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An Introduction to Audio Content Analysis

- Music Information Retrieval Tasks and Applications
Af: Alexander Lerch Engelsk Hardback

An Introduction to Audio Content Analysis

- Music Information Retrieval Tasks and Applications
Af: Alexander Lerch Engelsk Hardback
Tjek vores konkurrenters priser
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 featuresPitch and fundamental frequency detection, key and chordRepresentation of dynamics in music and intensity-related featuresBeat histograms, onset and tempo detection, beat histograms, and detection of structure in music, and sequence alignmentAudio 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.
Tjek vores konkurrenters priser
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kr 1.021
Fragt: 39 kr
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20 kr
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God 4 anmeldelser på
Tjek vores konkurrenters priser
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 featuresPitch and fundamental frequency detection, key and chordRepresentation of dynamics in music and intensity-related featuresBeat histograms, onset and tempo detection, beat histograms, and detection of structure in music, and sequence alignmentAudio 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.
Produktdetaljer
Sprog: Engelsk
Sider: 464
ISBN-13: 9781119890942
Indbinding: Hardback
Udgave: 2
ISBN-10: 1119890942
Udg. Dato: 8 nov 2022
Længde: 33mm
Bredde: 236mm
Højde: 160mm
Forlag: John Wiley & Sons Inc
Oplagsdato: 8 nov 2022
Forfatter(e): Alexander Lerch
Forfatter(e) Alexander Lerch


Kategori Kommunikationsteknik / telekommunikation


ISBN-13 9781119890942


Sprog Engelsk


Indbinding Hardback


Sider 464


Udgave 2


Længde 33mm


Bredde 236mm


Højde 160mm


Udg. Dato 8 nov 2022


Oplagsdato 8 nov 2022


Forlag John Wiley & Sons Inc

Kategori sammenhænge