Dataset Groups Activity Stream End-to-End Neural Speaker Diarization with Permutation-Free Objectives The End-to-End Neural Speaker Diarization dataset is a benchmark for speaker diarization. BibTex: @dataset{Yusuke_Fujita_and_Naoyuki_Kanda_and_Shota_Horiguchi_and_Kenji_Nagamatsu_and_Shinji_Watanabe_2024, abstract = {The End-to-End Neural Speaker Diarization dataset is a benchmark for speaker diarization.}, author = {Yusuke Fujita and Naoyuki Kanda and Shota Horiguchi and Kenji Nagamatsu and Shinji Watanabe}, doi = {10.57702/7o28s464}, institution = {No Organization}, keyword = {'End-to-End Neural Speaker Diarization', 'speaker diarization', 'speech recognition'}, month = {dec}, publisher = {TIB}, title = {End-to-End Neural Speaker Diarization with Permutation-Free Objectives}, url = {https://service.tib.eu/ldmservice/dataset/end-to-end-neural-speaker-diarization-with-permutation-free-objectives}, year = {2024} }
