Deshpande mangesh (20 resultados)

Hardcover. Condición: New. ISBN:9788193555460,200pp.

Hardcover. Condición: New. 1st Edition. The Modi government will be known for the economic decisions it took during its five year tenure. Be it reforming the tax system, overhauling a century-old bankruptcy law, fighting corruption with demonetisation or leapfrogging in the World Bank's ease-of-doingbusiness global rankings, India has risen among its peers in terms of economy. Recovery, Reforms and Resilience in India An Assessment of Modi Macroeconomics focuses on the analysis and assessment of India's economic performance since 2014 till 2019. With the economic trends in the previous five years as a backdrop, the book apprises the readers of the behaviour of key indicators such as growth, stability and inflation in the last decade since 2009. In addition, the book also offers some critical policy recommendations for the government which will assume power soon. About the Authors S. S. Bhandare is a Director on the Board of Saraswat Cooperative Bank. He was the former Economic Advisor to the Tata Group and former Chief Economist of Maharashtra Economic Development Council. He has undertaken numerous assignments in the field of economic consultancy, involving industrial and corporate research and corporate planning. C.S. Deshpande is a Professor of Economics at Welingkar Institute of Management, Development and Research, Mumbai. His professional and research experience of about three-and-a-half decades spans academics, policy think tank, corporate sector and trade-related institutions. Mangesh Soman is a Mumbai-based corporate economist. His work experience over the last two-and-a-half decades spans media, industry chambers and corporate sector. His key areas of interest include risk management, currency markets, business cycles and fiscal and monetary policies. (jacket).…

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Condición: New. pp. 118.

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Taschenbuch. Condición: Neu. Speaker Identification: New Spectral Feature Extraction Techniques | Linear and nonlinear modeling techniques | Mangesh Deshpande (u. a.) | Taschenbuch | 152 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783845404639 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. …

Condición: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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.…

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Taschenbuch. Condición: 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.…

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Automatic speaker recognition has been an active research area for more than four decades and the technology has gradually matured to a state ready for real life applications. However, contamination by additive noise becomes a major obstacle to commercialize the use of this technique. A more realistic way to try to improve on the situation is to search for ways to improve the robustness of the features used. Therefore, this book addresses the issue of speaker identification under mismatched conditions. The main focus of the book is on the low-level spectral features. This book covers the feature extraction process, including the speech production and perception systems. The importance of high frequency components and the phase information (which is normally discarded by most of the state-of-the art features) are investigated and different noise robust algorithms are proposed which makes use of wavelet packet transform, Teager energy operator and AM-FM model. This book would help the researchers and engineers to grasp the basics and quickly move on to more sophisticated techniques. 152 pp. Englisch.…

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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Nonlinear aspects of speech signals are covered in depth Covers nonlinear modeling techniques from the context of speaker identification New insight is explored to combine the speech production and speech perception systemsA.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Automatic speaker recognition has been an active research area for more than four decades and the technology has gradually matured to a state ready for real life applications. However, contamination by additive noise becomes a major obstacle to commercialize the use of this technique. A more realistic way to try to improve on the situation is to search for ways to improve the robustness of the features used. Therefore, this book addresses the issue of speaker identification under mismatched conditions. The main focus of the book is on the low-level spectral features. This book covers the feature extraction process, including the speech production and perception systems. The importance of high frequency components and the phase information (which is normally discarded by most of the state-of-the art features) are investigated and different noise robust algorithms are proposed which makes use of wavelet packet transform, Teager energy operator and AM-FM model. This book would help the researchers and engineers to grasp the basics and quickly move on to more sophisticated techniques.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Automatic speaker recognition has been an active research area for more than four decades and the technology has gradually matured to a state ready for real life applications. However, contamination by additive noise becomes a major obstacle to commercialize the use of this technique. A more realistic way to try to improve on the situation is to search for ways to improve the robustness of the features used. Therefore, this book addresses the issue of speaker identification under mismatched conditions. The main focus of the book is on the low-level spectral features. This book covers the feature extraction process, including the speech production and perception systems. The importance of high frequency components and the phase information (which is normally discarded by most of the state-of-the art features) are investigated and different noise robust algorithms are proposed which makes use of wavelet packet transform, Teager energy operator and AM-FM model. This book would help the researchers and engineers to grasp the basics and quickly move on to more sophisticated techniques.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 152 pp. Englisch.…