{"id":"https://openalex.org/W2911728061","doi":"https://doi.org/10.1109/icdsp.2018.8631595","title":"An efficient and robust speech dereverberation method using spherical microphone array","display_name":"An efficient and robust speech dereverberation method using spherical microphone array","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2911728061","doi":"https://doi.org/10.1109/icdsp.2018.8631595","mag":"2911728061"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2018.8631595","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2018.8631595","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)","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/A5100402458","display_name":"Jian Li","orcid":"https://orcid.org/0000-0002-0030-1423"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Li","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013125451","display_name":"Jiance Ding","orcid":"https://orcid.org/0000-0003-1753-8897"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiance Ding","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070266277","display_name":"Chengshi Zheng","orcid":"https://orcid.org/0000-0001-5656-994X"},"institutions":[{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengshi Zheng","raw_affiliation_strings":["Key Laboratory of Noise and Vibration Control, Institute of Acoustics, CAS"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Noise and Vibration Control, Institute of Acoustics, CAS","institution_ids":["https://openalex.org/I4210099069"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100711527","display_name":"Xiaodong Li","orcid":"https://orcid.org/0000-0002-4170-0076"},"institutions":[{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Li","raw_affiliation_strings":["Key Laboratory of Noise and Vibration Control, Institute of Acoustics, CAS"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Noise and Vibration Control, Institute of Acoustics, CAS","institution_ids":["https://openalex.org/I4210099069"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100402458"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17847908,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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":1.0,"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":1.0,"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":0.9991000294685364,"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/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reverberation","display_name":"Reverberation","score":0.7578355073928833},{"id":"https://openalex.org/keywords/spherical-harmonics","display_name":"Spherical harmonics","score":0.683035135269165},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5897156596183777},{"id":"https://openalex.org/keywords/pesq","display_name":"PESQ","score":0.5048714280128479},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5018754005432129},{"id":"https://openalex.org/keywords/microphone-array","display_name":"Microphone array","score":0.5005936622619629},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.44098666310310364},{"id":"https://openalex.org/keywords/harmonic","display_name":"Harmonic","score":0.44065025448799133},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42700162529945374},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.40988221764564514},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.4023187458515167},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35415297746658325},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3244119882583618},{"id":"https://openalex.org/keywords/loudspeaker","display_name":"Loudspeaker","score":0.2808580696582794},{"id":"https://openalex.org/keywords/background-noise","display_name":"Background noise","score":0.22785604000091553},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11555656790733337},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10243391990661621},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09154090285301208},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08352047204971313}],"concepts":[{"id":"https://openalex.org/C95851461","wikidata":"https://www.wikidata.org/wiki/Q468809","display_name":"Reverberation","level":2,"score":0.7578355073928833},{"id":"https://openalex.org/C3768446","wikidata":"https://www.wikidata.org/wiki/Q877100","display_name":"Spherical harmonics","level":2,"score":0.683035135269165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5897156596183777},{"id":"https://openalex.org/C103734657","wikidata":"https://www.wikidata.org/wiki/Q2739975","display_name":"PESQ","level":4,"score":0.5048714280128479},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5018754005432129},{"id":"https://openalex.org/C2778806681","wikidata":"https://www.wikidata.org/wiki/Q907293","display_name":"Microphone array","level":4,"score":0.5005936622619629},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.44098666310310364},{"id":"https://openalex.org/C127934551","wikidata":"https://www.wikidata.org/wiki/Q1148098","display_name":"Harmonic","level":2,"score":0.44065025448799133},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42700162529945374},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.40988221764564514},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.4023187458515167},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35415297746658325},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3244119882583618},{"id":"https://openalex.org/C157138929","wikidata":"https://www.wikidata.org/wiki/Q570","display_name":"Loudspeaker","level":2,"score":0.2808580696582794},{"id":"https://openalex.org/C100675267","wikidata":"https://www.wikidata.org/wiki/Q1371624","display_name":"Background noise","level":2,"score":0.22785604000091553},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11555656790733337},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10243391990661621},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09154090285301208},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08352047204971313},{"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/icdsp.2018.8631595","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2018.8631595","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1552314771","https://openalex.org/W1969110495","https://openalex.org/W2031105940","https://openalex.org/W2061074721","https://openalex.org/W2094796867","https://openalex.org/W2125114513","https://openalex.org/W2140571699","https://openalex.org/W2164502538","https://openalex.org/W2166900718","https://openalex.org/W2188162373","https://openalex.org/W2537397347","https://openalex.org/W2557731587","https://openalex.org/W2773198186","https://openalex.org/W3124056356","https://openalex.org/W3127686677"],"related_works":["https://openalex.org/W2058482658","https://openalex.org/W3016109656","https://openalex.org/W1973895194","https://openalex.org/W2546593254","https://openalex.org/W3135613579","https://openalex.org/W2166831097","https://openalex.org/W4388016426","https://openalex.org/W1980687383","https://openalex.org/W4386746628","https://openalex.org/W4387473770"],"abstract_inverted_index":{"In":[0,21],"this":[1,62],"paper,":[2],"we":[3,64],"present":[4],"a":[5,66],"robust":[6],"adaptive":[7],"reverberation":[8],"cancellation":[9],"method":[10,68,92],"based":[11],"on":[12],"multi-channel":[13],"linear":[14],"prediction":[15],"in":[16],"the":[17,23,38,49,75,80,83,90,105,109],"spherical":[18,24,57,71],"harmonic":[19,25,58,72],"domain.":[20],"practice,":[22],"coefficients":[26,73],"with":[27,74],"different":[28,33,44],"orders":[29],"may":[30],"have":[31],"significantly":[32,103],"signal-to-noise":[34],"ratios":[35],"due":[36],"to":[37,82,96],"white":[39],"noise":[40],"gain":[41],"differences":[42],"at":[43],"orders,":[45],"which":[46],"can":[47,93],"influence":[48],"performance":[50,81],"of":[51],"dereverberation":[52,67],"especially":[53],"when":[54],"using":[55],"high-order":[56],"coefficients.":[59],"To":[60],"solve":[61],"problem,":[63],"propose":[65],"that":[69,89],"processes":[70],"same":[76],"order":[77],"and":[78,108],"compare":[79],"traditional":[84],"method.":[85],"Simulation":[86],"results":[87],"demonstrate":[88],"proposed":[91],"reduce":[94],"up":[95],"2/3":[97],"computational":[98],"complexity,":[99],"as":[100,102],"well":[101],"improve":[104],"PESQ":[106],"scores":[107],"SRMR":[110],"scores.":[111]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}