Bibliography

ATR Tech. Rep.1988

Takeda, K., Sagisaka, Y., Katagiri, S., Abe, M., and Kuwabara, H.
Speech Database User's Manual, ATR Technical Report TR-I-0028, 1988.

Boll1979

Boll, S. F.
``Suppression of Acoustic Noise in Speech using Spectral Subtraction,''
IEEE Trans. on Acoustic, Speech, and Signal Processing, Vol. ASSP-27, April, 1979.

Bregman1990

Bregman, A.S.
Auditory Scene Analysis: The Perceptual Organization of Sound.
MIT Press, Cambridge, Mass., 1990.

Bregman1993

Bregman, A.S.
``Auditory Scene Analysis: hearing in complex environments,'' in Thinking in Sounds, (Eds. S. McAdams and E. Bigand), pp. 10-36, Oxford University Press, New York, 1993.

Brown1992

Brown, G.J.
``Computational Auditory Scene Analysis: A Representational Approach,''
Ph.D. Thesis, University of Sheffield, 1992.

Brown and Hwang1992

Brown, R.G., Hwang, P.Y.C.,
``Introduction to Random Signals and Applied Kalman Filtering,''
2nd ed. Wiley, New York, Chapters 5-6, pp. 210-288, 1992.

Cooke1993

Cooke, M. P.
``Modeling Auditory Processing and Organization,''
Ph.D. Thesis, University of Sheffield, 1991 (Cambridge University Press, Cambridge, 1993).

de Cheveigne1993

de Cheveigne, A.
``Separation of concurrent harmonic sounds: Fundamental frequency estimation and a time-domain cancellation model of auditory processing,''
J. Acoust. Soc. Am. 93, 3271-3290, 1993.

Ellis1996

Ellis, D. P. W.
``Prediction-driven computational auditory scene analysis,''
Ph.D. thesis, MIT Media Lab., 1996.

Furui and Sondhi1991

Furui, S and Sondhi, M. M.
Advances in Speech Signal Processing,
New York Marcel Dekker, Inc., 1991.

Hansen and Nandkumar1995

Hansen, J. H. L. and Nandkumar, S.
``Robust estimation of speech in noisy backgrounds based on aspects of the auditory process,''
J. Acoust. Soc. Am. 97(6), June 1995.

Junqua and Haton1996

Junqua, J. C. and Haton, J. P.
ROBUSTNESS IN AUTOMATIC SPEECH RECOGNITION, - fundamentals and applications -,
Kluwer Academic Publishers, Boston, 1996

Kashino and Tanaka1993

Kashino, K. and Tanaka, T.,
``A sound source separation system with the ability of automatic tone modeling,''
Proc. of Int. Computer Music Conference, pp. 248-255, 1993.

Mizumachi and Akagi1999

Mizumachi, M. and Akagi, M.
``An objective distortion estimator for hearing aids and its application to noise reduction,''
In Proc. Eurospeech'99, vol. 6, pp. 2619-2622, Budapest, Hungary, Sept. 1999.

Nakatani et al.1995a

Nakatani, T. and Okuno, H. G.,
``A computational model of sound stream segregation with multi-agent paradigm,,''
In Proc. of ICASSP-95, Vol. 4, pp. 2671-2674, May 1995.

Nakatani et al.1995b

Nakatani, T., Okuno, H. G., and Kawabata, T.,
``Residue-driven Architecture for Computational Auditory Scene Analysis,''
In Proc. of IJCAI-95, pp. 165-172, August 1995.

Papoulis1977

Papoulis, A.
Signal Analysis.
McGraw-Hill, New York, 1977.

Papoulis1991

Papoulis, A.
Probability, Random Variables, and Stochastic Process.
Third Edition, McGraw-Hill, New York, 1991.

Shamsunder and Giannakis1997

Shamsunder, S. and Giannakis, G. B.
``Multichannel Blind Signal Separation and Recognition,''
IEEE Trans. on Speech and Audio Processing, vol. 5, No. 6, Nov. 1997.

Unoki and Akagi1997

Unoki, M. and Akagi, M.
``A Method of Signal Extraction from Noise-Added Signal,''
Electronics and Communications in Japan, Part 3, Vol. 80, No. 11, pp. 1-11, 1997 (in English), Translated from IEICE, vol. J80-A, no. 3, March 1997 (in Japanese).

Unoki and Akagi1999a

Unoki, M. and Akagi, M.
``A method of signal extraction from noisy signal based on Auditory Scene Analysis,''
Speech Communication 27, pp. 261-279, April 1999.

Unoki and Akagi1999b

Unoki, M. and Akagi, M.
``Segregation of vowel in background noise using the model of segregating two acoustic sources based on auditory scene analysis,''
In Proc. EuroSpeech'99, vol. 6, pp. 2575-2578, Budapest, Hungary, Sept. 1999.