{"id":"https://openalex.org/W1515778397","doi":"https://doi.org/10.21437/icslp.2000-401","title":"Synergy of spectral and perceptual features in multi-source connectionist speech recognition","display_name":"Synergy of spectral and perceptual features in multi-source connectionist speech recognition","publication_year":2000,"publication_date":"2000-10-16","ids":{"openalex":"https://openalex.org/W1515778397","doi":"https://doi.org/10.21437/icslp.2000-401","mag":"1515778397"},"language":"en","primary_location":{"id":"doi:10.21437/icslp.2000-401","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.2000-401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th International Conference on Spoken Language Processing (ICSLP 2000)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://porto.polito.it/1413110/1/00437.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056510268","display_name":"Roberto Gemello","orcid":null},"institutions":[{"id":"https://openalex.org/I1298633626","display_name":"Telecom Italia Lab","ror":"https://ror.org/01rt74q71","country_code":"IT","type":"facility","lineage":["https://openalex.org/I1298633626","https://openalex.org/I137543953"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Roberto Gemello","raw_affiliation_strings":["CSELT -Centro Studi e Laboratori Telecomunicazioni Via G. Reiss Romoli, 274 -10148 Torino -Italy"],"affiliations":[{"raw_affiliation_string":"CSELT -Centro Studi e Laboratori Telecomunicazioni Via G. Reiss Romoli, 274 -10148 Torino -Italy","institution_ids":["https://openalex.org/I1298633626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050466312","display_name":"L. Moisa","orcid":null},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Loreta Moisa","raw_affiliation_strings":["Politecnico di Torino -Dipartimento di Automatica e Informatica C.so Duca degli Abruzzi, 24 -10129 Torino -Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino -Dipartimento di Automatica e Informatica C.so Duca degli Abruzzi, 24 -10129 Torino -Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023812879","display_name":"Pietro Laface","orcid":"https://orcid.org/0000-0003-2841-7695"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Pietro Laface","raw_affiliation_strings":["Politecnico di Torino -Dipartimento di Automatica e Informatica C.so Duca degli Abruzzi, 24 -10129 Torino -Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino -Dipartimento di Automatica e Informatica C.so Duca degli Abruzzi, 24 -10129 Torino -Italy","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056510268"],"corresponding_institution_ids":["https://openalex.org/I1298633626"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06963782,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"vol. 2, 843","last_page":"846"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9991000294685364,"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":0.996999979019165,"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/connectionism","display_name":"Connectionism","score":0.8445544242858887},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.724530816078186},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6745690703392029},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.562188446521759},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4896562695503235},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4214920699596405},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.26190903782844543},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15771490335464478},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.05442240834236145}],"concepts":[{"id":"https://openalex.org/C8521452","wikidata":"https://www.wikidata.org/wiki/Q203790","display_name":"Connectionism","level":3,"score":0.8445544242858887},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.724530816078186},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6745690703392029},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.562188446521759},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4896562695503235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4214920699596405},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.26190903782844543},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15771490335464478},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.05442240834236145}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/icslp.2000-401","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.2000-401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th International Conference on Spoken Language Processing (ICSLP 2000)","raw_type":"proceedings-article"},{"id":"pmh:oai:porto.polito.it:1413110","is_oa":true,"landing_page_url":"http://porto.polito.it/1413110/","pdf_url":"http://porto.polito.it/1413110/1/00437.pdf","source":{"id":"https://openalex.org/S4306402038","display_name":"PORTO Publications Open Repository TOrino (Politecnico di Torino)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177477856","host_organization_name":"Politecnico di Torino","host_organization_lineage":["https://openalex.org/I177477856"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:porto.polito.it:1413110","is_oa":true,"landing_page_url":"http://porto.polito.it/1413110/","pdf_url":"http://porto.polito.it/1413110/1/00437.pdf","source":{"id":"https://openalex.org/S4306402038","display_name":"PORTO Publications Open Repository TOrino (Politecnico di Torino)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177477856","host_organization_name":"Politecnico di Torino","host_organization_lineage":["https://openalex.org/I177477856"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1515778397.pdf","grobid_xml":"https://content.openalex.org/works/W1515778397.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W71891565","https://openalex.org/W185946295","https://openalex.org/W1529446044","https://openalex.org/W2046802058","https://openalex.org/W2134316760","https://openalex.org/W2134907893","https://openalex.org/W2137075158","https://openalex.org/W2137692244","https://openalex.org/W4245923654"],"related_works":["https://openalex.org/W4205841273","https://openalex.org/W4205525690","https://openalex.org/W1761388607","https://openalex.org/W1997922073","https://openalex.org/W350032239","https://openalex.org/W2604685715","https://openalex.org/W2412160900","https://openalex.org/W2136453575","https://openalex.org/W1596913645","https://openalex.org/W3204019825"],"abstract_inverted_index":{"The":[0],"combined":[1],"use":[2,39],"of":[3,6,51,66,77,80,88,94,120,126,136,146,150],"different":[4,14],"set":[5,93,119],"features":[7,44,96,121],"extracted":[8],"from":[9,110],"the":[10,63,67,85,111,124,127,132,137,144,147],"speech":[11,23,165,172],"signal":[12],"with":[13],"processing":[15],"algorithms":[16],"is":[17],"a":[18,47,59,118,156,169],"promising":[19],"approach":[20,149],"to":[21,31,38,45,83,155],"improve":[22,84],"recognition":[24,86,166],"performances.Artificial":[25],"Neural":[26,81],"Networks":[27,82],"are":[28,36],"well":[29],"suited":[30],"this":[32,103],"task":[33],"since":[34],"they":[35],"able":[37],"directly":[40],"multiple":[41],"heterogeneous":[42],"input":[43,68,95],"estimate":[46],"near":[48],"optimal":[49],"combination":[50],"them":[52],"for":[53],"classification,":[54],"without":[55],"being":[56],"constrained":[57],"by":[58],"priori":[60],"assumptions":[61],"on":[62,161,168],"stochastic":[64],"independence":[65],"sources.This":[69],"work":[70],"shows":[71],"how":[72],"we":[73],"have":[74,97],"taken":[75],"advantage":[76],"these":[78],"characteristics":[79],"accuracy":[87],"our":[89],"systems.In":[90],"particular,":[91],"three":[92],"been":[98],"considered":[99],"as":[100],"sources":[101],"in":[102],"work:":[104],"Mel":[105],"based":[106],"Cepstral":[107,115],"Coefficients":[108],"derived":[109],"FFT":[112,128],"spectrum,":[113],"RASTA-PLP":[114],"Coefficients,":[116],"and":[117,163],"that":[122,153],"describe":[123],"dynamics":[125],"power":[129],"spectrum":[130],"along":[131],"frequency":[133],"dimension,":[134],"instead":[135],"usual":[138],"time":[139],"dimension.The":[140],"experimental":[141],"results":[142],"confirm":[143],"usefulness":[145],"proposed":[148],"feature":[151],"integration":[152],"leads":[154],"significant":[157],"error":[158],"reduction":[159],"both":[160],"isolated":[162],"continuous":[164],"tasks":[167],"large":[170],"telephone":[171],"test":[173],"set.":[174]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
