{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/dipco-dinner-party-corpus","title":"DiPCo -- Dinner Party Corpus","arxiv_id":"1909.13447","date":"2019-09-30","proceeding":null,"authors":["Maarten Van Segbroeck","Ahmed Zaid","Ksenia Kutsenko","Cirenia Huerta","Tinh Nguyen","Xuewen Luo","Björn Hoffmeister","Jan Trmal","Maurizio Omologo","Roland Maas"],"abstract":"We present a speech data corpus that simulates a \"dinner party\" scenario taking place in an everyday home environment. The corpus was created by recording multiple groups of four Amazon employee volunteers having a natural conversation in English around a dining table. The participants were recorded by a single-channel close-talk microphone and by five far-field 7-microphone array devices positioned at different locations in the recording room. The dataset contains the audio recordings and human labeled transcripts of a total of 10 sessions with a duration between 15 and 45 minutes. The corpus was created to advance in the field of noise robust and distant speech processing and is intended to serve as a public research and benchmarking data set.","url_abs":"https://arxiv.org/abs/1909.13447v1","url_pdf":"https://arxiv.org/pdf/1909.13447v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[],"tasks":[{"task_slug":"benchmarking","task_name":"Benchmarking"}],"methods":[],"datasets_introduced":[{"slug":"dipco","name":"DiPCo","full_name":"DiPCo -- Dinner Party Corpus"}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1909.13447","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}