Towards Improving End-to-End Neural Diarization

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• Dr Federico Landini, Brno University of Technology
• Tuesday 06 August 2024, 12:00-13:00
• Hybrid: JDB Seminar Room, Engineering Department or Zoom: https://cam-ac-uk.zoom.us/j/88498768580?pwd=1zjqKCU8AiRcd7ZR6SXBTjc0ScElsc.1.

If you have a question about this talk, please contact Simon Webster McKnight.

Until recently, diarization systems were formed by different submodules like voice activity detection, embedding extraction and clustering of such embeddings. However, the last quinquennial has seen many developments in diarization towards end-to-end models. These models, unlike modular ones, are trained to optimize a diarization-related loss and provide a more straightforward inference. Nevertheless, end-to-end systems still pose certain challenges. In this talk, I will comment on some of the work I did addressing some of their problems regarding synthetic training data generation and handling variable numbers of speakers.

This talk is part of the CUED Speech Group Seminars series.

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• CUED Speech Group Seminars
• Cambridge Forum of Science and Humanities
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• Guy Emerson's list
• Hybrid: JDB Seminar Room, Engineering Department or Zoom: https://cam-ac-uk.zoom.us/j/88498768580?pwd=1zjqKCU8AiRcd7ZR6SXBTjc0ScElsc.1
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