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The Hitachi-JHU DIHARD III System: Competitive End-to-End Neural Diarization and X-Vector Clustering Systems Combined by DOVER-Lap.

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The JHU Multi-Microphone Multi-Speaker ASR System for the CHiME-6 Challenge., , , , , , , , , and . CoRR, (2020)The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios., , , , , , , , , and . CoRR, (2023)Synthetic Data Augmentation for ASR with Domain Filtering., , , , and . APSIPA ASC, page 1760-1765. IEEE, (2023)End-To-End Speaker Diarization as Post-Processing., , , , and . ICASSP, page 7188-7192. IEEE, (2021)Mutual Learning of Single- and Multi-Channel End-to-End Neural Diarization., , , and . SLT, page 620-625. IEEE, (2022)A Quantitative Approach to Understand Self-Supervised Models as Cross-lingual Feature Extracters., , , , , and . ICNLSP, page 200-211. Association for Computational Linguistics, (2023)Analysis of the Impact of the Audio Database Characteristics in the Accuracy of a Speaker Clustering System., , and . Odyssey, page 393-399. ISCA, (2016)Using ASR Methods for OCR., , , , , , , , , and 4 other author(s). ICDAR, page 663-668. IEEE, (2019)Multi-Channel End-to-End Neural Diarization with Distributed Microphones., , , , and . CoRR, (2021)The Hitachi-JHU DIHARD III System: Competitive End-to-End Neural Diarization and X-Vector Clustering Systems Combined by DOVER-Lap., , , , , , , , , and . CoRR, (2021)