{"id":"https://openalex.org/W1922773191","doi":"https://doi.org/10.1109/icassp.1988.196650","title":"Frequency-warped spectral distance measures for speaker verification in noise","display_name":"Frequency-warped spectral distance measures for speaker verification in noise","publication_year":2003,"publication_date":"2003-01-06","ids":{"openalex":"https://openalex.org/W1922773191","doi":"https://doi.org/10.1109/icassp.1988.196650","mag":"1922773191"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1988.196650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1988.196650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","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/A5024680902","display_name":"Hideki Noda","orcid":null},"institutions":[{"id":"https://openalex.org/I76259142","display_name":"National Research Institute of Police Science","ror":"https://ror.org/03g9ek587","country_code":"JP","type":"government","lineage":["https://openalex.org/I76259142"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"H. Noda","raw_affiliation_strings":["National Research Council Resident Associate, Chiyoda, Tokyo, Japan","National Research Inst. of Police Science, Tokyo (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research Council Resident Associate, Chiyoda, Tokyo, Japan","institution_ids":[]},{"raw_affiliation_string":"National Research Inst. of Police Science, Tokyo (Japan)","institution_ids":["https://openalex.org/I76259142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5024680902"],"corresponding_institution_ids":["https://openalex.org/I76259142"],"apc_list":null,"apc_paid":null,"fwci":0.9519,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.72133708,"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":"576","last_page":"579"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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":0.9998000264167786,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9994000196456909,"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":0.993399977684021,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6357331871986389},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5819059610366821},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5105198621749878},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5073656439781189},{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.4825681746006012},{"id":"https://openalex.org/keywords/formant","display_name":"Formant","score":0.47751370072364807},{"id":"https://openalex.org/keywords/linear-predictive-coding","display_name":"Linear predictive coding","score":0.47048166394233704},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4698107838630676},{"id":"https://openalex.org/keywords/distance-measures","display_name":"Distance measures","score":0.44536155462265015},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.4185590445995331},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3935122489929199},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.3488474488258362},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3302766680717468},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29299283027648926},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.23287922143936157},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22637951374053955},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.2155291736125946},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13685119152069092}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6357331871986389},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5819059610366821},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5105198621749878},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5073656439781189},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.4825681746006012},{"id":"https://openalex.org/C158215666","wikidata":"https://www.wikidata.org/wiki/Q1414685","display_name":"Formant","level":3,"score":0.47751370072364807},{"id":"https://openalex.org/C59883199","wikidata":"https://www.wikidata.org/wiki/Q1826438","display_name":"Linear predictive coding","level":3,"score":0.47048166394233704},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4698107838630676},{"id":"https://openalex.org/C2639959","wikidata":"https://www.wikidata.org/wiki/Q1344778","display_name":"Distance measures","level":2,"score":0.44536155462265015},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.4185590445995331},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3935122489929199},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3488474488258362},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3302766680717468},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29299283027648926},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.23287922143936157},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22637951374053955},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.2155291736125946},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13685119152069092},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2779581591","wikidata":"https://www.wikidata.org/wiki/Q36244","display_name":"Vowel","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1988.196650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1988.196650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","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":5,"referenced_works":["https://openalex.org/W1905843645","https://openalex.org/W2026933252","https://openalex.org/W2038860710","https://openalex.org/W2176206481","https://openalex.org/W2585529150"],"related_works":["https://openalex.org/W2046217390","https://openalex.org/W4365503437","https://openalex.org/W2362995206","https://openalex.org/W2004825552","https://openalex.org/W37481168","https://openalex.org/W1986672430","https://openalex.org/W1990629684","https://openalex.org/W1971436356","https://openalex.org/W1975851543","https://openalex.org/W2049648127"],"abstract_inverted_index":{"Spectral":[0],"distance":[1,72,95,106,120],"measures":[2,73,96,107,121],"on":[3,60,108,126],"a":[4,23,61,81],"warped":[5,62],"frequency":[6,63,111],"scale":[7,64,112],"are":[8,38,43,50,54,97,122],"investigated":[9],"to":[10,21,68,99],"improve":[11],"noise":[12,42],"robustness":[13],"in":[14,74,113,116],"speaker":[15,114,130],"recognition.":[16],"Frequency":[17],"warping":[18],"is":[19,87],"applied":[20],"obtain":[22,69],"less":[24,39],"noise-affected":[25],"spectrum;":[26],"higher":[27],"energy":[28,47],"parts,":[29,48],"of":[30],"the":[31,90,109],"spectrum":[32,86],"like":[33],"those":[34],"around":[35],"formants,":[36],"which":[37,49,75],"affected":[40],"by":[41,52],"expanded,":[44],"and":[45],"lower":[46],"corrupted":[51],"noise,":[53],"shortened.":[55],"Linear":[56],"predictive":[57],"coding":[58],"analysis":[59],"can":[65],"be":[66],"utilized":[67],"frequency-warped":[70,82],"spectral":[71,94],"an":[76],"autocorrelation":[77],"function":[78],"derived":[79],"from":[80],"fast":[83],"Fourier":[84],"transform":[85],"used":[88],"for":[89,129],"all-poles":[91],"modeling.":[92],"Such":[93],"shown":[98],"provide":[100],"significant":[101],"performance":[102],"improvement":[103],"over":[104],"conventional":[105],"linear":[110],"verification":[115],"noise.":[117],"Weighted":[118],"cepstral":[119],"also":[123],"discussed,":[124],"focusing":[125],"their":[127],"effectiveness":[128],"verification.>":[131]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}