Ian Vince McLoughlin

Speech and Audio Processing

A Matlab(r)-Based Approach

• Gebundenes Buch

Produktbeschreibung

With this comprehensive and accessible introduction to the field, you will gain all the skills and knowledge needed to work with current and future audio, speech, and hearing processing technologies. Topics covered include mobile telephony, human-computer interfacing through speech, medical applications of speech and hearing technology, electronic music, audio compression and reproduction, big data audio systems and the analysis of sounds in the environment. All of this is supported by numerous practical illustrations, exercises, and hands-on MATLAB examples on topics as diverse as psychoacoustics (including some auditory illusions), voice changers, speech compression, signal analysis and visualisation, stereo processing, low-frequency ultrasonic scanning, and machine learning techniques for big data. With its pragmatic and application driven focus, and concise explanations, this is an essential resource for anyone who wants to rapidly gain a practical understanding of speech and audio processing and technology.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 400
• Erscheinungstermin: 21. Juli 2016
• Englisch
• Abmessung: 254mm x 182mm x 25mm
• Gewicht: 926g
• ISBN-13: 9781107085466
• ISBN-10: 1107085462
• Artikelnr.: 44271780

Autorenporträt

Ian Vince McLoughlin has worked with speech and audio for almost three decades in both industry and academia, creating signal processing systems for speech compression, enhancement and analysis, authoring over 200 publications in this domain. Professor McLoughlin pioneered Bionic Voice research, invented super-audible silent speech technology and was the first to apply the power of deep neural networks to machine hearing, endowing computers with the ability to comprehend a diverse range of sounds.

Inhaltsangabe

1. Introduction
2. Basic audio processing
3. Speech
4. The human auditory system
5. Psychoacoustics
6. Speech communications
7. Audio analysis
8. Big data
9. Speech recognition
10. Advanced topics
11. Conclusion.