2021
INTERSPEECH
INTERSPEECH 2021
The LIUM Human Active Correction Platform for Speaker Diarization
Abstract
We developed a human assisted speaker diarization platform that enables a human annotator to correct the output of any speaker diarization system by providing a graphical view of the diarization segmentation and clustering steps while guiding the human annotator to optimize the correction process and easily improve the resulting diarization.
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Interdisciplinary Bridge
— Artificial Intelligence and Machine Learning
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Hot Topic Early Bird
— error correction
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio