{"product_id":"9781461415046","title":"SpringerBriefs in Speech Technology","description":"\u003ch1\u003eSpringerBriefs in Speech Technology\u003c\/h1\u003e \u003ch2\u003eHolambe, Raghunath S.; Deshpande, Mangesh S.\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eAdvances in Non-Linear Modeling for Speech Processing\u003c\/i\u003e includes advanced topics in non-linear estimation and modeling techniques along with their applications to speaker recognition. \u003cbr\u003e\u003cbr\u003eNon-linear aeroacoustic modeling approach is used to estimate the important fine-structure speech events, which are not revealed by the short time Fourier transform (STFT). This aeroacostic modeling approach provides the impetus for the high resolution Teager energy operator (TEO). This operator is characterized by a time resolution that can track rapid signal energy changes within a glottal cycle. \u003cbr\u003e\u003cbr\u003eThe cepstral features like linear prediction cepstral coefficients (LPCC) and mel frequency cepstral coefficients (MFCC) are computed from the magnitude spectrum of the speech frame and the phase spectra is neglected. To overcome the problem of neglecting the phase spectra, the speech production system can be represented as an amplitude modulation-frequency modulation (AM-FM) model. To demodulate the speech signal, to estimation the amplitude envelope and instantaneous frequency components, the energy separation algorithm (ESA) and the Hilbert transform demodulation (HTD) algorithm are discussed. \u003cbr\u003e\u003cbr\u003eDifferent features derived using above non-linear modeling techniques are used to develop a speaker identification system. Finally, it is shown that, the fusion of speech production and speech perception mechanisms can lead to a robust feature set.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2012-02-21\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9781461415046\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-1-4614-1505-3\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 102\u003c\/p\u003e ","brand":"Springer New York","offers":[{"title":"Default Title","offer_id":47400311029900,"sku":"9781461415046","price":49.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781461415046.jpg?v=1775783733","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781461415046","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}