{"id":"https://openalex.org/W4410049367","doi":"https://doi.org/10.1145/3722570.3726887","title":"DUal-NET: A Transformer-Based U-Net Model for Denoising Bone Conduction Speech","display_name":"DUal-NET: A Transformer-Based U-Net Model for Denoising Bone Conduction Speech","publication_year":2025,"publication_date":"2025-05-03","ids":{"openalex":"https://openalex.org/W4410049367","doi":"https://doi.org/10.1145/3722570.3726887"},"language":"en","primary_location":{"id":"doi:10.1145/3722570.3726887","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3722570.3726887","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Workshop on Human-Centered Sensing, Modeling, and Intelligent Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3722570.3726887","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101443153","display_name":"Yueyuan Sui","orcid":"https://orcid.org/0009-0007-1602-5359"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yueyuan Sui","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA"],"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012350268","display_name":"Minghui Zhao","orcid":"https://orcid.org/0000-0003-1999-0078"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minghui Zhao","raw_affiliation_strings":["Columbia University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102703573","display_name":"Junxi Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junxi Xia","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA"],"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079104302","display_name":"Yiting Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiting Zhang","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA"],"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063824268","display_name":"Xiaofan Jiang","orcid":"https://orcid.org/0000-0002-6480-0299"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaofan Jiang","raw_affiliation_strings":["Columbia University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051730108","display_name":"Stephen Xia","orcid":"https://orcid.org/0000-0001-5713-8885"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen Xia","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA"],"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101443153"],"corresponding_institution_ids":["https://openalex.org/I111979921"],"apc_list":null,"apc_paid":null,"fwci":2.8414,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.90575823,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"47","last_page":"51"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5874508619308472},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5267555117607117},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5143388509750366},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.4994845390319824},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36854904890060425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2780890464782715},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.22190004587173462},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18533849716186523},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1718226671218872},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.1274663209915161}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5874508619308472},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5267555117607117},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5143388509750366},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.4994845390319824},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36854904890060425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2780890464782715},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.22190004587173462},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18533849716186523},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1718226671218872},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.1274663209915161},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3722570.3726887","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3722570.3726887","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Workshop on Human-Centered Sensing, Modeling, and Intelligent Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3722570.3726887","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3722570.3726887","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Workshop on Human-Centered Sensing, Modeling, and Intelligent Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1552314771","https://openalex.org/W1989337816","https://openalex.org/W2053408600","https://openalex.org/W2067295501","https://openalex.org/W2408744528","https://openalex.org/W2587994092","https://openalex.org/W2918296821","https://openalex.org/W2952218014","https://openalex.org/W2962935966","https://openalex.org/W3015338123","https://openalex.org/W3096282833","https://openalex.org/W3164152285","https://openalex.org/W3211264909","https://openalex.org/W4200628964","https://openalex.org/W4224933800","https://openalex.org/W4285815038","https://openalex.org/W4294891788","https://openalex.org/W4294891986","https://openalex.org/W4372260387","https://openalex.org/W4380928279","https://openalex.org/W4395447416","https://openalex.org/W4405015015"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"We":[0,138],"propose":[1],"\"DUal-NET\",":[2],"a":[3,35,72],"novel":[4],"transformer-based":[5],"model":[6],"for":[7,26,167],"enhancing":[8],"speech":[9,76,84,146,165],"capture":[10],"through":[11,123],"bone":[12],"conduction":[13],"headsets":[14,114],"in":[15,58,107,134,153],"human-centered":[16,168],"sensing":[17,166],"systems.":[18],"As":[19],"wearable":[20],"bone-conduction":[21,38],"devices":[22],"become":[23],"increasingly":[24],"important":[25],"continuous":[27],"health":[28,171],"monitoring":[29],"and":[30,63,79,86,93,126,175],"ambient":[31],"computing,":[32],"they":[33,121],"face":[34],"unique":[36],"challenge:":[37],"microphones":[39],"can":[40,142],"receive":[41],"significant":[42],"interference":[43,97],"from":[44],"speakers":[45],"playing":[46],"audio":[47],"to":[48,67,103],"the":[49,54,61,96,104,119],"user,":[50],"this":[51,131],"occurs":[52],"because":[53],"headset":[55],"is":[56,99],"directly":[57],"contact":[59],"with":[60],"skull":[62],"induces":[64],"vibrations":[65],"similar":[66],"human":[68],"speech,":[69],"much":[70],"like":[71],"user":[73],"speaking,":[74],"degrading":[75],"recognition":[77],"accuracy":[78],"communication":[80],"quality.":[81],"Existing":[82],"state-of-art":[83,151],"enhancement":[85],"sound":[87],"source":[88],"separation":[89],"methods":[90,152],"are":[91],"'blind'":[92],"assume":[94],"that":[95,140],"noise":[98],"not":[100],"available":[101],"due":[102],"inherent":[105],"difficulty":[106],"observing":[108],"clean":[109],"correlated":[110],"noise.":[111],"By":[112],"contrast,":[113],"have":[115],"full":[116],"knowledge":[117],"of":[118,130],"sounds":[120],"play":[122],"their":[124],"speakers,":[125],"DUal-NET":[127,141],"takes":[128],"advantage":[129],"raw":[132],"signal":[133],"its":[135],"denoising":[136],"process.":[137],"demonstrate":[139],"significantly":[143],"improve":[144],"standard":[145],"quality":[147],"metrics":[148],"over":[149],"existing":[150],"realistic":[154],"scenarios":[155],"(PESQ:":[156],"135%,":[157],"STOI:":[158],"50%,":[159],"LSD:":[160],"66%),":[161],"enabling":[162],"more":[163],"accurate":[164],"applications":[169],"including":[170],"monitoring,":[172],"personalized":[173],"assistants,":[174],"augmented":[176],"communication.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}