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Herausgeber: 
  • Anssi Klapuri
  • Manuel Davy
  • Signal Processing Methods for Music Transcription 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  2006  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Automated Pattern Recognition / C / Data Warehousing / Digital and Analog Signal Processing / engineering / Image processing / Information Retrieval / Information Storage and Retrieval / Natural language & machine translation / Natural language processing (Computer science) / Natural Language Processing (NLP) / pattern recognition / Signal Processing / Signal, Image and Speech Processing / Speech processing systems
    ISBN:  9780387306674 
    EAN-Code: 
    9780387306674 
    Verlag:  Springer Nature EN 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 24 mm 
    Gewicht:  1790 gr 
    Seiten:  440 
    Illustration:  XII, 440 p. 124 illus., schwarz-weiss Illustrationen 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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.

      
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