{"id":"https://openalex.org/W2921241853","doi":"https://doi.org/10.23919/apsipa.2018.8659759","title":"Maximum a posteriori estimation of spectral gain with harmonic-structure-based phase reconstruction for phase-aware speech enhancement","display_name":"Maximum a posteriori estimation of spectral gain with harmonic-structure-based phase reconstruction for phase-aware speech enhancement","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2921241853","doi":"https://doi.org/10.23919/apsipa.2018.8659759","mag":"2921241853"},"language":"en","primary_location":{"id":"doi:10.23919/apsipa.2018.8659759","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5103010851","display_name":"Yukoh Wakabayashi","orcid":"https://orcid.org/0000-0001-8846-3699"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yukoh Wakabayashi","raw_affiliation_strings":["Tokyo Metropolitan University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056281759","display_name":"Nobutaka Ono","orcid":"https://orcid.org/0000-0003-4242-2773"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobutaka Ono","raw_affiliation_strings":["Tokyo Metropolitan University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103010851"],"corresponding_institution_ids":["https://openalex.org/I69740276"],"apc_list":null,"apc_paid":null,"fwci":0.3303,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59762647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1649","last_page":"1652"},"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":0.9977999925613403,"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/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.8072798252105713},{"id":"https://openalex.org/keywords/intelligibility","display_name":"Intelligibility (philosophy)","score":0.7302274703979492},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6300346851348877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6133023500442505},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.5842929482460022},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.5106223225593567},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4947461783885956},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.4709283709526062},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4253138303756714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3008749485015869},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27503061294555664},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17237773537635803},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.12347644567489624},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1211715042591095},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10325789451599121}],"concepts":[{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.8072798252105713},{"id":"https://openalex.org/C60048801","wikidata":"https://www.wikidata.org/wiki/Q1433889","display_name":"Intelligibility (philosophy)","level":2,"score":0.7302274703979492},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6300346851348877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6133023500442505},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.5842929482460022},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.5106223225593567},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4947461783885956},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.4709283709526062},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4253138303756714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3008749485015869},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27503061294555664},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17237773537635803},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.12347644567489624},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1211715042591095},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10325789451599121},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/apsipa.2018.8659759","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W58138822","https://openalex.org/W1495679096","https://openalex.org/W1990449877","https://openalex.org/W1991506229","https://openalex.org/W2000423824","https://openalex.org/W2024351659","https://openalex.org/W2041498927","https://openalex.org/W2046736932","https://openalex.org/W2070126272","https://openalex.org/W2084620644","https://openalex.org/W2091743772","https://openalex.org/W2093214668","https://openalex.org/W2120847449","https://openalex.org/W2121973264","https://openalex.org/W2128653836","https://openalex.org/W2130476329","https://openalex.org/W2291877678","https://openalex.org/W2401387233","https://openalex.org/W2515728195","https://openalex.org/W2539406037","https://openalex.org/W2557164509","https://openalex.org/W2596331462","https://openalex.org/W2718615637","https://openalex.org/W2800537612","https://openalex.org/W3147539069","https://openalex.org/W4245919820","https://openalex.org/W6602370547"],"related_works":["https://openalex.org/W1503532423","https://openalex.org/W1986772939","https://openalex.org/W2150865841","https://openalex.org/W2037635165","https://openalex.org/W1967494390","https://openalex.org/W2738829087","https://openalex.org/W2231565466","https://openalex.org/W3043214604","https://openalex.org/W1505346162","https://openalex.org/W3013496002"],"abstract_inverted_index":{"Contrary":[0],"to":[1],"a":[2,26,40,50,52,61],"long-held":[3],"belief,":[4],"recent":[5],"work":[6],"shows":[7],"that":[8,31,77],"phase":[9,36,47,62],"spectrum":[10],"modification":[11],"plays":[12],"an":[13],"important":[14],"role":[15],"in":[16],"speech":[17,28,72,85],"quality":[18],"and":[19,39],"intelligibility.":[20],"In":[21],"this":[22],"paper,":[23],"we":[24],"propose":[25],"phase-aware":[27],"enhancement":[29],"method":[30,38,44,80],"consists":[32],"of":[33,68],"our":[34],"previous":[35],"reconstruction":[37],"spectral":[41,56],"gain":[42,57],"estimation":[43,58,66],"using":[45],"the":[46,65,69,78],"estimate":[48,63],"with":[49],"maximum":[51],"posteriori":[53],"criterion.":[54],"The":[55],"based":[59],"on":[60],"improves":[64,81],"accuracy":[67],"target":[70],"clean":[71],"signal.":[73],"Experimental":[74],"results":[75],"demonstrate":[76],"proposed":[79],"objective":[82],"measures":[83],"for":[84],"perceived":[86],"quality.":[87]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}