{"id":"https://openalex.org/W1489931518","doi":"https://doi.org/10.1109/icassp.1986.1168530","title":"Steady part recognition of continuous speech for acoustic-phonetic decoding","display_name":"Steady part recognition of continuous speech for acoustic-phonetic decoding","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W1489931518","doi":"https://doi.org/10.1109/icassp.1986.1168530","mag":"1489931518"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1986.1168530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1986.1168530","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '86. IEEE 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/A5080211769","display_name":"D. Vicard","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. Vicard","raw_affiliation_strings":["Telic Alcatel, Strasbourg, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telic Alcatel, Strasbourg, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015766514","display_name":"Laurent Miclet","orcid":null},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"L. Miclet","raw_affiliation_strings":["Ecole Nationale Superieure des Telecommunications, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ecole Nationale Superieure des Telecommunications, Paris, France","institution_ids":["https://openalex.org/I12356871"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"2263","last_page":"2266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9993000030517578,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7237381339073181},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6938944458961487},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.605344831943512},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5766283273696899},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5701032280921936},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5542777180671692},{"id":"https://openalex.org/keywords/labelling","display_name":"Labelling","score":0.5207605361938477},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4772610366344452},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.4597565829753876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45496803522109985},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.45495548844337463},{"id":"https://openalex.org/keywords/acoustic-model","display_name":"Acoustic model","score":0.447848916053772},{"id":"https://openalex.org/keywords/linear-predictive-coding","display_name":"Linear predictive coding","score":0.44741809368133545},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4412260055541992},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.42356908321380615},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.37317153811454773},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10399645566940308}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7237381339073181},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6938944458961487},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.605344831943512},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5766283273696899},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5701032280921936},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5542777180671692},{"id":"https://openalex.org/C2780523633","wikidata":"https://www.wikidata.org/wiki/Q380709","display_name":"Labelling","level":2,"score":0.5207605361938477},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4772610366344452},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.4597565829753876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45496803522109985},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.45495548844337463},{"id":"https://openalex.org/C155635449","wikidata":"https://www.wikidata.org/wiki/Q4674699","display_name":"Acoustic model","level":3,"score":0.447848916053772},{"id":"https://openalex.org/C59883199","wikidata":"https://www.wikidata.org/wiki/Q1826438","display_name":"Linear predictive coding","level":3,"score":0.44741809368133545},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4412260055541992},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.42356908321380615},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.37317153811454773},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10399645566940308},{"id":"https://openalex.org/C73484699","wikidata":"https://www.wikidata.org/wiki/Q161733","display_name":"Criminology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1986.1168530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1986.1168530","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1675435974","https://openalex.org/W1691045836","https://openalex.org/W2067140983","https://openalex.org/W4234264044"],"related_works":["https://openalex.org/W2363301696","https://openalex.org/W2352223112","https://openalex.org/W1570840316","https://openalex.org/W2139283974","https://openalex.org/W2106898123","https://openalex.org/W2534663775","https://openalex.org/W2160220319","https://openalex.org/W2167107465","https://openalex.org/W2115984063","https://openalex.org/W2161287643"],"abstract_inverted_index":{"We":[0],"present":[1],"in":[2],"this":[3],"paper":[4],"an":[5,38],"automatic":[6],"segmentation":[7,19],"and":[8,27,45,67,69],"labelling":[9,29],"module":[10],"for":[11],"the":[12,22,28,43],"steady":[13],"parts":[14],"of":[15],"continuous":[16],"speech.":[17],"The":[18,50],"stage":[20,30],"splits":[21],"signal":[23],"into":[24],"five":[25],"classes,":[26],"uses":[31],"vector":[32],"quantization":[33],"techniques":[34],"as":[35,37],"well":[36],"original":[39],"decision":[40],"rule":[41],"mixing":[42],"Bayes":[44],"K":[46],"Nearest":[47],"Neighbor":[48],"criteria.":[49],"resulting":[51],"(single":[52],"speaker)":[53],"recognition":[54],"scores":[55],"are":[56],"very":[57],"encouraging.":[58],"This":[59],"project":[60],"is":[61],"supported":[62],"by":[63],"grants":[64],"from":[65],"ANRT(*)":[66],"TELIC-ALCATEL,":[68],"realized":[70],"at":[71],"ENST.":[72]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
