{"id":"https://openalex.org/W4408354038","doi":"https://doi.org/10.1109/icassp49660.2025.10889723","title":"Data-Driven White Noise Gain Constrained Robust Superdirective Beamformer for Speech Enhancement","display_name":"Data-Driven White Noise Gain Constrained Robust Superdirective Beamformer for Speech Enhancement","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408354038","doi":"https://doi.org/10.1109/icassp49660.2025.10889723"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10889723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5008966430","display_name":"Hanchen Pei","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hanchen Pei","raw_affiliation_strings":["Wuhan University,School of Electronic Information,Wuhan,China,430072"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Electronic Information,Wuhan,China,430072","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034257180","display_name":"Gongping Huang","orcid":"https://orcid.org/0000-0002-6825-7473"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gongping Huang","raw_affiliation_strings":["Wuhan University,School of Electronic Information,Wuhan,China,430072"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Electronic Information,Wuhan,China,430072","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090329304","display_name":"Jilu Jin","orcid":"https://orcid.org/0000-0003-2967-8379"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jilu Jin","raw_affiliation_strings":["Northwestern Polytechnical University,CIAIC and Shaanxi Provincial Key Laboratory of Artificial Intelligence,Xi’an,China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,CIAIC and Shaanxi Provincial Key Laboratory of Artificial Intelligence,Xi’an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029277359","display_name":"Jianbo Ma","orcid":"https://orcid.org/0000-0003-0046-0835"},"institutions":[{"id":"https://openalex.org/I116121188","display_name":"Dolby (Netherlands)","ror":"https://ror.org/02kb3q578","country_code":"NL","type":"company","lineage":["https://openalex.org/I116121188","https://openalex.org/I4210093996"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jianbo Ma","raw_affiliation_strings":["Dolby Laboratories"],"affiliations":[{"raw_affiliation_string":"Dolby Laboratories","institution_ids":["https://openalex.org/I116121188"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102765381","display_name":"Zhizheng Wu","orcid":"https://orcid.org/0009-0001-1192-9857"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]},{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhizheng Wu","raw_affiliation_strings":["The Chinese University of Hong Kong,School of Data Science, Shenzhen Research Institute of Big Data,Shenzhen (CUHK-Shenzhen),China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,School of Data Science, Shenzhen Research Institute of Big Data,Shenzhen (CUHK-Shenzhen),China","institution_ids":["https://openalex.org/I4210116924","https://openalex.org/I4210099586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056129529","display_name":"Jingdong Chen","orcid":"https://orcid.org/0000-0003-0083-9247"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingdong Chen","raw_affiliation_strings":["Northwestern Polytechnical University,CIAIC and Shaanxi Provincial Key Laboratory of Artificial Intelligence,Xi’an,China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,CIAIC and Shaanxi Provincial Key Laboratory of Artificial Intelligence,Xi’an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071376063","display_name":"Jacob Benesty","orcid":"https://orcid.org/0000-0002-0036-5865"},"institutions":[{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]},{"id":"https://openalex.org/I39481719","display_name":"Institut National de la Recherche Scientifique","ror":"https://ror.org/04td37d32","country_code":"CA","type":"education","lineage":["https://openalex.org/I39481719","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jacob Benesty","raw_affiliation_strings":["University of Quebec,INRS-EMT,Montreal,Canada"],"affiliations":[{"raw_affiliation_string":"University of Quebec,INRS-EMT,Montreal,Canada","institution_ids":["https://openalex.org/I159129438","https://openalex.org/I39481719"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5008966430"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":4.9984,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.94189891,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"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":0.9995999932289124,"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":0.9995999932289124,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13289","display_name":"Infant Health and Development","score":0.9591000080108643,"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/speech-enhancement","display_name":"Speech enhancement","score":0.8335581421852112},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.6720141768455505},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6086524128913879},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5187357068061829},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39419686794281006},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.3514482378959656},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.22486311197280884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18889477849006653},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1780509650707245},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11523714661598206}],"concepts":[{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.8335581421852112},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.6720141768455505},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6086524128913879},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5187357068061829},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39419686794281006},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3514482378959656},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.22486311197280884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18889477849006653},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1780509650707245},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11523714661598206},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10889723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320331102","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1635512741","https://openalex.org/W1898225171","https://openalex.org/W1970606629","https://openalex.org/W2000789649","https://openalex.org/W2004406124","https://openalex.org/W2006121713","https://openalex.org/W2042662027","https://openalex.org/W2083835430","https://openalex.org/W2093225945","https://openalex.org/W2117678320","https://openalex.org/W2141998673","https://openalex.org/W2148692373","https://openalex.org/W2159335421","https://openalex.org/W2173857413","https://openalex.org/W2295905273","https://openalex.org/W2399153348","https://openalex.org/W2499048335","https://openalex.org/W2534542549","https://openalex.org/W2600579021","https://openalex.org/W2888493610","https://openalex.org/W2964058413","https://openalex.org/W3015679215","https://openalex.org/W3124547804","https://openalex.org/W4239006079","https://openalex.org/W4249052411","https://openalex.org/W4296068418","https://openalex.org/W4312336225","https://openalex.org/W4366147539","https://openalex.org/W4372267870","https://openalex.org/W4385693006","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W1630865680","https://openalex.org/W4214692512","https://openalex.org/W2009454197","https://openalex.org/W2373767407","https://openalex.org/W2516933085","https://openalex.org/W3168109306","https://openalex.org/W2030139799","https://openalex.org/W2089240210","https://openalex.org/W3096184950","https://openalex.org/W4231424160"],"abstract_inverted_index":{"Superdirective":[0],"beamformers":[1],"are":[2],"highly":[3],"effective":[4],"at":[5],"suppressing":[6],"directional":[7],"interference":[8],"and":[9,71,122],"diffuse":[10],"noise,":[11],"but":[12],"their":[13],"practical":[14],"use":[15],"is":[16,75],"often":[17],"constrained":[18],"by":[19,33,77],"the":[20,38,45,63,118],"problem":[21,82],"of":[22,117],"white":[23,39],"noise":[24,40,51],"amplification.":[25],"Robust":[26],"superdirective":[27,73,92],"beamforming":[28],"methods":[29],"typically":[30],"address":[31],"this":[32,88,107],"imposing":[34],"a":[35,58,68,79,97,102,111],"constraint":[36],"on":[37,96],"gain":[41],"(WNG).":[42],"However,":[43],"determining":[44],"appropriate":[46],"WNG":[47,65,98],"threshold":[48,99],"in":[49],"varying":[50],"environments":[52],"remains":[53],"unclear.":[54],"This":[55],"paper":[56],"introduces":[57],"data-driven":[59],"approach":[60,108],"to":[61],"estimating":[62],"optimal":[64],"threshold.":[66],"Subsequently,":[67],"more":[69],"versatile":[70],"robust":[72],"beamformer":[74],"developed":[76],"solving":[78],"quadratic":[80],"eigenvalue":[81],"(QEP).":[83],"Experimental":[84],"results":[85],"show":[86],"that":[87],"method":[89],"outperforms":[90],"traditional":[91],"beamformers,":[93],"which":[94],"rely":[95],"set":[100],"through":[101],"fixed":[103],"search":[104],"range.":[105],"Importantly,":[106],"functions":[109],"as":[110],"distortionless":[112],"beamformer,":[113],"maintaining":[114],"high":[115],"fidelity":[116],"desired":[119],"acoustic":[120],"signal":[121],"allowing":[123],"for":[124],"additional":[125],"post-filtering":[126],"if":[127],"required.":[128]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}