Bird classification algorithms: Theory and experimental results

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 5, Issue , 2004, Pages

  Kwan, C ^a   Mei, G ^a   Zhao, X ^a   Ren, Z ^a   Xu, R ^a   Stanford, V ^b   Rochet, C ^b   Aube, J ^b   Ho, K C ^c  

^a INTELLIGENT AUTOMATION INC   (United States)

^b NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY   (United States)

^c UNIVERSITY OF MISSOURI   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC DEVICES; ALGORITHMS; ARRAYS; CORRELATION METHODS; SENSORS; VECTOR QUANTIZATION;

CORRELATION MATRIX; GAUSSIAN MIXTURE MODEL (GMM); HIDDEN MARKOV MODEL (HMM); MICROPHONE ARRAYS;

MICROPHONES;

EID: 4544345188     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Wildlife strikes to civil aircraft in the United States. FAA report.
2. C. Kwan et al., "An Automated Acoustic System to Monitor and Classify Birds," Bird Strikes Conference, August, 2003.
3. S. Haykin, Neural Networks, Prentice Hall, 1989.
4. L. Rabiner and B. Juang, "Fundamentals of Speech Recognition," Prentice Hall Signal Processing Series, 1993.
5. www.math.sunysb.edu/~tony/birds/ and www.naturesongs.com/birds.html
6. L. Elliott, D. Stokes, and L. Stokes, Stokes Field Guided to Bird Songs: Eastern Region, Time Warner, 1997.
7. V. Stanford, NIST Manual on Smart Flow System, 1999.
8. D. A. Reynolds and R. C. Rose, "Robust Text-Independent Speaker Verification Using Gaussian Mixture Speaker Models," IEEE Trans. Speech and Audio Processing, vol. 3, no. 1, 1995.
9. C. Kwan et al., Phase 1 final report to the Air Force, July, 2003.