Metric Learning with Sequence-to-sequence Autoencoder for Content-based Music Identification
Content-based music identification is an active research field that involves recognizing the identity of a musical performance embedded within an audio query. This process holds significant relevance in practical applications, such as radio broadcast monitoring for detecting copyright infringement....
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
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| Series: | ITM Web of Conferences |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2024/03/itmconf_aiss2024_00007.pdf |