Searching and Classifying Affinities in a Web Music Collection
| العنوان: | Searching and Classifying Affinities in a Web Music Collection |
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| المؤلفون: | Nicola Orio |
| المصدر: | Communications in Computer and Information Science ISBN: 9783319562995 IRCDL |
| بيانات النشر: | Springer International Publishing, 2017. |
| سنة النشر: | 2017 |
| مصطلحات موضوعية: | Matching (statistics), Information retrieval, Computer science, Process (engineering), music similarity, duplicate analysis, digital libraries, 020206 networking & telecommunications, 02 engineering and technology, Lossy compression, Digital library, Affinities, digital libraries, Locality-sensitive hashing, music similarity, World Wide Web, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Online music, duplicate analysis, Digitization |
| الوصف: | Online music libraries available on the Web contain a large amount of audio content that is usually the result of digitization of analogue recordings or the direct acquisition of digital sources. The acquisition process is carried out by several persons and may last a number of years, thus it is likely that the same or similar audio content is present in different versions. This paper describes a number of possible similarities, which are called affinities, and presents a methodology to detect the kind of affinity from the automatic analysis and matching of the audio content. |
| ردمك: | 978-3-319-56299-5 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9e7a261d9b5e1e545814ade8bb3c93eTest https://doi.org/10.1007/978-3-319-56300-8_6Test |
| حقوق: | CLOSED |
| رقم الانضمام: | edsair.doi.dedup.....d9e7a261d9b5e1e545814ade8bb3c93e |
| قاعدة البيانات: | OpenAIRE |
| ردمك: | 9783319562995 |
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