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1
Modéliser la perception des genres musicaux à travers différentes cultures à partir de ressources linguistiques
In: Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale ; Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-03265881 ; Traitement Automatique des Langues Naturelles, 2021, Lille, France. pp.270-272 (2021)
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2
Singing Language Identification using a Deep Phonotactic Approach ...
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3
MULTILINGUAL LYRICS-TO-AUDIO ALIGNMENT
In: International Society for Music Information Retrieval Conference (ISMIR) ; https://hal.archives-ouvertes.fr/hal-02996940 ; International Society for Music Information Retrieval Conference (ISMIR), Oct 2020, Montreal, Canada (2020)
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4
Modeling the Music Genre Perception across Language-Bound Cultures ...
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5
Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation ...
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6
Dataset from the EMNLP 2020 article "Modeling the Music Genre Perception across Language-Bound Cultures" ...
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7
Dataset from the ISMIR2020 article "Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation" ...
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8
Dataset from the ISMIR2020 article "Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation" ...
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9
Multilingual lyrics-to-audio alignment ...
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10
Multilingual lyrics-to-audio alignment ...
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11
Dataset from the ISMIR2020 article "Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation" ...
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12
Multilingual music genre embeddings for effective cross-lingual music item annotation ...
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13
Dataset from the EMNLP 2020 article "Modeling the Music Genre Perception across Language-Bound Cultures" ...
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14
Multilingual music genre embeddings for effective cross-lingual music item annotation ...
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