Overview
- Provides benchmark results and standardised test-beds for a broader range of audio analysis tasks
- Extends the range of Intelligent Audio Analysis application by
- showing its potential in new tasks
- Stimulates synergies arising from transfer of methods and lead to a holistic audio analysis
- Shows deficiencies in current approaches and sketches future perspectives
- Includes supplementary material: sn.pub/extras
Part of the book series: Signals and Communication Technology (SCT)
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Table of contents (14 chapters)
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Front Matter
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Introduction
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Front Matter
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Intelligent Audio Analysis Methods
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Front Matter
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Intelligent Audio Analysis Applications
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Front Matter
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Conclusion
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Front Matter
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Back Matter
Keywords
About this book
After the introductory parts, the book shows several applications for the three types of audio: speech, music, and general sound. Each task is shortly introduced, followed by a description of the specific data and methods applied, experiments and results, and a conclusion for this specific task.
The books provides benchmark results and standardized test-beds for a broader range of audio analysis tasks. The main focus thereby lies on the parallel advancement of realism in audio analysis, as too often today’s results are overly optimistic owing to idealized testing conditions, and it serves to stimulate synergies arising from transfer of methods and leads to a holistic audio analysis.
Authors and Affiliations
Bibliographic Information
Book Title: Intelligent Audio Analysis
Authors: Björn W. Schuller
Series Title: Signals and Communication Technology
DOI: https://doi.org/10.1007/978-3-642-36806-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-36805-9Published: 08 May 2013
Softcover ISBN: 978-3-642-44277-3Published: 19 May 2015
eBook ISBN: 978-3-642-36806-6Published: 08 July 2014
Series ISSN: 1860-4862
Series E-ISSN: 1860-4870
Edition Number: 1
Number of Pages: XXVIII, 345
Topics: Signal, Image and Speech Processing, Engineering Acoustics, User Interfaces and Human Computer Interaction