Dataset Groups Activity Stream Explainable Deep Clustering for Monaural Speech Separation The proposed X-DC model uses a dataset of mixed speech signals of two, four, or eight speakers. BibTex: @dataset{Chihiro_Watanabe_and_Hirokazu_Kameoka_2024, abstract = {The proposed X-DC model uses a dataset of mixed speech signals of two, four, or eight speakers.}, author = {Chihiro Watanabe and Hirokazu Kameoka}, doi = {10.57702/907sumtn}, institution = {No Organization}, keyword = {'deep clustering', 'explainable deep learning', 'speech separation'}, month = {dec}, publisher = {TIB}, title = {Explainable Deep Clustering for Monaural Speech Separation}, url = {https://service.tib.eu/ldmservice/dataset/explainable-deep-clustering-for-monaural-speech-separation}, year = {2024} }
