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- W2102494813 abstract "A technique for estimating the pitch of a speech waveform is developed. It fits a harmonic set of sine waves to the input data using a mean-squared-error (MSE) criterion. By exploiting a sinusoidal model for the input speech waveform, a pitch estimation criterion is derived that is inherently unambiguous, uses pitch-adaptive resolution, uses small-signal suppression to provide enhanced discrimination, and uses amplitude compression to eliminate the effects of pitch-formant interaction. The normalized minimum mean squared error proves to be a powerful discriminant for estimating the likelihood that a given frame of speech is voiced. >" @default.
- W2102494813 created "2016-06-24" @default.
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- W2102494813 date "2002-12-04" @default.
- W2102494813 modified "2023-09-26" @default.
- W2102494813 title "Pitch estimation and voicing detection based on a sinusoidal speech model" @default.
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- W2102494813 doi "https://doi.org/10.1109/icassp.1990.115585" @default.
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