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Exploiting Semantic Content for Singing Voice Detection.

, and . ICSC, page 134-137. IEEE Computer Society, (2012)

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"Prediction of Sleepiness Ratings from Voice by Man and Machine": A Perceptual Experiment Replication Study., , , and . ICASSP, page 1-5. IEEE, (2023)FVLLMONTI: The 3D Neural Network Compute Cube $(N^2C^2)$ Concept for Efficient Transformer Architectures Towards Speech-to-Speech Translation., , , , , , , , , and 25 other author(s). DATE, page 1-6. IEEE, (2024)Détection de la somnolence objective dans la voix (Objective sleepiness detection through voice )., , and . JEP-TALN-RECITAL (1), page 406-414. ATALA et AFCP, (2020)Automatic Speech Recognition Systems Errors for Objective Sleepiness Detection Through Voice., , , and . Interspeech, page 2476-2480. ISCA, (2021)Conditioning LLMs with Emotion in Neural Machine Translation., and . CoRR, (2024)Exploiting Semantic Content for Singing Voice Detection., and . ICSC, page 134-137. IEEE Computer Society, (2012)Estimating Symptoms and Clinical Signs Instead of Disorders: The Path Toward The Clinical Use of Voice and Speech Biomarkers In Psychiatry., and . ICASSP, page 10606-10610. IEEE, (2024)Étude de la qualité vocale dans la parole professionnelle des aides-soignants français., , and . TALN (JEP), page 51-60. ATALA and AFPC, (2024)Merging segmental and rhythmic features for Automatic Language Identification., , , and . ICASSP, page 753-756. IEEE, (2002)Automatic Prosodic Variations Modeling for Language and Dialect Discrimination.. IEEE Trans. Speech Audio Process., 15 (6): 1904-1911 (2007)