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The task of music structure analysis refers to automatically identifying the location and the nature of musical sections within a song. In the supervised scenario, structural annotations generally result from exhaustive ...
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Audio-text models trained via contrastive learning offer a practical approach to perform audio classification through natural language prompts, such as "this is a sound of" followed by category names. In this work, we ex...
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Overlapped speech is notoriously problematic for speaker diarization systems. Consequently, the use of speech separation has recently been proposed to improve their performance. Although promising, speech separation mode...
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In the present work, we introduce the use of Conditional Random Fields (CRFs) for the audio-to-score alignment task. This framework encompasses the statistical models which are used in the literature and allows for more ...
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L'objet de cette thèse est de contribuer à améliorer l'identification automatique des instruments de musique dans des contextes réalistes, (sur des solos de musique, mais également sur des pièces multi-instrumentales). N...