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Autor(en): 
  • Lerch Alexander
  • An Introduction to Audio Content Analysis: Music Information Retrieval Tasks and Applications 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  November 2022  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Audio & Speech Processing & Broadcasting / audio metadata / Audio-, Sprachverarbeitung u. Übertragung / Audiotechnik / Electrical & Electronics Engineering / Elektrotechnik u. Elektronik / Intelligent Systems & Agents / Intelligente Systeme
    ISBN:  9781119890942 
    EAN-Code: 
    9781119890942 
    Verlag:  Wiley 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 229 mm / B 152 mm / D 26 mm 
    Gewicht:  1211 gr 
    Seiten:  464 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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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