{"id":145031,"date":"2005-09-01T00:00:00","date_gmt":"2005-09-01T00:00:00","guid":{"rendered":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/msr-research-item\/a-graphical-model-for-multi-sensory-speech-processing-in-air-and-bone-conductive-microphones\/"},"modified":"2018-10-16T20:07:31","modified_gmt":"2018-10-17T03:07:31","slug":"a-graphical-model-for-multi-sensory-speech-processing-in-air-and-bone-conductive-microphones","status":"publish","type":"msr-research-item","link":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/publication\/a-graphical-model-for-multi-sensory-speech-processing-in-air-and-bone-conductive-microphones\/","title":{"rendered":"A Graphical Model for Multi-Sensory Speech Processing in Air-and-Bone Conductive Microphones"},"content":{"rendered":"<div class=\"asset-content\">\n<p>In continuation of our previous work on using an air-and-boneconductive microphone for speech enhancement, in this paper we propose a graphical model based approach to estimating the clean speech signal given the noisy observations in the air sensor. We also show how the same model can be used as a speech\/non-speech classifier. With the aid of MOS (mean opinion score) tests we show, that the performance of the proposed model is better in comparison to our previously proposed direct filtering algorithm.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In continuation of our previous work on using an air-and-boneconductive microphone for speech enhancement, in this paper we propose a graphical model based approach to estimating the clean speech signal given the noisy observations in the air sensor. We also show how the same model can be used as a speech\/non-speech classifier. With the aid [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"International Speech Communication Association","msr_publisher_other":"","msr_booktitle":"Proc. of the Interspeech Conference","msr_chapter":"","msr_edition":"Proc. of the Interspeech Conference","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"\u00a9 2007 ISCA. Personal use of this material is permitted. However, permission to reprint\/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the ISCA and\/or the author.","msr_conference_name":"Proc. of the Interspeech Conference","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"A. Subramanya, Z. Zhang, Z. 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