Distance Measures for Speech Processing

IEEE Transactions on Acoustics, Speech, and Signal Processing

Volumn 24, Issue 5, 1976, Pages 380-391

  Gray, Augustine H ^a   Markel, John D ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b Speech Communications Research Laboratory Inc ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

SIGNAL PROCESSING;

SPEECH PROCESSING;

SPEECH;

METHODOLOGY; SPECTROMETRY; SPEECH;

EID: 0017097474     PISSN: 00963518     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASSP.1976.1162849     Document Type: Article

References (15)

1. F. Itakura, “Minimum prediction residual principle applied to speech recognition,” IEEE Trans. Acoust., Speech, Signal Processing (Special Issue on IEEE Symposium on Speech Recognition), vol. ASSP-23, pp. 67-72, Feb. 1975.
2. B. S. Atal, “Effectiveness of linear prediction characteristics of the speech wave for automatic speaker identification and verification,” J. Acoust. Soc. Amer., vol. 55, pp. 1304-1312, June 1974.
3. L. L. Pfeifer, “Inverse filter for speaker identification,” Speech Communications Res. Lab., Santa Barbara, CA, Final Rep. RADC-TR-74-214,1974.
4. S. F. Boll, “Waveform comparison using the linear prediction residual,” Dep. Computer Science, Univ. Utah, Salt Lake City, unpublished memo.
5. H. Wakita, “Residual energy of linear prediction applied to vowel and speaker recognition,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-24, pp. 270-271, June 1976.
6. D. T. Magill, “Adaptive speech compression for packet communication systems,” in Conf. Rec., 1973 IEEE Telecommunications Conf. Proceedings may be obtained directly from IEEE Service Center, 445 Hoes Lane, Piscataway, NJ 08854. Order number: 73CHO805-2, 29D, 1-5.
7. J. Makhoul, R. Viswanathan, L. Cosell, and W. Russell, “Natural communication with computers: Speech compression research at BBN,” Bolt Beranek and Newman, Inc., Cambridge, MA, Rep. 2976, vol. II, Dec. 1974.
8. J. D. Markel and A. H. Gray, Jr., Linear Prediction of Speech. New York: Springer-Verlag, 1976.
9. A. V. Oppenheim, R. W. Schafer, and T. C. Stockham, “Nonlinear filtering of multiplied and convolved signals,” Proc. IEEE, vol. 56, pp. 1264-1291, Aug. 1968.
10. D. F. Morrison, Multivariate Statistical Methods. New York: McGraw-Hill, 1967, pp. 221-258.
11. J. D. Markel and A. H. Gray, Jr., “On autocorrelation with application to speech analysis,” IEEE Trans. Audio Electroacoust., vol. AU-21, pp. 69-79, Apr. 1973.
12. F. Itakura and S. Saito, “A statistical method for estimation of speech spectral density and formant frequencies,” Electron. Commun. Japan, vol. 53-A, pp. 36-43,1970; also in Speech Synthesis, J. L. Flanagan and L. R. Rabiner,Ed. Stroudsburg, PA: Dowden, Hutchinson, and Ross, 1973, pp. 293-304.
13. J. L. Flanagan, “Difference limen for the intensity of a vowel sound,” J. Acoust. Soc. Amer., vol. 27, pp. 1223-1225, 1955.
14. J. L. Flanagan, Speech Analysis Synthesis and Perception, 2nd ed. New York: Springer-Verlag, 1972.
15. J. L. Flanagan, “A difference limen for vowel formant frequency,” J. Acoust. Soc. Amer., vol. 27, pp. 613-716, 1955.