{"author":[{"first_name":"Thilo","last_name":"von Neumann","full_name":"von Neumann, Thilo"},{"full_name":"Kinoshita, Keisuke","last_name":"Kinoshita","first_name":"Keisuke"},{"last_name":"Delcroix","full_name":"Delcroix, Marc","first_name":"Marc"},{"last_name":"Araki","full_name":"Araki, Shoko","first_name":"Shoko"},{"full_name":"Nakatani, Tomohiro","last_name":"Nakatani","first_name":"Tomohiro"},{"id":"242","full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach","first_name":"Reinhold"}],"title":"All-neural Online Source Separation, Counting, and Diarization for Meeting Analysis","citation":{"ieee":"T. von Neumann, K. Kinoshita, M. Delcroix, S. Araki, T. Nakatani, and R. Haeb-Umbach, “All-neural Online Source Separation, Counting, and Diarization for Meeting Analysis,” in ICASSP 2019, Brighton, UK, 2019.","chicago":"Neumann, Thilo von, Keisuke Kinoshita, Marc Delcroix, Shoko Araki, Tomohiro Nakatani, and Reinhold Haeb-Umbach. “All-Neural Online Source Separation, Counting, and Diarization for Meeting Analysis.” In ICASSP 2019, Brighton, UK, 2019.","bibtex":"@inproceedings{von Neumann_Kinoshita_Delcroix_Araki_Nakatani_Haeb-Umbach_2019, title={All-neural Online Source Separation, Counting, and Diarization for Meeting Analysis}, booktitle={ICASSP 2019, Brighton, UK}, author={von Neumann, Thilo and Kinoshita, Keisuke and Delcroix, Marc and Araki, Shoko and Nakatani, Tomohiro and Haeb-Umbach, Reinhold}, year={2019} }","ama":"von Neumann T, Kinoshita K, Delcroix M, Araki S, Nakatani T, Haeb-Umbach R. All-neural Online Source Separation, Counting, and Diarization for Meeting Analysis. In: ICASSP 2019, Brighton, UK. ; 2019.","mla":"von Neumann, Thilo, et al. “All-Neural Online Source Separation, Counting, and Diarization for Meeting Analysis.” ICASSP 2019, Brighton, UK, 2019.","short":"T. von Neumann, K. Kinoshita, M. Delcroix, S. Araki, T. Nakatani, R. Haeb-Umbach, in: ICASSP 2019, Brighton, UK, 2019.","apa":"von Neumann, T., Kinoshita, K., Delcroix, M., Araki, S., Nakatani, T., & Haeb-Umbach, R. (2019). All-neural Online Source Separation, Counting, and Diarization for Meeting Analysis. In ICASSP 2019, Brighton, UK."},"status":"public","file_date_updated":"2019-09-19T07:05:57Z","oa":"1","abstract":[{"text":"Automatic meeting analysis comprises the tasks of speaker counting, speaker diarization, and the separation of overlapped speech, followed by automatic speech recognition. This all has to be carried out on arbitrarily long sessions and, ideally, in an online or block-online manner. While significant progress has been made on individual tasks, this paper presents for the first time an all-neural approach to simultaneous speaker counting, diarization and source separation. The NN-based estimator operates in a block-online fashion and tracks speakers even if they remain silent for a number of time blocks, thus learning a stable output order for the separated sources. The neural network is recurrent over time as well as over the number of sources. The simulation experiments show that state of the art separation performance is achieved, while at the same time delivering good diarization and source counting results. It even generalizes well to an unseen large number of blocks.","lang":"eng"}],"publication":"ICASSP 2019, Brighton, UK","department":[{"_id":"54"}],"year":"2019","has_accepted_license":"1","type":"conference","file":[{"file_name":"ICASSP_2019_Neumann_Paper.pdf","relation":"main_file","date_updated":"2019-09-19T07:05:57Z","content_type":"application/pdf","creator":"huesera","date_created":"2019-09-18T08:28:39Z","file_id":"13272","access_level":"open_access","file_size":126453}],"date_updated":"2022-01-06T06:51:31Z","_id":"13271","user_id":"59789","language":[{"iso":"eng"}],"date_created":"2019-09-18T08:20:50Z","ddc":["000"]}