02365cam a2200289 i 45000010009000000050017000090080041000260100017000670200049000840200027001330400031001600420008001910500026001990820021002251000062002462450061003082500019003692640061003883000047004493360026004963370028005223380027005505040051005775201358006286500031019866500058020172053363020251027205633.0180608s2019    flua     b    001 0 eng    a  2018027155  a9781498762748q(hardback ;qacid-free paper)  z9780429444067q(ebook)  aDLCbengerdacNMSCSTdDLC  apcc00aTK7882.S65b.H55 201800a006.4bH645 20191 aHill, Paulc(Researcher in image communication),eauthor.10aAudio and speech processing with MATLAB /cPaul R. Hill.  aFirst edition. 1aBoca Raton :bCRC Press, Taylor & Francis Group,c[2019]  axxiii, 329 pages :billustrations ;c25 cm  atextbtxt2rdacontent  aunmediatedbn2rdamedia  avolumebnc2rdacarrier  aIncludes bibliographical references and index.  a"Speech and audio processing has undergone a revolution in preceding decades that has accelerated in the last few years generating game-changing technologies such as truly successful speech recognition systems; a goal that had remained out of reach until very recently. This book gives the reader a comprehensive overview of such contemporary speech and audio processing techniques with an emphasis on practical implementations and illustrations using MATLAB code. Core concepts are firstly covered giving an introduction to the physics of audio and vibration together with their representations using complex numbers, Z transforms and frequency analysis transforms such as the FFT. Later chapters give a description of the human auditory system and the fundamentals of psychoacoustics. Insights, results and analyses given in these chapters are subsequently used as the basis of understanding of the middle section of the book covering: wideband audio compression (MP3 audio etc.), speech recognition and speech coding. The final chapter covers musical synthesis and applications describing methods such as (and giving MATLAB examples of) AM, FM and ring modulation techniques. This chapter gives a final example of the use of time-frequency modification to implement a so-called phase vocoder for time stretching (in MATLAB)"--cProvided by publisher. 0aSpeech processing systems. 0aSoundxRecording and reproducingxDigital techniques.