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Diarization is Hard: Some Experiences and Lessons Learned for the JHU Team in the Inaugural DIHARD Challenge.

, , , , , , , , , , and . INTERSPEECH, page 2808-2812. ISCA, (2018)

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WHAMR!: Noisy and Reverberant Single-Channel Speech Separation., , , and . CoRR, (2019)A dilemma of ground truth in noisy speech separation and an approach to lessen the impact of imperfect training data., , , and . Comput. Speech Lang., (2023)Diarization is Hard: Some Experiences and Lessons Learned for the JHU Team in the Inaugural DIHARD Challenge., , , , , , , , , and 1 other author(s). INTERSPEECH, page 2808-2812. ISCA, (2018)Training Noisy Single-Channel Speech Separation With Noisy Oracle Sources: A Large Gap and A Small Step., , , and . CoRR, (2020)The JHU Multi-Microphone Multi-Speaker ASR System for the CHiME-6 Challenge., , , , , , , , , and . CoRR, (2020)Characterizing Performance of Speaker Diarization Systems on Far-Field Speech Using Standard Methods., , , , and . ICASSP, page 5244-5248. IEEE, (2018)Towards machines that know when they do not know: Summary of work done at 2014 Frederick Jelinek Memorial Workshop., , , , , , , , , and 6 other author(s). ICASSP, page 5009-5013. IEEE, (2015)Building Corpora for Single-Channel Speech Separation Across Multiple Domains., , , , and . CoRR, (2018)Training Noisy Single-Channel Speech Separation with Noisy Oracle Sources: A Large Gap and a Small Step., , , and . ICASSP, page 5774-5778. IEEE, (2021)WHAMR!: Noisy and Reverberant Single-Channel Speech Separation., , , and . ICASSP, page 696-700. IEEE, (2020)