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| Main Author: | |
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| Format: | Preprint |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2009.10128 |
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| _version_ | 1866929313959378944 |
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| author | Arcos, Mickaël |
| author_facet | Arcos, Mickaël |
| contents | Cover song detection has been an active field in the Music Information Retrieval (MIR) community during the past decades. Most of the research community focused in solving it for a wide range of music genres with diverse characteristics. Western classical music, a genre heavily based on the recording of "cover songs", or musical works, represents a large heritage, offering immediate application for an efficient fingerprint algorithm. We propose an engineering approach for retrieving a cover song from a reference database thanks to a fingerprint designed for classical musical works. We open a new data set to encourage the scientific community to use it for further researches regarding this genre. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2009_10128 |
| institution | arXiv |
| publishDate | 2020 |
| record_format | arxiv |
| spellingShingle | Claraprint: a chord and melody based fingerprint for western classical music cover detection Arcos, Mickaël Information Retrieval Cover song detection has been an active field in the Music Information Retrieval (MIR) community during the past decades. Most of the research community focused in solving it for a wide range of music genres with diverse characteristics. Western classical music, a genre heavily based on the recording of "cover songs", or musical works, represents a large heritage, offering immediate application for an efficient fingerprint algorithm. We propose an engineering approach for retrieving a cover song from a reference database thanks to a fingerprint designed for classical musical works. We open a new data set to encourage the scientific community to use it for further researches regarding this genre. |
| title | Claraprint: a chord and melody based fingerprint for western classical music cover detection |
| topic | Information Retrieval |
| url | https://arxiv.org/abs/2009.10128 |