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Lexical Emphasis Detection in Spoken French Using F-BANKs and Neural Networks.

, , , , and . SLSP, volume 10583 of Lecture Notes in Computer Science, page 241-249. Springer, (2017)

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Pretext Tasks Selection for Multitask Self-Supervised Audio Representation Learning., , , and . IEEE J. Sel. Top. Signal Process., 16 (6): 1439-1453 (2022)A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding., , and . CoRR, (2021)Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers., , , , and . NeurIPS Datasets and Benchmarks, (2021)SpeechBrain: A General-Purpose Speech Toolkit., , , , , , , , , and 11 other author(s). CoRR, (2021)Char+CV-CTC: Combining Graphemes and Consonant/Vowel Units for CTC-Based ASR Using Multitask Learning., , , and . INTERSPEECH, page 1611-1615. ISCA, (2019)Twist your logic with TouIST., , , , , , and . CoRR, (2015)Lexical Emphasis Detection in Spoken French Using F-BANKs and Neural Networks., , , , and . SLSP, volume 10583 of Lecture Notes in Computer Science, page 241-249. Springer, (2017)Reconnaissance automatique de la parole à large vocabulaire : des approches hybrides aux approches End-to-End. (Large vocabulary automatic speech recognition: from hybrid to end-to-end approaches).. Toulouse III - Paul Sabatier University, France, (2021)