Blind source separation based on time-frequency sparseness in the presence of spatial aliasing

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6365 LNCS, Issue , 2010, Pages 1-8

  Loesch, Benedikt ^a   Yang, Bin ^a  

^a UNIVERSITY OF STUTTGART   (Germany)

Author keywords

adaptive beamforming; Blind source separation; spatial aliasing; time frequency sparseness

Indexed keywords

ADAPTIVE BEAMFORMING; BEAM FORMERS; DISTANCE METRICS; ESTIMATION TECHNIQUES; FREQUENCY BINS; MICROPHONE ARRAYS; MUSICAL NOISE; NOVEL METHODS; OBSERVATION VECTORS; OFF-LINE ALGORITHM; OFFLINE; ON-LINE ALGORITHMS; PHASE DIFFERENCE; REAL-WORLD SCENARIO; SEPARATION PERFORMANCE; SPATIAL ALIASING; SPATIAL EXTENT; TIME FREQUENCY; UNMIXING;

BEAMFORMING; PROGRAM PROCESSORS; SIGNAL ANALYSIS;

BLIND SOURCE SEPARATION;

EID: 78349240804     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15995-4_1     Document Type: Conference Paper

References (11)

1. Cermak, J., Araki, S., Sawada, H., Makino, S.: Blind source separation based on a beamformer array and time frequency binary masking. In: Proc. ICASSP (2007)
2. Araki, S., Sawada, H., Mukay, R., Makino, S.: Underdetermined blind sparse source separation of arbitrarily arranged multiple sensors. Signal Processing 87(8), 1833-1847 (2007)
3. Sawada, H., Araki, S., Mukay, R., Makino, S.: Grouping separated frequency components by estimating propagation model parameters in frequency-domain blind source separation. IEEE Transactions on Audio, Speech and Language Processing 15(5), 1592-1604 (2007)
4. Araki, S., Nakatani, T., Sawada, H., Makino, S.: Stereo source separation and source counting with MAP estimation with Dirichlet prior considering spatial aliasing problem. In: Adali, T., Jutten, C., Romano, J.M.T., Barros, A.K. (eds.) ICA 2009. LNCS, vol. 5441, pp. 742-750. Springer, Heidelberg (2009)
5. Nesta, F., Omologo, M., Svaizer, P.: A novel robust solution to the permutation problem based on a joint multiple TDOA estimation. In: Proc. International Workshop for Acoustic Echo and Noise Control, IWAENC (2008)
6. Chami, Z.E., Guerin, A., Pham, A., Serviere, C.: A phase-based dual microphone method to count and locate audio sources in reverberant rooms. In: Proc. IEEE Workshop on Applications of Signal processing to Audio and Acoustics, WASPAA (2009)
7. Rickard, S., Balan, R., Rosca, J.: Real-time time-frequency based blind source separation. In: Proc. ICA (2001)
8. Loesch, B., Yang, B.: Online blind source separation based on time-frequency sparseness. In: Proc. ICASSP (2009)
9. Cummins, F., Grimaldi, M., Leonard, T., Simko, J.: The CHAINS corpus (characterizing individual speakers) (2006), http://chains.ucd.ie/
10. Real World Computing Partnership, RWCP Sound Scene Database in Real Acoustic Environment (2001), http://tosa.mri.co.jp/sounddb/indexe.htm
11. Lehmann, E.: Image-source method for room impulse response simulation, room acoustics (2008), http://www.watri.org.au/~ericl/ism-code.html