Audio Signal Processing

Advanced Analysis and Machine Learning Applications
Erscheinungsjahr 2026
ISBN: 978-0-443-36424-2
Verlag: Elsevier Science

Buch, Englisch, 400 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 449 g

Audio is a fundamental modality of data that has immense utility and need in human communication, digital transmission, pattern discovery, ecological understanding, healthcare, and many more. Advancements in sensor technology, signal processing, and machine learning have led to audio as an asset in many vertical applications. Audio Signal Processing: Advanced Analysis and Machine Learning Applications covers the basics of audio signal processing and analysis from sensing, acquisition, digitization, filtering, denoising, modelling, feature analysis, machine learning, and pattern recognition/decision making. It provides practical examples, illustrations, lab exercises, and mini projects to enhance the learning experience.

Autoren/Hrsg.

Krishnan, Sri

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware

Inhaltsverzeichnis

1. Audio Signal Basics
2. Digitization of Audio Signals
3. Pre-processing of Audio Signals
4. Adaptive Analysis of Audio Signals
5. Advanced Analysis of Audio Signals
6. Machine Learning of Audio Signals
7. Auditory Display
8. Case Studies

Über Autor(innen)

Krishnan, Sri
Sri Krishnan joined Toronto Metropolitan University, Toronto, Canada in 1999, and he is now a Professor of Electrical, Computer Engineering, and Biomedical Engineering. Sri Krishnan's research interests include biomedical signal analysis, audio signal analysis, and explainable machine learning. He is a Fellow of the Canadian Academy of Engineering. From 2007 to 2017 he was a Canada Research Chair in Biomedical Signal Analysis. He has published more than 400 refereed papers in journals and conferences. Sri Krishnan is a recipient of the Outstanding Canadian Biomedical Engineer Award, Achievement in Innovation Award from Innovate Calgary, Sarwan Sahota Distinguished Scholar Award, Young Engineer Achievement Award from Engineers Canada, New Pioneers Award in Science and Technology, and Exemplary Service Award from the IEEE Toronto Section.