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- W84529525 abstract "A modified SEARMA method is proposed for estimating the speech spectrum in the presence of colored background noise. The following assumptions are used in developing the analysis. The speech production process is represented by an autoregressive moving-average (ARMA) model. The background noise is represented by an AR process, and is always present regardless of presence and absence of speech activity. The noise process is locally stationary during speech activity. Following these assumptions, the process during speech activity can be represented by an extended ARMA model. In this formulation, unique estimation of AR parameters of the vocal tract transfer function is always possible if the AR parameters of the noise process can be estimated separately, but the estimation of MA parameters requires further assumption of a high SNR. The validity of| the proposed method is demonstrated by spectral estimation of synthetic speech sounds in the presence of additive colored noise, and by comparing the results with those obtained by a method using an AR model." @default.
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- W84529525 date "1985-08-01" @default.
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- W84529525 title "Spectral Estimation of Speech Corrupted by Colored Noise" @default.
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- W84529525 doi "https://doi.org/10.1016/s1474-6670(17)60265-9" @default.
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