{"id":"https://openalex.org/W2102195139","doi":"https://doi.org/10.1155/s1110865704406210","title":"Subband-Based Group Delay Segmentation of Spontaneous Speech into Syllable-Like Units","display_name":"Subband-Based Group Delay Segmentation of Spontaneous Speech into Syllable-Like Units","publication_year":2004,"publication_date":"2004-12-27","ids":{"openalex":"https://openalex.org/W2102195139","doi":"https://doi.org/10.1155/s1110865704406210","mag":"2102195139"},"language":"en","primary_location":{"id":"doi:10.1155/s1110865704406210","is_oa":true,"landing_page_url":"https://doi.org/10.1155/s1110865704406210","pdf_url":null,"source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1155/s1110865704406210","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080103016","display_name":"T. Nagarajan","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"T. Nagarajan","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, 600036, India","Dept of Computer Science and Engg, Indian Institute of Technology Madras, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, 600036, India","institution_ids":["https://openalex.org/I24676775"]},{"raw_affiliation_string":"Dept of Computer Science and Engg, Indian Institute of Technology Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032418366","display_name":"Hema A. Murthy","orcid":"https://orcid.org/0000-0003-3611-6550"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"H.A. Murthy","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, 600036, India","Dept of Computer Science and Engg, Indian Institute of Technology Madras, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, 600036, India","institution_ids":["https://openalex.org/I24676775"]},{"raw_affiliation_string":"Dept of Computer Science and Engg, Indian Institute of Technology Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5080103016"],"corresponding_institution_ids":["https://openalex.org/I24676775"],"apc_list":{"value":1665,"currency":"USD","value_usd":1665},"apc_paid":{"value":1665,"currency":"USD","value_usd":1665},"fwci":1.6275,"has_fulltext":true,"cited_by_count":31,"citation_normalized_percentile":{"value":0.88209434,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2004","issue":"17","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998000264167786,"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":0.9998000264167786,"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/T10403","display_name":"Phonetics and Phonology Research","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/syllable","display_name":"Syllable","score":0.7246382236480713},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.702937662601471},{"id":"https://openalex.org/keywords/group-delay-and-phase-delay","display_name":"Group delay and phase delay","score":0.7014962434768677},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.6108294129371643},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.574525773525238},{"id":"https://openalex.org/keywords/vocal-tract","display_name":"Vocal tract","score":0.5213440656661987},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5145649313926697},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.49240195751190186},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.4826565384864807},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.45303308963775635},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4414181113243103},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4266570210456848},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39382731914520264},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38133904337882996},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3450356721878052},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25920403003692627},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.12768808007240295},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.08811450004577637},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.06861352920532227}],"concepts":[{"id":"https://openalex.org/C109089402","wikidata":"https://www.wikidata.org/wiki/Q8188","display_name":"Syllable","level":2,"score":0.7246382236480713},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.702937662601471},{"id":"https://openalex.org/C123792056","wikidata":"https://www.wikidata.org/wiki/Q365988","display_name":"Group delay and phase delay","level":3,"score":0.7014962434768677},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.6108294129371643},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.574525773525238},{"id":"https://openalex.org/C47401133","wikidata":"https://www.wikidata.org/wiki/Q748953","display_name":"Vocal tract","level":2,"score":0.5213440656661987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5145649313926697},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.49240195751190186},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.4826565384864807},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.45303308963775635},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4414181113243103},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4266570210456848},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39382731914520264},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38133904337882996},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3450356721878052},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25920403003692627},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.12768808007240295},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.08811450004577637},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.06861352920532227},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/s1110865704406210","is_oa":true,"landing_page_url":"https://doi.org/10.1155/s1110865704406210","pdf_url":null,"source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4dc0e1778d324032aa432e00cecc564d","is_oa":true,"landing_page_url":"https://doaj.org/article/4dc0e1778d324032aa432e00cecc564d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2004, Iss 17, p 410910 (2004)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/s1110865704406210","is_oa":true,"landing_page_url":"https://doi.org/10.1155/s1110865704406210","pdf_url":null,"source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W185189022","https://openalex.org/W196692374","https://openalex.org/W1523934345","https://openalex.org/W1598371594","https://openalex.org/W1766888123","https://openalex.org/W1959097584","https://openalex.org/W1965635292","https://openalex.org/W2015876361","https://openalex.org/W2084044763","https://openalex.org/W2097426397","https://openalex.org/W2104981903","https://openalex.org/W2115459718","https://openalex.org/W2121464381","https://openalex.org/W2149016536","https://openalex.org/W2158286329","https://openalex.org/W2163632146","https://openalex.org/W2166637769","https://openalex.org/W2179839788","https://openalex.org/W2798506522","https://openalex.org/W4301409722","https://openalex.org/W6607538539","https://openalex.org/W6671542330","https://openalex.org/W6675755872","https://openalex.org/W6684026121"],"related_works":["https://openalex.org/W2100012411","https://openalex.org/W1482212662","https://openalex.org/W1997579527","https://openalex.org/W2114779288","https://openalex.org/W2075075842","https://openalex.org/W1647241063","https://openalex.org/W4232615926","https://openalex.org/W2394579548","https://openalex.org/W2165083446","https://openalex.org/W2032268913"],"abstract_inverted_index":{"In":[0,168],"the":[1,13,24,65,69,74,78,82,86,99,129,137,143,147,153,160,182,225,233,246,259,266,280],"development":[2],"of":[3,12,68,77,85,106,128,146,162,194,206,248,279],"a":[4,50,103,110,125,192,239],"syllable-centric":[5],"automatic":[6],"speech":[7,58,87,148,186],"recognition":[8],"(ASR)":[9],"system,":[10],"segmentation":[11,183,269],"acoustic":[14],"signal":[15,88,149,187],"into":[16,59],"syllabic":[17],"units":[18],"is":[19,115,121,188,242,270],"an":[20,107],"important":[21],"stage.":[22],"Although":[23,136],"short-term":[25],"energy":[26],"(STE)":[27],"function":[28,84,101,114,120,131,140,145],"contains":[29,150],"useful":[30],"information":[31],"about":[32],"syllable":[33,94,133,234,281],"segment":[34,42,56,151,251],"boundaries,":[35,152],"it":[36,91],"has":[37],"to":[38,55,80,123,157,180,198,244],"be":[39,45,124],"processed":[40],"before":[41],"boundaries":[43,154,235,252],"can":[44],"extracted.":[46],"This":[47,62,117],"paper":[48],"presents":[49],"subband-based":[51],"group":[52,112,118,138,218,230],"delay":[53,113,119,139,219,231],"approach":[54],"spontaneous":[57],"syllable-like":[60],"units.":[61],"technique":[63,241],"exploits":[64],"additive":[66],"property":[67,76],"Fourier":[70],"transform":[71],"phase":[72],"and":[73,89,166,176,261,277],"deconvolution":[75],"cepstrum":[79],"smooth":[81],"STE":[83,100,130,144,204,214],"make":[90],"suitable":[92],"for":[93,132,275],"boundary":[95,134],"detection.":[96,135],"By":[97,223],"treating":[98],"as":[102],"magnitude":[104],"spectrum":[105],"arbitrary":[108],"signal,":[109],"minimum-phase":[111,217],"derived.":[116,222],"found":[122],"better":[126],"representative":[127],"derived":[141,227],"from":[142,228],"are":[155,173,178,209,221,236],"difficult":[156],"determine":[158],"in":[159,250,268],"context":[161],"long":[163],"silences,":[164],"semivowels,":[165],"fricatives.":[167],"this":[169],"paper,":[170],"these":[171,207,212,229],"issues":[172],"specifically":[174],"addressed":[175],"algorithms":[177],"developed":[179],"improve":[181],"performance.":[184],"The":[185,203],"first":[189],"passed":[190],"through":[191],"bank":[193],"three":[195,199,213,216],"filters,":[196],"corresponding":[197],"different":[200],"spectral":[201],"bands.":[202],"functions":[205,220],"signals":[208],"computed.":[210],"Using":[211],"functions,":[215,232],"combining":[224],"evidence":[226],"detected.":[237],"Further,":[238],"multiresolution-based":[240],"presented":[243],"overcome":[245],"problem":[247],"shift":[249],"during":[253],"smoothing.":[254],"Experiments":[255],"carried":[256],"out":[257],"on":[258],"Switchboard":[260],"OGI-MLTS":[262],"corpora":[263],"show":[264],"that":[265],"error":[267],"at":[271],"most":[272],"25":[273],"milliseconds":[274],"67%":[276],"76.6%":[278],"segments,":[282],"respectively.":[283]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
