{"id":"https://openalex.org/W48895900","doi":"https://doi.org/10.21437/interspeech.2006-563","title":"An assessment of automatic speech recognition as speech intelligibility estimation in the context of additive noise","display_name":"An assessment of automatic speech recognition as speech intelligibility estimation in the context of additive noise","publication_year":2006,"publication_date":"2006-09-17","ids":{"openalex":"https://openalex.org/W48895900","doi":"https://doi.org/10.21437/interspeech.2006-563","mag":"48895900"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2006-563","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2006-563","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2006","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/A5101450498","display_name":"Weiming Liu","orcid":"https://orcid.org/0000-0003-3700-4307"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wei M. Liu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103294590","display_name":"John S. Mason","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John S. D. Mason","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066811192","display_name":"Nicholas Evans","orcid":"https://orcid.org/0000-0002-8459-1041"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nicholas W. D. Evans","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5028248644","display_name":"Keith A. Jellyman","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Keith A. Jellyman","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101450498"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.318,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.50634897,"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":"paper 1191","last_page":"Wed3FoP.10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.9986000061035156,"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"}},{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/intelligibility","display_name":"Intelligibility (philosophy)","score":0.9026213884353638},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6976901292800903},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6918443441390991},{"id":"https://openalex.org/keywords/active-listening","display_name":"Active listening","score":0.6712790727615356},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.6501269936561584},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.44999727606773376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3641014099121094},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18595457077026367},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14722022414207458},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.07342225313186646}],"concepts":[{"id":"https://openalex.org/C60048801","wikidata":"https://www.wikidata.org/wiki/Q1433889","display_name":"Intelligibility (philosophy)","level":2,"score":0.9026213884353638},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6976901292800903},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6918443441390991},{"id":"https://openalex.org/C177291462","wikidata":"https://www.wikidata.org/wiki/Q423038","display_name":"Active listening","level":2,"score":0.6712790727615356},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.6501269936561584},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.44999727606773376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3641014099121094},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18595457077026367},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14722022414207458},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.07342225313186646},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2006-563","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2006-563","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2006","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1546892833","https://openalex.org/W1606614440","https://openalex.org/W1609615575","https://openalex.org/W1789794644","https://openalex.org/W1920160043","https://openalex.org/W2013139519","https://openalex.org/W2038728370","https://openalex.org/W2074658690","https://openalex.org/W2100036917","https://openalex.org/W2100041782","https://openalex.org/W2151484683","https://openalex.org/W2159035631","https://openalex.org/W2162844542","https://openalex.org/W2163181067"],"related_works":["https://openalex.org/W2317723112","https://openalex.org/W2475724061","https://openalex.org/W2773393136","https://openalex.org/W2174706483","https://openalex.org/W2997121352","https://openalex.org/W419536403","https://openalex.org/W2085637247","https://openalex.org/W2127461790","https://openalex.org/W2069324367","https://openalex.org/W2162190637"],"abstract_inverted_index":{"This":[0,54],"paper":[1,55],"investigates":[2],"the":[3,18,63,66,69,78,114,120],"potential":[4],"applicability":[5],"of":[6,20,23,65,71,119,134],"automatic":[7],"speech":[8,24,145],"recognition":[9],"(ASR)":[10],"and":[11,88,108],"6":[12],"well-reported":[13],"objective":[14,147],"quality":[15,148],"measures":[16,67,117],"for":[17],"task":[19],"ranking":[21],"intelligibility":[22,91],"degraded":[25],"by":[26,84],"different":[27,72],"real":[28],"life":[29],"background":[30],"noises.":[31],"In":[32],"a":[33],"recent":[34],"investigation":[35,58],"ASR":[36,86,107,135,150],"has":[37],"been":[38],"reported":[39],"to":[40,100,123,141],"give":[41,124],"high":[42],"subjective":[43],"correlation":[44,126],"with":[45,50,127,136],"human":[46,89,128],"assessment":[47],"when":[48],"tested":[49],"various":[51],"system":[52,87],"degradations.":[53],"extends":[56],"this":[57],"in":[59,68],"two":[60,116],"directions.":[61],"First,":[62],"usefulness":[64],"context":[70],"real-life":[73],"noises":[74],"is":[75,92,132],"considered.":[76],"Second,":[77],"direct":[79],"correspondence":[80],"between":[81],"statistics":[82],"computed":[83],"an":[85],"perceived":[90],"assessed.":[93],"Subjective":[94],"listening":[95],"tests":[96],"are":[97,113],"carried":[98],"out":[99,118],"provide":[101],"ground":[102],"truth.":[103],"Results":[104],"show":[105],"that":[106],"WSS":[109],"(weighted":[110],"spectral":[111],"slope)":[112],"only":[115],"seven":[121],"considered":[122],"good":[125],"opinion.":[129],"Specially":[130],"noted":[131],"performance":[133],"correlations":[137],"ranging":[138],"from":[139],"0.77":[140],"0.90.":[142],"Index":[143],"Terms:":[144],"intelligibility,":[146],"measures,":[149]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}