Zu dieser ISBN ist aktuell kein Angebot verfügbar.
Alle Exemplare der Ausgabe mit dieser ISBN anzeigen:Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Versand:
EUR 2,43
Innerhalb der USA
Buchbeschreibung Zustand: New. Bestandsnummer des Verkäufers 16228229-n
Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren
Buchbeschreibung Soft Cover. Zustand: new. Bestandsnummer des Verkäufers 9781461415046
Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren
Buchbeschreibung Zustand: New. Bestandsnummer des Verkäufers ABLIING23Mar2716030035339
Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren
Buchbeschreibung Zustand: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. Bestandsnummer des Verkäufers ria9781461415046_lsuk
Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren
Buchbeschreibung Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Advances in Non-Linear Modeling for Speech Processing includes advanced topics in non-linear estimation and modeling techniques along with their applications to speaker recognition. Non-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. The 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. Different 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. 116 pp. Englisch. Bestandsnummer des Verkäufers 9781461415046
Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren
Buchbeschreibung Paperback. Zustand: Brand New. 100 pages. 9.25x6.00x0.50 inches. In Stock. Bestandsnummer des Verkäufers x-1461415047
Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren
Buchbeschreibung PF. Zustand: New. Bestandsnummer des Verkäufers 6666-IUK-9781461415046
Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren
Buchbeschreibung Zustand: New. Bestandsnummer des Verkäufers 16228229-n
Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren
Buchbeschreibung Zustand: New. Non-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 book includes advanced topics in non-linear estimation and modeling techniques along with their applications to speaker recognition. Series: Springerbriefs in Electrical and Computer Engineering / Springerbriefs in Speech Technology. Num Pages: 102 pages, 32 black & white illustrations, 9 black & white tables, biography. BIC Classification: TTBM; UYQL; UYQS. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 6. Weight in Grams: 189. . 2012. 2012. Paperback. . . . . Bestandsnummer des Verkäufers V9781461415046
Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren
Buchbeschreibung Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Advances in Non-Linear Modeling for Speech Processing includes advanced topics in non-linear estimation and modeling techniques along with their applications to speaker recognition. Non-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. The 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. Different 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. Bestandsnummer des Verkäufers 9781461415046
Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren