seungheondoh/musical-word-embedding
Musical Word Embedding Musical Word Embedding for Music Tagging and Retrieval SeungHeon Doh, Jongpil Lee, Dasaem Jeong, Juhan NamTo appear IEEE Transactions on Audio, Speech and Language Processing (submitted) Word embedding has become an essential means for text-based information retrieval. Typically, word embeddings are learned from large quantities of general and unstructured text data. However, in the domain of music, the word embedding may have difficulty… See the full description on the dataset page: https://huggingface.co/datasets/seungheondoh/musical-word-embedding.
| Author / organization | seungheondoh |
|---|---|
| Downloads | 178 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 22 April 2024 |
| Last updated at source | 23 April 2024 |
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178 now (+3 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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- 17 Oct 2026 Description: Musical Word Embedding Musical Word Embedding for Music Tagging and Retrieval SeungHeon Doh, Jongpil Lee, Dasaem Jeong, Juhan NamTo appear IEEE Transactions on Audio, Speech and Language Processing (submitted) Word embedding has become an e → Musical Word Embedding Musical Word Embedding for Music Tagging and Retrieval SeungHeon Doh, Jongpil Lee, Dasaem Jeong, Juhan NamTo appear IEEE Transactions on Audio, Speech and Language Processing (submitted) Word embedding has become an e
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