{"id":"https://openalex.org/W4406972944","doi":"https://doi.org/10.1587/transfun.2024eap1173","title":"Monaural Speech Enhancement with Full-Convolution Attention Module and Post-Processing Strategy","display_name":"Monaural Speech Enhancement with Full-Convolution Attention Module and Post-Processing Strategy","publication_year":2025,"publication_date":"2025-01-30","ids":{"openalex":"https://openalex.org/W4406972944","doi":"https://doi.org/10.1587/transfun.2024eap1173"},"language":"en","primary_location":{"id":"doi:10.1587/transfun.2024eap1173","is_oa":false,"landing_page_url":"https://doi.org/10.1587/transfun.2024eap1173","pdf_url":null,"source":{"id":"https://openalex.org/S166990724","display_name":"IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences","issn_l":"0916-8508","issn":["0916-8508","1745-1337"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences","raw_type":"journal-article"},"type":"article","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/A5102779662","display_name":"Lin Zhou","orcid":"https://orcid.org/0000-0003-2898-5633"},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Lin ZHOU","raw_affiliation_strings":["School of Information Science and Engineering, Southeast University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Southeast University","institution_ids":["https://openalex.org/I4210090971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100510387","display_name":"Y. F. Cao","orcid":"https://orcid.org/0009-0003-6885-7297"},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Yanxiang CAO","raw_affiliation_strings":["School of Information Science and Engineering, Southeast University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Southeast University","institution_ids":["https://openalex.org/I4210090971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101729503","display_name":"Qirui Wang","orcid":"https://orcid.org/0000-0003-3653-2984"},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Qirui WANG","raw_affiliation_strings":["School of Information Science and Engineering, Southeast University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Southeast University","institution_ids":["https://openalex.org/I4210090971"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yunling CHENG","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Yunling CHENG","raw_affiliation_strings":["School of Information Science and Engineering, Southeast University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Southeast University","institution_ids":["https://openalex.org/I4210090971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052230413","display_name":"Chenjie Zhuang","orcid":"https://orcid.org/0009-0001-4384-7143"},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Chenghao ZHUANG","raw_affiliation_strings":["School of Information Science and Engineering, Southeast University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Southeast University","institution_ids":["https://openalex.org/I4210090971"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059681196","display_name":"Yuxi Deng","orcid":"https://orcid.org/0009-0007-3843-8824"},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Yuxi DENG","raw_affiliation_strings":["School of Information Science and Engineering, Southeast University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Southeast University","institution_ids":["https://openalex.org/I4210090971"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01308543,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"E108.A","issue":"8","first_page":"996","last_page":"1004"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9972000122070312,"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":0.9972000122070312,"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":0.9699000120162964,"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/T13289","display_name":"Infant Health and Development","score":0.9430999755859375,"subfield":{"id":"https://openalex.org/subfields/3611","display_name":"Pharmacy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/monaural","display_name":"Monaural","score":0.81743323802948},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6998597383499146},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.6870743632316589},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6758475303649902},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5922557711601257},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.527804970741272},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23199650645256042},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22007831931114197},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.0864916741847992}],"concepts":[{"id":"https://openalex.org/C102894143","wikidata":"https://www.wikidata.org/wiki/Q1323979","display_name":"Monaural","level":2,"score":0.81743323802948},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6998597383499146},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.6870743632316589},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6758475303649902},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5922557711601257},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.527804970741272},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23199650645256042},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22007831931114197},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.0864916741847992},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transfun.2024eap1173","is_oa":false,"landing_page_url":"https://doi.org/10.1587/transfun.2024eap1173","pdf_url":null,"source":{"id":"https://openalex.org/S166990724","display_name":"IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences","issn_l":"0916-8508","issn":["0916-8508","1745-1337"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2036157531","https://openalex.org/W2056406069","https://openalex.org/W1974981856","https://openalex.org/W1518859147","https://openalex.org/W2045506488","https://openalex.org/W1983045063","https://openalex.org/W2401567014","https://openalex.org/W2538939196","https://openalex.org/W3096184950","https://openalex.org/W4231424160"],"abstract_inverted_index":{"The":[0],"performance":[1,29,80],"of":[2,142,146,165,178,202],"phase-aware":[3,32,89],"speech":[4,33,166,191],"enhancement":[5,192],"has":[6],"improved":[7],"dramatically":[8],"in":[9,30,44,91,113,200],"recent":[10,190],"years.":[11],"Combined":[12],"with":[13,41],"complex":[14,17,21,98,131],"convolutions,":[15],"deep":[16,20,97],"U-Net":[18,99],"and":[19,48,81,121,133,167,182],"convolution":[22],"recurrent":[23,108],"network":[24,110],"(DCCRN)":[25],"have":[26],"achieved":[27],"superior":[28],"monaural":[31,88],"enhancement.":[34],"However,":[35],"these":[36],"methods":[37],"optimize":[38],"the":[39,45,50,54,59,66,77,92,96,114,130,144,147,163,176,179,183,194],"models":[40],"loss":[42],"only":[43],"time":[46],"domain":[47,94],"ignore":[49],"global":[51],"correlations":[52],"along":[53],"frequency":[55,63],"axis":[56],"that":[57],"capture":[58],"harmonic":[60],"information":[61],"between":[62,79,129],"bands.":[64],"Also,":[65,186],"algorithms":[67],"based":[68],"on":[69,95],"self-attention":[70],"exhibit":[71],"high":[72],"computational":[73,82],"complexity.":[74],"To":[75],"strike":[76],"balance":[78],"cost,":[83],"we":[84],"propose":[85],"a":[86,106,138,156],"new":[87],"method":[90,104,181],"time-frequency":[93],"structure.":[100],"Specifically,":[101],"this":[102],"proposed":[103,195],"incorporates":[105],"dual-path":[107,180],"neural":[109],"(DPRNN)":[111],"block":[112],"bottleneck":[115],"to":[116,161,174,188],"model":[117],"both":[118],"frequency-domain":[119],"correlation":[120],"time-domain":[122],"correlation.":[123],"Additionally,":[124],"attention":[125],"modules":[126],"are":[127],"implemented":[128],"encoder":[132],"decoder":[134],"layers.":[135],"This":[136],"introduces":[137],"more":[139],"effective":[140],"way":[141],"enhancing":[143],"representation":[145],"model,":[148],"rather":[149],"than":[150],"directly":[151],"concatenating":[152],"their":[153],"outputs.":[154],"Finally,":[155],"post-processing":[157,184],"module":[158],"is":[159],"introduced":[160],"mitigate":[162],"over-suppression":[164],"residual":[168],"noise.":[169],"We":[170],"conduct":[171],"ablation":[172],"studies":[173],"validate":[175],"effectiveness":[177],"module.":[185],"compared":[187],"several":[189],"models,":[193],"algorithm":[196],"demonstrates":[197],"remarkable":[198],"improvements":[199],"terms":[201],"objective":[203],"metrics.":[204]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}