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Focusing on audio coding fundamentals, this textbook offers a comprehensive introduction to compressing audio and music signals through practical Python programs. It begins with essential digital signal processing concepts, advancing to filter banks and their design methods. The text explores psycho-acoustic models, detailing their design and implementation. Additionally, it covers specialized coding components, including the Integer-to-Integer MDCT filter bank and predictive coding techniques. Each section is accompanied by Python examples to enhance understanding and experimentation.
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Filter Banks and Audio Coding, Gerald Schuller
- Language
- Released
- 2021
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- (Paperback)
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