Milanesi, M ;

Vanello, N ;

Positano, V ;

Santarelli, MF ;

Paradiso, R ;

De Rossi, D ;

Landini, L .

COMPUTERS IN CARDIOLOGY 2005, VOL 32, 2005, 32 :767-770

[28] Convolutive blind source separation for more than two sources in the frequency domain [J].

Sawada, H ;

Mukai, R ;

Araki, S ;

Makino, S .

2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL III, PROCEEDINGS: IMAGE AND MULTIDIMENSIONAL SIGNAL PROCESSING SPECIAL SESSIONS, 2004, :885-888

[29] The fundamental limitation of frequency domain blind source separation for convolutive mixtures of speech [J].

Araki, S ;

Mukai, R ;

Makino, S ;

Nishikawa, T ;

Saruwatari, H .

IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, 2003, 11 (02) :109-116

[30] A robust approach to the permutation problem of frequency-domain blind source separation [J].

Sawada, H ;

Mukai, R ;

Araki, S ;

Makino, S .

2003 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL V, PROCEEDINGS: SENSOR ARRAY & MULTICHANNEL SIGNAL PROCESSING AUDIO AND ELECTROACOUSTICS MULTIMEDIA SIGNAL PROCESSING, 2003, :381-384

← 1 2 3 4 5 →