{"id":"https://openalex.org/W3203083806","doi":"https://doi.org/10.1109/icassp43922.2022.9747836","title":"AECMOS: A Speech Quality Assessment Metric for Echo Impairment","display_name":"AECMOS: A Speech Quality Assessment Metric for Echo Impairment","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W3203083806","doi":"https://doi.org/10.1109/icassp43922.2022.9747836","mag":"3203083806"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9747836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747836","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5070854238","display_name":"Marju Purin","orcid":"https://orcid.org/0000-0003-1610-187X"},"institutions":[{"id":"https://openalex.org/I4210105678","display_name":"Microsoft (Finland)","ror":"https://ror.org/01nehjf29","country_code":"FI","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210105678"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Marju Purin","raw_affiliation_strings":["Microsoft Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corporation","institution_ids":["https://openalex.org/I4210105678"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036439306","display_name":"Sten Sootla","orcid":null},"institutions":[{"id":"https://openalex.org/I4210105678","display_name":"Microsoft (Finland)","ror":"https://ror.org/01nehjf29","country_code":"FI","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210105678"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Sten Sootla","raw_affiliation_strings":["Microsoft Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corporation","institution_ids":["https://openalex.org/I4210105678"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075312268","display_name":"Mateja Sponza","orcid":null},"institutions":[{"id":"https://openalex.org/I4210105678","display_name":"Microsoft (Finland)","ror":"https://ror.org/01nehjf29","country_code":"FI","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210105678"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Mateja Sponza","raw_affiliation_strings":["Microsoft Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corporation","institution_ids":["https://openalex.org/I4210105678"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058867828","display_name":"Ando Saabas","orcid":"https://orcid.org/0009-0001-9449-0404"},"institutions":[{"id":"https://openalex.org/I4210105678","display_name":"Microsoft (Finland)","ror":"https://ror.org/01nehjf29","country_code":"FI","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210105678"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Ando Saabas","raw_affiliation_strings":["Microsoft Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corporation","institution_ids":["https://openalex.org/I4210105678"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068040769","display_name":"Ross Cutler","orcid":"https://orcid.org/0000-0002-2004-3003"},"institutions":[{"id":"https://openalex.org/I4210105678","display_name":"Microsoft (Finland)","ror":"https://ror.org/01nehjf29","country_code":"FI","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210105678"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Ross Cutler","raw_affiliation_strings":["Microsoft Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corporation","institution_ids":["https://openalex.org/I4210105678"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210105678"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"901","last_page":"905"},"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":0.9995999932289124,"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/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/echo","display_name":"Echo (communications protocol)","score":0.8102031946182251},{"id":"https://openalex.org/keywords/pesq","display_name":"PESQ","score":0.7961627840995789},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7297592759132385},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6759929060935974},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6141759157180786},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5376428961753845},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46329769492149353},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4347221255302429},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3367030620574951},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3362535834312439},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12962526082992554},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.10751044750213623},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08241069316864014},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07646834850311279}],"concepts":[{"id":"https://openalex.org/C2779426996","wikidata":"https://www.wikidata.org/wiki/Q18389128","display_name":"Echo (communications protocol)","level":2,"score":0.8102031946182251},{"id":"https://openalex.org/C103734657","wikidata":"https://www.wikidata.org/wiki/Q2739975","display_name":"PESQ","level":4,"score":0.7961627840995789},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7297592759132385},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6759929060935974},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6141759157180786},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5376428961753845},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46329769492149353},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4347221255302429},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3367030620574951},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3362535834312439},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12962526082992554},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.10751044750213623},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08241069316864014},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07646834850311279},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp43922.2022.9747836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747836","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":31,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1559029157","https://openalex.org/W2160815625","https://openalex.org/W2161608096","https://openalex.org/W2888860279","https://openalex.org/W2922332774","https://openalex.org/W2962832181","https://openalex.org/W2964121744","https://openalex.org/W2972461400","https://openalex.org/W3015389285","https://openalex.org/W3015915930","https://openalex.org/W3028107539","https://openalex.org/W3130426944","https://openalex.org/W3149292130","https://openalex.org/W3159799903","https://openalex.org/W3160394811","https://openalex.org/W3161480375","https://openalex.org/W3162348042","https://openalex.org/W3162616235","https://openalex.org/W3163113319","https://openalex.org/W3176511914","https://openalex.org/W3195156220","https://openalex.org/W3196995871","https://openalex.org/W3197034572","https://openalex.org/W3198008448","https://openalex.org/W3198845391","https://openalex.org/W4255251373","https://openalex.org/W6631190155","https://openalex.org/W6778072768","https://openalex.org/W6784124820","https://openalex.org/W6790172557"],"related_works":["https://openalex.org/W3118578380","https://openalex.org/W4294326507","https://openalex.org/W2144085034","https://openalex.org/W2166153901","https://openalex.org/W4309426801","https://openalex.org/W2100095452","https://openalex.org/W353459356","https://openalex.org/W182167794","https://openalex.org/W2151415191","https://openalex.org/W2078997890"],"abstract_inverted_index":{"Traditionally,":[0],"the":[1,32,43,72],"quality":[2,12,61,89,115],"of":[3,74],"acoustic":[4,75],"echo":[5,64,76,95,126],"cancellers":[6],"is":[7,106,130],"evaluated":[8],"using":[9],"intrusive":[10],"speech":[11,60],"assessment":[13,62],"measures":[14],"such":[15],"as":[16,108,135],"ERLE":[17],"[1]":[18],"and":[19,47,96],"PESQ":[20],"[2],":[21],"or":[22],"by":[23,110],"carrying":[24],"out":[25,52],"subjective":[26,40,114],"laboratory":[27],"tests":[28],"[3],":[29],"[4].":[30],"Unfortunately,":[31],"former":[33],"are":[34,45],"not":[35],"well":[36],"correlated":[37],"with":[38,112],"human":[39,113],"measures,":[41],"while":[42],"latter":[44],"time":[46],"resource":[48],"consuming":[49],"to":[50,70,86,123],"carry":[51],"[5].":[53],"We":[54,101],"provide":[55],"a":[56,82],"new":[57],"tool":[58,118],"for":[59,63],"impairment":[65],"which":[66],"can":[67,119],"be":[68,120],"used":[69,121],"evaluate":[71,87],"performance":[73],"cancellers.":[77],"More":[78],"precisely,":[79],"we":[80],"develop":[81],"neural":[83],"network":[84],"model":[85,105],"call":[88],"degradations":[90,97],"in":[91],"two":[92],"separate":[93],"categories:":[94],"from":[98],"other":[99],"sources.":[100],"show":[102],"that":[103],"our":[104],"accurate":[107],"measured":[109],"correlation":[111],"ratings.":[116],"Our":[117],"effectively":[122],"stack":[124],"rank":[125],"cancellation":[127],"models.":[128],"AECMOS":[129],"being":[131],"made":[132],"publicly":[133],"available":[134],"an":[136],"Azure":[137],"service.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":7}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}