{"id":"https://openalex.org/W4406859956","doi":"https://doi.org/10.1109/apsipaasc63619.2025.10849218","title":"U-Mamba-Net: A highly efficient Mamba-based U-net style network for noisy and reverberant speech separation","display_name":"U-Mamba-Net: A highly efficient Mamba-based U-net style network for noisy and reverberant speech separation","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406859956","doi":"https://doi.org/10.1109/apsipaasc63619.2025.10849218"},"language":"en","primary_location":{"id":"doi:10.1109/apsipaasc63619.2025.10849218","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc63619.2025.10849218","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011230206","display_name":"Shaoxiang Dang","orcid":null},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shaoxiang Dang","raw_affiliation_strings":["Nagoya University,Graduate School of Informatics,Nagoya,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nagoya University,Graduate School of Informatics,Nagoya,Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102357809","display_name":"Tetsuya Matsumoto","orcid":null},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya Matsumoto","raw_affiliation_strings":["Nagoya University,Graduate School of Informatics,Nagoya,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nagoya University,Graduate School of Informatics,Nagoya,Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005239900","display_name":"Yoshinori Takeuchi","orcid":"https://orcid.org/0000-0001-9821-0513"},"institutions":[{"id":"https://openalex.org/I51803142","display_name":"Daido University","ror":"https://ror.org/02cntp233","country_code":"JP","type":"education","lineage":["https://openalex.org/I51803142"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshinori Takeuchi","raw_affiliation_strings":["Daido University,School of Informatics,Nagoya,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daido University,School of Informatics,Nagoya,Japan","institution_ids":["https://openalex.org/I51803142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101943961","display_name":"Hiroaki Kudo","orcid":"https://orcid.org/0009-0006-4886-4969"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroaki Kudo","raw_affiliation_strings":["Nagoya University,Graduate School of Informatics,Nagoya,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nagoya University,Graduate School of Informatics,Nagoya,Japan","institution_ids":["https://openalex.org/I60134161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6686,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.86710284,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9993000030517578,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.5159264802932739},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.4953850507736206},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4821619391441345},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.42089247703552246},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3653923571109772},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.210603266954422},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.09675589203834534},{"id":"https://openalex.org/keywords/visual-arts","display_name":"Visual arts","score":0.04337772727012634}],"concepts":[{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.5159264802932739},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.4953850507736206},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4821619391441345},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.42089247703552246},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3653923571109772},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.210603266954422},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.09675589203834534},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.04337772727012634},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"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:10.1109/apsipaasc63619.2025.10849218","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc63619.2025.10849218","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322916","display_name":"Nagoya University","ror":"https://ror.org/04chrp450"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2127851351","https://openalex.org/W2141998673","https://openalex.org/W2144404214","https://openalex.org/W2734774145","https://openalex.org/W2763188033","https://openalex.org/W2952218014","https://openalex.org/W2962935966","https://openalex.org/W2964058413","https://openalex.org/W2972541922","https://openalex.org/W3015191643","https://openalex.org/W3015199127","https://openalex.org/W3042857426","https://openalex.org/W3163652268","https://openalex.org/W4385245566","https://openalex.org/W4392904327","https://openalex.org/W6777776875","https://openalex.org/W6803444062","https://openalex.org/W6839395979","https://openalex.org/W6859298233"],"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/W2071676784","https://openalex.org/W2376932109","https://openalex.org/W2001405890"],"abstract_inverted_index":{"The":[0,138],"topic":[1],"of":[2,42],"speech":[3,8,20,82],"separation":[4,83],"involves":[5],"separating":[6],"mixed":[7],"with":[9,16,129,146],"multiple":[10],"overlapping":[11],"speakers":[12],"into":[13],"several":[14],"streams,":[15],"each":[17],"stream":[18],"containing":[19],"from":[21],"only":[22],"one":[23],"speaker.":[24],"Many":[25],"highly":[26],"effective":[27],"models":[28,44],"have":[29,45],"emerged":[30],"and":[31,39,61,66,110],"proliferated":[32],"rapidly":[33],"over":[34],"time.":[35],"However,":[36],"the":[37,54,133],"size":[38],"computational":[40,62,149],"load":[41],"these":[43],"also":[46],"increased":[47],"accordingly.":[48],"This":[49],"is":[50,88,101],"a":[51,76,89,102,125],"disaster":[52],"for":[53,81],"community,":[55],"as":[56,124],"researchers":[57],"need":[58],"more":[59],"time":[60],"resources":[63],"to":[64,115],"reproduce":[65],"compare":[67],"existing":[68],"models.":[69],"In":[70,119],"this":[71],"paper,":[72],"we":[73],"propose":[74],"U-mamba-net:":[75],"lightweight":[77],"Mamba-based":[78],"U-style":[79,99],"model":[80,93,135],"in":[84],"complex":[85],"environments.":[86],"Mamba":[87,122],"state":[90],"space":[91],"sequence":[92],"that":[94,141],"incorporates":[95],"feature":[96,126],"selection":[97],"capabilities.":[98],"network":[100,106],"fully":[103],"convolutional":[104],"neural":[105],"whose":[107],"symmetric":[108],"contracting":[109],"expansive":[111],"paths":[112],"are":[113],"able":[114],"learn":[116],"multi-resolution":[117],"features.":[118],"our":[120],"work,":[121],"serves":[123],"filter,":[127],"alternating":[128],"U-Net.":[130],"We":[131],"test":[132],"proposed":[134],"on":[136],"Libri2mix.":[137],"results":[139],"show":[140],"U-Mamba-Net":[142],"achieves":[143],"improved":[144],"performance":[145],"quite":[147],"low":[148],"cost.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}