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Context dependent modelling approaches for hybrid speech recognizers.

, , , and . INTERSPEECH, page 2950-2953. ISCA, (2010)

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Sound event detection from weak annotations: weighted-GRU versus multi-instance-learning., , and . DCASE, page 64-68. (2018)Language-Based Audio Retrieval with Textual Embeddings of Tag Names.. DCASE, Tampere University, (2022)Predicting disordered speech comprehensibility from Goodness of Pronunciation scores., , , and . SLPAT@Interspeech, page 42-46. Association for Computational Linguistics, (2015)Fast Threshold Optimization for Multi-Label Audio Tagging Using Surrogate Gradient Learning., and . ICASSP, page 651-655. IEEE, (2021)Automatically Recognising European Portuguese Children's Speech - Pronunciation Patterns Revealed by an Analysis of ASR Errors., , , , , , , and . PROPOR, volume 8775 of Lecture Notes in Computer Science, page 1-11. Springer, (2014)Transcription automatique de langues peu dotées. (Automatic speech recognition for less-represented languages).. University of Paris-Sud, Orsay, France, (2008)CoNeTTE: An Efficient Audio Captioning System Leveraging Multiple Datasets With Task Embedding., , and . IEEE ACM Trans. Audio Speech Lang. Process., (2024)Pronunciation Assessment of Japanese Learners of French with GOP Scores and Phonetic Information., , , , , and . INTERSPEECH, page 2686-2690. ISCA, (2016)Using phonetic features in unsupervised word decompounding for ASR with application to a less-represented language., and . INTERSPEECH, page 1797-1800. ISCA, (2007)Premier système IRIT-MyFamillyUp pour la compétition sur la reconnaissance des émotions Odyssey 2024., , , , , , , , , and 2 other author(s). TALN (JEP), page 502-511. ATALA and AFPC, (2024)