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What Does an End-to-End Dialect Identification Model Learn About Non-Dialectal Information?

, , , and . INTERSPEECH, page 462-466. ISCA, (2020)

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Noise-tolerant Audio-visual Online Person Verification Using an Attention-based Neural Network Fusion., , and . ICASSP, page 3995-3999. IEEE, (2019)KU-ISPL TRECVID 2016 Multimedia Event Detection System., , , , , , , , and . TRECVID, National Institute of Standards and Technology (NIST), (2016)KU-ISPL Language Recognition System for NIST 2015 i-Vector Machine Learning Challenge., , , and . CoRR, (2016)Context-aware Fine-tuning of Self-supervised Speech Models., , , , , and . CoRR, (2022)SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speech., , , , , , and . CoRR, (2021)On the Use of External Data for Spoken Named Entity Recognition., , , , and . NAACL-HLT, page 724-737. Association for Computational Linguistics, (2022)Multimodal Association for Speaker Verification., and . INTERSPEECH, page 2247-2251. ISCA, (2020)Convolutional Neural Network and Language Embeddings for End-to-End Dialect Recognition., , and . Odyssey, page 98-104. ISCA, (2018)Domain Mismatch Robust Acoustic Scene Classification using Channel Information Conversion., and . CoRR, (2018)Autoencoder Based Domain Adaptation for Speaker Recognition Under Insufficient Channel Information., , , and . INTERSPEECH, page 1014-1018. ISCA, (2017)