{"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/deep-neural-networks-for-multiple-speaker","title":"Deep Neural Networks for Multiple Speaker Detection and Localization","arxiv_id":"1711.11565","date":"2017-11-30","proceeding":null,"authors":["Weipeng He","Petr Motlicek","Jean-Marc Odobez"],"abstract":"We propose to use neural networks for simultaneous detection and localization\nof multiple sound sources in human-robot interaction. In contrast to\nconventional signal processing techniques, neural network-based sound source\nlocalization methods require fewer strong assumptions about the environment.\nPrevious neural network-based methods have been focusing on localizing a single\nsound source, which do not extend to multiple sources in terms of detection and\nlocalization. In this paper, we thus propose a likelihood-based encoding of the\nnetwork output, which naturally allows the detection of an arbitrary number of\nsources. In addition, we investigate the use of sub-band cross-correlation\ninformation as features for better localization in sound mixtures, as well as\nthree different network architectures based on different motivations.\nExperiments on real data recorded from a robot show that our proposed methods\nsignificantly outperform the popular spatial spectrum-based approaches.","url_abs":"http://arxiv.org/abs/1711.11565v3","url_pdf":"http://arxiv.org/pdf/1711.11565v3.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":[{"paper_slug":"deep-neural-networks-for-multiple-speaker","repo_url":"https://github.com/deepspike/Binary-Neural-Network-for-Sound-Localization","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"sound-source-localization","task_name":"Sound Source Localization"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1711.11565","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}