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Investigating model performance in language identification: beyond simple error statistics.

, , , , , , , and . INTERSPEECH, page 4129-4133. ISCA, (2023)

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Generative error correction for code-switching speech recognition using large language models., , , , , and . CoRR, (2023)Investigating model performance in language identification: beyond simple error statistics., , , , , , , and . INTERSPEECH, page 4129-4133. ISCA, (2023)A Quantitative Approach to Understand Self-Supervised Models as Cross-lingual Feature Extracters., , , , , and . ICNLSP, page 200-211. Association for Computational Linguistics, (2023)PHO-LID: A Unified Model Incorporating Acoustic-Phonetic and Phonotactic Information for Language Identification., , , , and . INTERSPEECH, page 2233-2237. ISCA, (2022)Reducing Language Confusion for Code-Switching Speech Recognition with Token-Level Language Diarization., , , , , and . ICASSP, page 1-5. IEEE, (2023)Mamba in Speech: Towards an Alternative to Self-Attention., , , , , , , , and . CoRR, (2024)End-to-End Language Diarization for Bilingual Code-Switching Speech., , , , , , and . Interspeech, page 1489-1493. ISCA, (2021)Self-supervised Learning Representation based Accent Recognition with Persistent Accent Memory., , , , , , and . INTERSPEECH, page 1968-1972. ISCA, (2023)Unidirectional Brain-Computer Interface: Artificial Neural Network Encoding Natural Images to FMRI Response in the Visual Cortex., , , , , , , , , and . ICASSP, page 1851-1855. IEEE, (2024)MERLIon CCS Challenge: A English-Mandarin code-switching child-directed speech corpus for language identification and diarization., , , , , , , , , and . INTERSPEECH, page 4109-4113. ISCA, (2023)