{"id":"https://openalex.org/W2296360680","doi":"https://doi.org/10.21437/interspeech.2013-416","title":"Using group delay functions from all-pole models for speaker recognition","display_name":"Using group delay functions from all-pole models for speaker recognition","publication_year":2013,"publication_date":"2013-08-25","ids":{"openalex":"https://openalex.org/W2296360680","doi":"https://doi.org/10.21437/interspeech.2013-416","mag":"2296360680"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2013-416","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2013-416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2013","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/A5078300199","display_name":"P.K. Rajan","orcid":"https://orcid.org/0000-0002-9178-3885"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Padmanabhan Rajan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043168931","display_name":"Tomi Kinnunen","orcid":"https://orcid.org/0000-0002-4371-7322"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tomi Kinnunen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076100840","display_name":"Cemal Hanil\u00e7i","orcid":"https://orcid.org/0000-0002-9174-0367"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cemal Hanil\u00e7i","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008322847","display_name":"Jouni Pohjalainen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jouni Pohjalainen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5042186400","display_name":"Paavo Alku","orcid":"https://orcid.org/0000-0002-8173-9418"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Paavo Alku","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.9178,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.96739024,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2489","last_page":"2493"},"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/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/T11309","display_name":"Music and Audio Processing","score":0.995199978351593,"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/group-delay-and-phase-delay","display_name":"Group delay and phase delay","score":0.8047584295272827},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.7834051847457886},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7537248730659485},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6893744468688965},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.5937033891677856},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5714524984359741},{"id":"https://openalex.org/keywords/vocal-tract","display_name":"Vocal tract","score":0.5655255913734436},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5298856496810913},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.4884158968925476},{"id":"https://openalex.org/keywords/transfer-function","display_name":"Transfer function","score":0.4737734794616699},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.4505520462989807},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4225784242153168},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41308334469795227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31744715571403503},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28207242488861084},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.2438347339630127},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1951150894165039},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10618963837623596},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07163330912590027}],"concepts":[{"id":"https://openalex.org/C123792056","wikidata":"https://www.wikidata.org/wiki/Q365988","display_name":"Group delay and phase delay","level":3,"score":0.8047584295272827},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.7834051847457886},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7537248730659485},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6893744468688965},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.5937033891677856},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5714524984359741},{"id":"https://openalex.org/C47401133","wikidata":"https://www.wikidata.org/wiki/Q748953","display_name":"Vocal tract","level":2,"score":0.5655255913734436},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5298856496810913},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.4884158968925476},{"id":"https://openalex.org/C81299745","wikidata":"https://www.wikidata.org/wiki/Q334269","display_name":"Transfer function","level":2,"score":0.4737734794616699},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.4505520462989807},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4225784242153168},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41308334469795227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31744715571403503},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28207242488861084},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2438347339630127},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1951150894165039},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10618963837623596},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07163330912590027},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.21437/interspeech.2013-416","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2013-416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2013","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.310.1119","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.310.1119","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cs.joensuu.fi/pages/tkinnu/webpage/pdf/Groupdelay_IS2013.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.709.9535","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.709.9535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cs.uef.fi/sipu/pub/IS130975.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6499999761581421,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W143947237","https://openalex.org/W1550888325","https://openalex.org/W1766888123","https://openalex.org/W1966264494","https://openalex.org/W1976761624","https://openalex.org/W1998752217","https://openalex.org/W2007115401","https://openalex.org/W2041823554","https://openalex.org/W2043527182","https://openalex.org/W2052043304","https://openalex.org/W2116140209","https://openalex.org/W2117486215","https://openalex.org/W2119125873","https://openalex.org/W2121812409","https://openalex.org/W2140916072","https://openalex.org/W2145212718","https://openalex.org/W2150769028","https://openalex.org/W2156798212","https://openalex.org/W2159018645","https://openalex.org/W2166223208","https://openalex.org/W2170787898","https://openalex.org/W2395750323","https://openalex.org/W2399518911","https://openalex.org/W2406312423","https://openalex.org/W2541822460"],"related_works":["https://openalex.org/W2100012411","https://openalex.org/W1482212662","https://openalex.org/W3162157266","https://openalex.org/W2162084437","https://openalex.org/W1997579527","https://openalex.org/W2102353451","https://openalex.org/W2018086531","https://openalex.org/W1980297060","https://openalex.org/W2387604097","https://openalex.org/W4385672897"],"abstract_inverted_index":{"Popular":[0],"features":[1,118,136],"for":[2],"speech":[3,170],"processing,":[4],"such":[5],"as":[6],"mel-frequency":[7],"cepstral":[8],"coefficients":[9],"(MFCCs),":[10],"are":[11],"derived":[12,81,119,154],"from":[13,82,91,155,165],"the":[14,19,25,31,36,59,62,75,92,100,105,133,148,166],"short-term":[15],"magnitude":[16,32],"spectrum,":[17],"whereas":[18],"phase":[20,60,167],"spectrum":[21,33,168],"remains":[22,70],"un-used.":[23],"While":[24],"common":[26],"argument":[27],"to":[28,48,162],"use":[29,76,149],"only":[30],"is":[34,39,61],"that":[35,115],"human":[37],"ear":[38],"phase-deaf,":[40],"phase-based":[41],"fea-tures":[42],"have":[43],"remained":[44],"less":[45],"explored":[46],"due":[47],"additional":[49],"signal":[50],"pro-cessing":[51],"difficulties":[52],"they":[53],"introduce.":[54],"A":[55],"useful":[56],"representation":[57],"of":[58,77,87,99,150,169],"group":[63,78,116,134,151,176],"delay":[64,79,117,135,152,177],"function,":[65],"but":[66],"its":[67],"robust":[68],"computa-tion":[69],"difficult.":[71],"This":[72],"paper":[73],"advocates":[74],"functions":[80,153],"parametric":[83,121],"all-pole":[84,122,156],"models":[85,123,157],"instead":[86],"their":[88],"direct":[89],"computation":[90],"discrete":[93],"Fourier":[94],"transform.":[95],"Using":[96],"a":[97],"subset":[98],"vocal":[101,130,180],"effort":[102,181],"data":[103],"in":[104],"NIST":[106],"2010":[107],"speaker":[108,174],"recognition":[109],"evaluation":[110],"(SRE)":[111],"corpus,":[112],"we":[113],"show":[114],"via":[120],"improve":[124],"recog-nition":[125],"accuracy,":[126],"especially":[127],"under":[128],"high":[129,179],"effort.":[131],"Addition-ally,":[132],"provide":[137,158],"comparable":[138],"or":[139],"improved":[140],"accuracy":[141],"over":[142],"conventional":[143],"magnitude-based":[144],"MFCC":[145],"features.":[146],"Thus,":[147],"an":[159],"effective":[160],"way":[161],"utilize":[163],"information":[164],"signals.":[171],"Index":[172],"Terms:":[173],"verification,":[175],"functions,":[178]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
