Advances in Non-Linear Modeling for Speech Processing by Raghunath S. Holambe
By Raghunath S. Holambe
Advances in Non-Linear Modeling for Speech Processing contains complex subject matters in non-linear estimation and modeling options besides their functions to speaker acceptance.
Non-linear aeroacoustic modeling strategy is used to estimate the real fine-structure speech occasions, which aren't published through the fast time Fourier rework (STFT). This aeroacostic modeling method presents the impetus for the excessive answer Teager strength operator (TEO). This operator is characterised via a time answer which can tune speedy sign strength alterations inside a glottal cycle.
The cepstral positive factors like linear prediction cepstral coefficients (LPCC) and mel frequency cepstral coefficients (MFCC) are computed from the value spectrum of the speech body and the section spectra is overlooked. to beat the matter of neglecting the section spectra, the speech construction method could be represented as an amplitude modulation-frequency modulation (AM-FM) version. To demodulate the speech sign, to estimation the amplitude envelope and immediate frequency elements, the strength separation set of rules (ESA) and the Hilbert rework demodulation (HTD) set of rules are mentioned.
Different positive aspects derived utilizing above non-linear modeling concepts are used to boost a speaker id procedure. eventually, it truly is proven that, the fusion of speech creation and speech notion mechanisms can result in a powerful function set.
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Additional resources for Advances in Non-Linear Modeling for Speech Processing
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