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The Spoken Language Understanding MEDIA Benchmark Dataset in the Era of Deep Learning: data updates, training and evaluation tools.

, , , , , , , и . LREC, стр. 1595-1602. European Language Resources Association, (2022)

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Другие публикации лиц с тем же именем

TARIC-SLU: A Tunisian Benchmark Dataset for Spoken Language Understanding., , , , , и . LREC/COLING, стр. 15606-15616. ELRA and ICCL, (2024)End-to-end model for named entity recognition from speech without paired training data., , , и . INTERSPEECH, стр. 4068-4072. ISCA, (2022)LeBenchmark 2.0: A standardized, replicable and enhanced framework for self-supervised representations of French speech., , , , , , , , , и 12 other автор(ы). Comput. Speech Lang., (2024)Where Are We in Semantic Concept Extraction for Spoken Language Understanding?, , , , , и . SPECOM, том 12997 из Lecture Notes in Computer Science, стр. 202-213. Springer, (2021)A Multimodal Educational Corpus of Oral Courses: Annotation, Analysis and Case Study., , , , , , , , и . LREC, стр. 4293-4301. European Language Resources Association, (2020)Open-Source Conversational AI with SpeechBrain 1.0., , , , , , , , , и 22 other автор(ы). CoRR, (2024)Instrumentation of Classrooms Using Synchronous Speech Transcription., , , и . EC-TEL, том 11082 из Lecture Notes in Computer Science, стр. 648-651. Springer, (2018)Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition., , , , и . ICASSP, стр. 6767-6771. IEEE, (2022)Privacy Attacks for Automatic Speech Recognition Acoustic Models in A Federated Learning Framework., , , , и . ICASSP, стр. 6972-6976. IEEE, (2022)LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech., , , , , , , , , и 8 other автор(ы). Interspeech, стр. 1439-1443. ISCA, (2021)