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The branch of study known as computer audition (CA), often known as machine listening, focuses on the development of algorithms and systems for the interpretation of audio by machines. Computer audition is an attempt to bring together different fields that, in the past, worked with particular issues or had a specific application in mind. This is done since the concept of what it means for a machine to "hear" is extremely wide and somewhat hazy. In an interview with Technology Review, the engineer Paris Smaragdis discusses these systems, which he describes as "software that uses sound to locate people moving through rooms, monitor machinery for impending breakdowns, or activate traffic cameras to record accidents."
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Computer audition
Chapter 2: Audio signal processing
Chapter 3: Music information retrieval
Chapter 4: Algorithmic composition
Chapter 5: Auditory scene analysis
Chapter 6: Computational auditory scene analysis
Chapter 7: Machine perception
Chapter 8: Music and artificial intelligence
Chapter 9: Computational musicology
Chapter 10: Sound and music computing
(II) Answering the public top questions about computer audition.
(III) Real world examples for the usage of computer audition in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of computer audition' technologies.
Who This Book Is For
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of computer audition.
