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Books > Computing & IT > Applications of computing > Audio processing
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An Introduction to Audio Content Analysis: Music I nformation Retrieval Tasks & Applications, Second Edition (Hardcover, 2nd Edition)
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An Introduction to Audio Content Analysis: Music I nformation Retrieval Tasks & Applications, Second Edition (Hardcover, 2nd Edition)
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An Introduction to Audio Content Analysis Enables readers to
understand the algorithmic analysis of musical audio signals with
AI-driven approaches An Introduction to Audio Content Analysis
serves as a comprehensive guide on audio content analysis
explaining how signal processing and machine learning approaches
can be utilized for the extraction of musical content from audio.
It gives readers the algorithmic understanding to teach a computer
to interpret music signals and thus allows for the design of tools
for interacting with music. The work ties together topics from
audio signal processing and machine learning, showing how to use
audio content analysis to pick up musical characteristics
automatically. A multitude of audio content analysis tasks related
to the extraction of tonal, temporal, timbral, and
intensity-related characteristics of the music signal are
presented. Each task is introduced from both a musical and a
technical perspective, detailing the algorithmic approach as well
as providing practical guidance on implementation details and
evaluation. To aid in reader comprehension, each task description
begins with a short introduction to the most important musical and
perceptual characteristics of the covered topic, followed by a
detailed algorithmic model and its evaluation, and concluded with
questions and exercises. For the interested reader, updated
supplemental materials are provided via an accompanying website.
Written by a well-known expert in the music industry, sample topics
covered in Introduction to Audio Content Analysis include: Digital
audio signals and their representation, common time-frequency
transforms, audio features Pitch and fundamental frequency
detection, key and chord Representation of dynamics in music and
intensity-related features Beat histograms, onset and tempo
detection, beat histograms, and detection of structure in music,
and sequence alignment Audio fingerprinting, musical genre, mood,
and instrument classification An invaluable guide for newcomers to
audio signal processing and industry experts alike, An Introduction
to Audio Content Analysis covers a wide range of introductory
topics pertaining to music information retrieval and machine
listening, allowing students and researchers to quickly gain core
holistic knowledge in audio analysis and dig deeper into specific
aspects of the field with the help of a large amount of references.
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