Signal Processing Methods for Music Transcription
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Beschreibung
Signal Processing Methods for Music Transcription is the first book dedicated to uniting research related to signal processing algorithms and models for various aspects of music transcription such as pitch analysis, rhythm analysis, percussion transcription, source separation, instrument recognition, and music structure analysis. Following a clearly structured pattern, each chapter provides a comprehensive review of the existing methods for a certain subtopic while covering the most important state-of-the-art methods in detail. The concrete algorithms and formulas are clearly defined and can be easily implemented and tested. A number of approaches are covered, including, for example, statistical methods, perceptually-motivated methods, and unsupervised learning methods. The text is enhanced by a common reference and index.
This book aims to serve as an ideal starting point for newcomers and an excellent reference source for people already working in the field. Researchers and graduate students in signal processing, computer science, acoustics and music will primarily benefit from this text. It could be used as a textbook for advanced courses in music signal processing. Since it only requires a basic knowledge of signal processing, it is accessible to undergraduate students.
This text is the first published survey of recent research in signal processing for music transcription, edited and authored by authorities in the field. It covers a range of topics, from the structure and decomposition of signals, to using computational modeling and neural networks for music transcription. The book targets a growing audience interested in MPEG-7 standardization. It serves as an ideal starting point for newcomers and an excellent reference source for people already working in the field. The text is enhanced by a common reference and index.
The first book uniting state-of-the-art research in signal processing for music transcription Covers a range of topics and approaches discussed by international experts in the field Contributes to the dissemination of the increasingly relevant topic of MPEG-7 standardization Describes models for the different subtopics of music transcription, including pitch analysis, percussion transcription, source separation, instrument recognition, and music structure analysis Comprehensive review of existing methods Ideal starting point for newcomers and a valuable reference source for people working in the field Includes concrete algorithms and formulas for various methods, making it easy for the reader to implement and experiment
Autor*in
Anssi Klapuri
Themen in »Signal Processing Methods for Music Transcription«
Acoustics algorithms classification cognition learning modeling signal processing