Noise compensation in speech recognition apparatus

Electrical audio signal processing systems and devices – One-way audio signal program distribution – Public address system

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381 47, G10L 708

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active

048978787

ABSTRACT:
A method and apparatus for noise suppression for speech recognition systems which employs the principle of a least means square estimation which is implemented with conditional expected values. Essentially, according to this method, one computes a series of optimal estimators which estimators and their variances are then employed to implement a noise immune metric. This noise immune metric enables the system to substitute a noisy distance with an expected value which value is calculated according to combined speech and noise data which occurs in the bandpass filter domain. Thus the system can be used with any set of speech parameters and is relatively independent of a specific speech recognition apparatus structure.

REFERENCES:
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patent: 4567606 (1986-01-01), Vensko et al.
patent: 4624008 (1986-11-01), Vensko et al.
Boll, Suppression of Acoustic Noise in Speech Using Spectral Subtraction, IEEE Trans. on ASSP, vol. ASSP-27, No. 3, Apr. 1979, pp. 113-120.
Tierney, A Study of LPC Analysis of Speech in Additive Noise, IEEE Trans. on ASSP, vol. ASSP-28, No. 4, Aug. 1980, pp. 389-397.
F. Itakura, Minimum Protection Residual Principle Applied Speech Recognition, IEEE Trans. on ASSP, vol. ASSP-23, pp. 67-72, Feb. 1975.
Porter and Boll, "Optimal Estimators for Spectral Restoration of Noisy Speech", ICASSP, San Diego, CA, Mar. 1984, pp. 18A.2.1-18A.2.4.

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