ISCA Tutorial and Research Workshop on Statistical and Perceptual Audio Processing ICC Jeju, Korea October 3, 2004

Sound Source Localization and Separation Based on the EM Algorithm

Futoshi Asano, Hideki Asoh

Information Technology Res. Inst., AIST, Tsukuba, Japan

A method of sound localization using the EM algorithm has been proposed by Feder and Weinstein [1] and Miller and Fuhrmann [2]. In this paper, the signal separation aspect of this algorithm is analyzed and is extended so that it can be applied to separation of signals from moving sound sources.

References

1. M. Feder and E. Weinstein, "Parameter estimation of superimposed signals using the EM algorithm," IEEE Trans. Acoust. Speech, Signal Processing, vol. 36, no. 4, pp. 477-489, 1988.
2. M. Miller and D. Fuhrmann, "Maximum-likelihood narrowband direction finding and the EM algorithm," IEEE Trans. Acoust. Speech, Signal Processing, vol. 38, no. 9, pp. 1560-1577, 1990.

Full Paper

Bibliographic reference.  Asano, Futoshi / Asoh, Hideki (2004): "Sound source localization and separation based on the EM algorithm", In SAPA-2004, paper 37.