00000cmm a22000004a 4500 UP-99796217611212180 Buklod 20140424091635.0 m go j cr |n |||auu|a 110525s2011 xx u | eng d 9783642174780 (eBook) 3642174787 (eBook) (iLib)UPD-00214608356 DML eng DMLUC TK 7882 S65 F85 2011eb Fulop, Sean A. Speech spectrum analysis [electronic resource] by Sean A. Fulop. Berlin, Heidelberg Springer 2011. 1 online resource (xiii, 206 p.) Signals and communication technology Introduction -- Historical perspective on speech spectrum analysis.-The Fourier power spectrum and spectrogram -- Other time-frequency and wavelet representations -- The new frontier: Reassigned spectrograms and power spectra -- Linear prediction of the speech spectrum -- Homomorphic analysis and the cepstrum -- Formant tracking methods. IP-based subscription, access limited to within on campus computer network. Access via Electronic Resources of the UPD University Library Website. The accurate determination of the speech spectrum, particularly for short frames, is commonly pursued in diverse areas including speech processing, recognition, and acoustic phonetics. With this book the author makes the subject of spectrum analysis understandable to a wide audience, including those with a solid background in general signal processing and those without such background. In keeping with these goals, this is not a book that replaces or attempts to cover the material found in a general signal processing textbook. Some essential signal processing concepts are presented in the first chapter, but even there the concepts are presented in a generally understandable fashion as far as is possible. Throughout the book, the focus is on applications to speech analysis; mathematical theory is provided for completeness, but these developments are set off in boxes for the benefit of those readers with sufficient background. Other readers may proceed through the main text, where the key results and applications will be presented in general heuristic terms, and illustrated with software routines and practical "show-and-tell" discussions of the results. At some points, the book refers to and uses the implementations in the Praat speech analysis software package, which has the advantages that it is used by many scientists around the world, and it is free and open source software. At other points, special software routines have been developed and made available to complement the book, and these are provided in the Matlab programming language. If the reader has the basic Matlab package, he/she will be able to immediately implement the programs in that platform---no extra "toolboxes" are required. Electronic reproduction. New York SpringerLink 2011. Available via World Wide Web through SpringerLink. Speech processing systems. Automatic speech recognition. Signal processing. Electronic books. SpringerLink (Online service). Available for University of the Philippines Diliman via SpringerLink. Click here to access http://link.springer.com/book/10.1007/978-3-642-17478-0 FO Monograph UPD DMLR Electronic Resource