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- W1995256401 abstract "A digital preprocessing technique has been developed for removing additive noise from speech prior to Linear Prediction analysis. The algorithm requires two signals: a primary input consisting of speech plus noise, and a second reference input consisting only of correlated noise. (The reference signal could be obtained from a second microphone placed in the noisy environment but isolated from the speaker.) Noise present in the primary signal which is correlated with that in the reference noise from the primary input. The impulse response for the reference signal filter is adaptively computed at the analysis frame rate to minimize the energy of the difference between the primary and filtered reference signals. In addition to improving the estimate of the smoothed spectral envelope, the method can be used to improve pitch detection where inverse filtering by Linear Prediction is employed for spectral flattening." @default.
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- W1995256401 date "1976-11-01" @default.
- W1995256401 modified "2023-09-27" @default.
- W1995256401 title "Dual input noise cancellation for robust speech processing" @default.
- W1995256401 doi "https://doi.org/10.1121/1.2003072" @default.
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