Accurate estimation of harmonic amplitudes in voiced speech based on harmonic transform
Piotr Zubrycki, Alexander A. Petrovsky
Abstract
Piotr Zubrycki, Alexander A. Petrovsky
Abstract
This paper presents a frame-based method for estimation of instantaneous amplitudes and frequencies of pitch harmonics. Proposed method assumes that the speech signal is a combination of voiced (harmonic) and unvoiced (noise) components present in whole speech band. Harmonic transform is used as a frequency analysis tool which kernel is synchronized with time-varying pitch frequency. The speech signal is divided into a set of subbands with center frequency corresponding to the pitch and in each subband Hilbert transform is used as an estimator of instantaneous amplitude of each harmonic.
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This paper presents a frame-based method for estimation of instantaneous amplitudes and frequencies of pitch harmonics. Proposed method assumes that the speech signal is a combination of voiced (harmonic) and unvoiced (noise) components present in whole speech band. Harmonic transform is used as a frequency analysis tool which kernel is synchronized with time-varying pitch frequency. The speech signal is divided into a set of subbands with center frequency corresponding to the pitch and in each subband Hilbert transform is used as an estimator of instantaneous amplitude of each harmonic.
Key concepts: Harmonic, Harmonics, Speech recognition, Instantaneous phase, Estimator, Acoustics, Harmonic analysis, Amplitude