{"id":"https://openalex.org/W2033207010","doi":"https://doi.org/10.1109/slt.2014.7078553","title":"Domain invariant speech features using a new divergence measure","display_name":"Domain invariant speech features using a new divergence measure","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2033207010","doi":"https://doi.org/10.1109/slt.2014.7078553","mag":"2033207010"},"language":"en","primary_location":{"id":"doi:10.1109/slt.2014.7078553","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt.2014.7078553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Spoken Language Technology Workshop (SLT)","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/A5072160392","display_name":"Alan Wisler","orcid":"https://orcid.org/0000-0003-2601-2846"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alan Wisler","raw_affiliation_strings":["Department of Speech and Hearing, SenSIP Center, Tempe, AZ","Arizona State University, Department of Speech and Hearing, Department of ECEE, SenSIP Center, Tempe, 85287, USA"],"affiliations":[{"raw_affiliation_string":"Department of Speech and Hearing, SenSIP Center, Tempe, AZ","institution_ids":[]},{"raw_affiliation_string":"Arizona State University, Department of Speech and Hearing, Department of ECEE, SenSIP Center, Tempe, 85287, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021646973","display_name":"Visar Berisha","orcid":"https://orcid.org/0000-0001-8804-8874"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Visar Berisha","raw_affiliation_strings":["Department of Speech and Hearing, SenSIP Center, Tempe, AZ","Arizona State University, Department of Speech and Hearing, Department of ECEE, SenSIP Center, Tempe, 85287, USA"],"affiliations":[{"raw_affiliation_string":"Department of Speech and Hearing, SenSIP Center, Tempe, AZ","institution_ids":[]},{"raw_affiliation_string":"Arizona State University, Department of Speech and Hearing, Department of ECEE, SenSIP Center, Tempe, 85287, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056934840","display_name":"Julie Liss","orcid":"https://orcid.org/0000-0001-8782-2901"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Julie Liss","raw_affiliation_strings":["Department of Speech and Hearing, SenSIP Center, Tempe, AZ","Arizona State University, Department of Speech and Hearing, Department of ECEE, SenSIP Center, Tempe, 85287, USA"],"affiliations":[{"raw_affiliation_string":"Department of Speech and Hearing, SenSIP Center, Tempe, AZ","institution_ids":[]},{"raw_affiliation_string":"Arizona State University, Department of Speech and Hearing, Department of ECEE, SenSIP Center, Tempe, 85287, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074371899","display_name":"Andreas Spanias","orcid":"https://orcid.org/0000-0003-0306-9348"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andreas Spanias","raw_affiliation_strings":["Department of Speech and Hearing, SenSIP Center, Tempe, AZ","Arizona State University, Department of Speech and Hearing, Department of ECEE, SenSIP Center, Tempe, 85287, USA"],"affiliations":[{"raw_affiliation_string":"Department of Speech and Hearing, SenSIP Center, Tempe, AZ","institution_ids":[]},{"raw_affiliation_string":"Arizona State University, Department of Speech and Hearing, Department of ECEE, SenSIP Center, Tempe, 85287, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072160392"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":3.2721,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.92817494,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"27","issue":null,"first_page":"77","last_page":"82"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11309","display_name":"Music and Audio Processing","score":0.9983000159263611,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.7885031700134277},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6612682342529297},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.6074573993682861},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5867226719856262},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5690099596977234},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.4954754114151001},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.49087339639663696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4829972982406616},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.4808695912361145},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.46908798813819885},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.45000484585762024},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.4240490794181824},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4105755686759949},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3815760016441345},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3568134009838104},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.26691246032714844},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24341878294944763}],"concepts":[{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.7885031700134277},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6612682342529297},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.6074573993682861},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5867226719856262},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5690099596977234},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4954754114151001},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.49087339639663696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4829972982406616},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.4808695912361145},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.46908798813819885},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.45000484585762024},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.4240490794181824},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4105755686759949},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3815760016441345},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3568134009838104},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26691246032714844},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24341878294944763},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/slt.2014.7078553","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt.2014.7078553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Spoken Language Technology Workshop (SLT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W655565512","https://openalex.org/W1595917421","https://openalex.org/W1608944489","https://openalex.org/W1617650991","https://openalex.org/W1965864703","https://openalex.org/W2027390033","https://openalex.org/W2032235985","https://openalex.org/W2045650933","https://openalex.org/W2056500762","https://openalex.org/W2068276287","https://openalex.org/W2081318766","https://openalex.org/W2104094955","https://openalex.org/W2104559592","https://openalex.org/W2105854852","https://openalex.org/W2107369107","https://openalex.org/W2110091014","https://openalex.org/W2111157186","https://openalex.org/W2117419877","https://openalex.org/W2120587290","https://openalex.org/W2120708938","https://openalex.org/W2128575093","https://openalex.org/W2131953535","https://openalex.org/W2146871184","https://openalex.org/W2154278880","https://openalex.org/W2156557681","https://openalex.org/W2168972885","https://openalex.org/W4210694145","https://openalex.org/W6621793483","https://openalex.org/W6636267554","https://openalex.org/W6636587001","https://openalex.org/W6676587327","https://openalex.org/W6678065886","https://openalex.org/W6682827559","https://openalex.org/W6894217500"],"related_works":["https://openalex.org/W1999699871","https://openalex.org/W2145230572","https://openalex.org/W4225124612","https://openalex.org/W2043806667","https://openalex.org/W2146197305","https://openalex.org/W2021633306","https://openalex.org/W2006801911","https://openalex.org/W2166312020","https://openalex.org/W2033669961","https://openalex.org/W3019226033"],"abstract_inverted_index":{"Existing":[0],"speech":[1,94,122],"classification":[2,123],"algorithms":[3],"often":[4],"perform":[5],"well":[6,98],"when":[7],"evaluated":[8],"on":[9,55,62,66,117],"training":[10,68,74,107],"and":[11,49,70,75],"test":[12,57,76],"data":[13,69,100],"drawn":[14],"from":[15],"the":[16,27,32,56,63,67,71,106,112,115],"same":[17],"distribution.":[18],"In":[19,29,40],"practice,":[20],"however,":[21],"these":[22,30],"distributions":[23],"are":[24],"not":[25],"always":[26],"same.":[28],"circumstances,":[31],"performance":[33],"of":[34,114,120],"trained":[35],"models":[36],"will":[37],"likely":[38],"decrease.":[39],"this":[41,79],"paper,":[42],"we":[43,83],"discuss":[44],"an":[45,51],"underutilized":[46],"divergence":[47],"measure":[48],"derive":[50],"estimable":[52],"upper":[53],"bound":[54,80],"error":[58,64],"rate":[59,65],"that":[60,89,96],"depends":[61],"distance":[72],"between":[73],"distributions.":[77],"Using":[78],"as":[81],"motivation,":[82],"develop":[84],"a":[85,118],"feature":[86],"learning":[87],"algorithm":[88,116],"aims":[90],"to":[91,99],"identify":[92],"invariant":[93],"features":[95],"generalize":[97],"similar":[101],"to,":[102],"but":[103],"different":[104],"from,":[105],"set.":[108],"Comparative":[109],"results":[110],"confirm":[111],"efficacy":[113],"set":[119],"cross-domain":[121],"tasks.":[124]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
