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ICASSP
2011
IEEE
12 years 11 months ago
Promoting convergence in multi-channel blind signal separation using PNLMS
The proportionate normalized least-mean squares (PNLMS) adaptation algorithm exploits the sparse nature of acoustic impulse responses and assigns adaptation gain proportional to t...
Muhammad Z. Ikram
TNN
2008
122views more  TNN 2008»
13 years 7 months ago
Two-Microphone Separation of Speech Mixtures
Separation of speech mixtures, often referred to as the cocktail party problem, has been studied for decades. In many source separation tasks, the separation method is limited by t...
Michael Syskind Pedersen, DeLiang Wang, Jan Larsen...
ICA
2010
Springer
13 years 7 months ago
The 2010 Signal Separation Evaluation Campaign (SiSEC2010): Audio Source Separation
Abstract. This paper introduces the audio part of the 2010 communitybased Signal Separation Evaluation Campaign (SiSEC2010). Seven speech and music datasets were contributed, which...
Shoko Araki, Alexey Ozerov, Vikrham Gowreesunker, ...
ICA
2007
Springer
14 years 1 months ago
The Role of High Frequencies in Convolutive Blind Source Separation of Speech Signals
Abstract. In this paper, we investigate the importance of the high frequencies in the problem of convolutive blind source separation (BSS) of speech signals. In particular, we focu...
Maria G. Jafari, Mark D. Plumbley
TASLP
2010
96views more  TASLP 2010»
13 years 2 months ago
Evaluating Source Separation Algorithms With Reverberant Speech
This paper examines the performance of several source separation systems on a speech separation task for which human intelligibility has previously been measured. For anechoic mixt...
Michael I. Mandel, S. Bressler, Barbara G. Shinn-C...