Spectrum feature parameter extracting system based on frequency

Details Spectrum feature parameter extracting system based on frequency Spectrum feature parameter extracting system based on frequency

1997-12-29

2000-04-11

Mai, Tan V.

Electrical computers: arithmetic processing and calculating

Electrical digital calculating computer

Particular function performed

704216, G06F 1715

Patent

active

060498145

ABSTRACT:
A system solves a problem of a low accuracy in a low-energy frequency area when spectrum feature parameters are extracted with the use of linear analysis of speech or audio signals and a problem of a low accuracy in formant extracting when a spectrum approximation is slanted, and increases the extracting accuracy of spectrum feature parameters with respect to any given frequency band. This system includes an input unit for receiving an input signal, a weight calculating unit for receiving a weight function impulse response, a storing unit for storing the input signal for a specified length of time, a filtering unit for filtering the input signal using the impulse response, an auto-correlation calculating unit for calculating autocorrelation of the filtered input signal, a cross-correlation calculating unit for calculating cross-correlation between the filtered input signal and the impulse response, and a spectrum feature parameter calculating unit for calculating spectrum feature parameters of the input signal using the autocorrelation and the cross-correlation.

REFERENCES:
patent: 4962536 (1990-10-01), Satoh
Labiner et al., "Digital Processing of Speed Signal: Section 8.1", pp. 398-404.
Deller et al., "Discrete-Time Processing of Speech Signals", pp. 290-331, (1993).
Tokura et al., "Quality Improvement in Low-Order Bit Pacor", pp. 1-8, (1977).
Chu et al.: "Frequency weighted linear prediction" proceedings of ICASSP 82. IEEE, 1982, May 3-5, 1982, pp. 1318-1321, vol. 2, XP002088519, 1982.
C. H. Lee: "On robust linear prediction of 1-7 speech" IEEE, May 1988, USA, vol. 36, No. 5, pp. 642-650, XP002088520, ISSN 0096-3518, pp 643, col. 2, lines 9-33.

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