Non-negative matrix factorization-based subband decomposition for acoustic source localization

A novel non-negative matrix factorisation (NMF)-based subband decomposition in frequency–spatial domain for acoustic source localisation using a microphone array is introduced. The proposed method decomposes source and noise subband and emphasises source dominant frequency bins for more accurate source representation. By employing NMF, delay basis vectors and their subband information in frequency–spatial domain for each frame is extracted. The proposed algorithm is evaluated in both simulated noise and real noise with a speech corpus database. Experimental results clearly indicate that the algorithm performs more accurately than other conventional algorithms under both reverberant and noisy acoustic environments.

[1]  H. Sebastian Seung,et al.  Learning the parts of objects by non-negative matrix factorization , 1999, Nature.

[2]  P. Smaragdis,et al.  Non-negative matrix factorization for polyphonic music transcription , 2003, 2003 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (IEEE Cat. No.03TH8684).

[3]  Benesty,et al.  Adaptive eigenvalue decomposition algorithm for passive acoustic source localization , 2000, The Journal of the Acoustical Society of America.

[4]  Seiichi Nakagawa,et al.  Automatic estimation of position and orientation of an acoustic source by a microphone array network. , 2009, The Journal of the Acoustical Society of America.

[5]  R. O. Schmidt,et al.  Multiple emitter location and signal Parameter estimation , 1986 .

[6]  Masafumi Nishimura,et al.  DOA Estimation with Local-Peak-Weighted CSP , 2010, EURASIP J. Adv. Signal Process..

[7]  Mikkel N. Schmidt,et al.  Non-negative Matrix Factorization , 2020, Definitions.

[8]  Yi Hu,et al.  Subjective comparison and evaluation of speech enhancement algorithms , 2007, Speech Commun..

[9]  Hanseok Ko,et al.  Selective Background Adaptation Based Abnormal Acoustic Event Recognition for Audio Surveillance , 2012, 2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance.

[10]  S. Godsill,et al.  The Institution of Engineering and Technology Seminar on Target Tracking and Data Fusion , 2008 .