{"status":"public","_id":"33847","user_id":"44393","year":"2022","ddc":["000"],"citation":{"ama":"Cord-Landwehr T, von Neumann T, Boeddeker C, Haeb-Umbach R. MMS-MSG: A Multi-purpose Multi-Speaker Mixture Signal Generator. In: 2022 International Workshop on Acoustic Signal Enhancement (IWAENC). ; 2022.","ieee":"T. Cord-Landwehr, T. von Neumann, C. Boeddeker, and R. Haeb-Umbach, “MMS-MSG: A Multi-purpose Multi-Speaker Mixture Signal Generator,” presented at the 2022 International Workshop on Acoustic Signal Enhancement (IWAENC), Bamberg, 2022.","bibtex":"@inproceedings{Cord-Landwehr_von Neumann_Boeddeker_Haeb-Umbach_2022, title={MMS-MSG: A Multi-purpose Multi-Speaker Mixture Signal Generator}, booktitle={2022 International Workshop on Acoustic Signal Enhancement (IWAENC)}, author={Cord-Landwehr, Tobias and von Neumann, Thilo and Boeddeker, Christoph and Haeb-Umbach, Reinhold}, year={2022} }","short":"T. Cord-Landwehr, T. von Neumann, C. Boeddeker, R. Haeb-Umbach, in: 2022 International Workshop on Acoustic Signal Enhancement (IWAENC), 2022.","apa":"Cord-Landwehr, T., von Neumann, T., Boeddeker, C., & Haeb-Umbach, R. (2022). MMS-MSG: A Multi-purpose Multi-Speaker Mixture Signal Generator. 2022 International Workshop on Acoustic Signal Enhancement (IWAENC). 2022 International Workshop on Acoustic Signal Enhancement (IWAENC), Bamberg.","chicago":"Cord-Landwehr, Tobias, Thilo von Neumann, Christoph Boeddeker, and Reinhold Haeb-Umbach. “MMS-MSG: A Multi-Purpose Multi-Speaker Mixture Signal Generator.” In 2022 International Workshop on Acoustic Signal Enhancement (IWAENC), 2022.","mla":"Cord-Landwehr, Tobias, et al. “MMS-MSG: A Multi-Purpose Multi-Speaker Mixture Signal Generator.” 2022 International Workshop on Acoustic Signal Enhancement (IWAENC), 2022."},"type":"conference","oa":"1","quality_controlled":"1","language":[{"iso":"eng"}],"publication":"2022 International Workshop on Acoustic Signal Enhancement (IWAENC)","file_date_updated":"2023-11-15T14:54:56Z","external_id":{"arxiv":["2209.11494"]},"date_created":"2022-10-20T14:02:14Z","author":[{"full_name":"Cord-Landwehr, Tobias","last_name":"Cord-Landwehr","first_name":"Tobias","id":"44393"},{"orcid":"https://orcid.org/0000-0002-7717-8670","last_name":"von Neumann","full_name":"von Neumann, Thilo","first_name":"Thilo","id":"49870"},{"full_name":"Boeddeker, Christoph","last_name":"Boeddeker","id":"40767","first_name":"Christoph"},{"full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach","first_name":"Reinhold","id":"242"}],"has_accepted_license":"1","project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"department":[{"_id":"54"}],"file":[{"relation":"main_file","file_size":177975,"creator":"cord","date_created":"2023-11-15T14:54:56Z","content_type":"application/pdf","access_level":"open_access","file_id":"48931","file_name":"mms_msg_camera_ready.pdf","date_updated":"2023-11-15T14:54:56Z"}],"date_updated":"2023-11-15T14:55:14Z","title":"MMS-MSG: A Multi-purpose Multi-Speaker Mixture Signal Generator","abstract":[{"text":"The scope of speech enhancement has changed from a monolithic view of single,\r\nindependent tasks, to a joint processing of complex conversational speech\r\nrecordings. Training and evaluation of these single tasks requires synthetic\r\ndata with access to intermediate signals that is as close as possible to the\r\nevaluation scenario. As such data often is not available, many works instead\r\nuse specialized databases for the training of each system component, e.g\r\nWSJ0-mix for source separation. We present a Multi-purpose Multi-Speaker\r\nMixture Signal Generator (MMS-MSG) for generating a variety of speech mixture\r\nsignals based on any speech corpus, ranging from classical anechoic mixtures\r\n(e.g., WSJ0-mix) over reverberant mixtures (e.g., SMS-WSJ) to meeting-style\r\ndata. Its highly modular and flexible structure allows for the simulation of\r\ndiverse environments and dynamic mixing, while simultaneously enabling an easy\r\nextension and modification to generate new scenarios and mixture types. These\r\nmeetings can be used for prototyping, evaluation, or training purposes. We\r\nprovide example evaluation data and baseline results for meetings based on the\r\nWSJ corpus. Further, we demonstrate the usefulness for realistic scenarios by\r\nusing MMS-MSG to provide training data for the LibriCSS database.","lang":"eng"}],"conference":{"location":"Bamberg","name":"2022 International Workshop on Acoustic Signal Enhancement (IWAENC)"}}