{"id":"https://openalex.org/W2140648840","doi":"https://doi.org/10.1109/icpr.2002.1048175","title":"A two level classifier process for audio segmentation","display_name":"A two level classifier process for audio segmentation","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2140648840","doi":"https://doi.org/10.1109/icpr.2002.1048175","mag":"2140648840"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1048175","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1048175","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","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/A5024171000","display_name":"S\u00e9bastien Lef\u00e8vre","orcid":"https://orcid.org/0000-0002-2384-8202"},"institutions":[{"id":"https://openalex.org/I110017253","display_name":"Universit\u00e9 de Tours","ror":"https://ror.org/02wwzvj46","country_code":"FR","type":"education","lineage":["https://openalex.org/I110017253"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"S. Lefevre","raw_affiliation_strings":["Laboratoire dE28099Informatique, E3i/Universit\u00e9 de Tours, Tours, France","Lab. d'Informatique, Univ. de Tours, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire dE28099Informatique, E3i/Universit\u00e9 de Tours, Tours, France","institution_ids":["https://openalex.org/I110017253"]},{"raw_affiliation_string":"Lab. d'Informatique, Univ. de Tours, France","institution_ids":["https://openalex.org/I110017253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027775447","display_name":"Benjamin Maillard","orcid":null},"institutions":[{"id":"https://openalex.org/I110017253","display_name":"Universit\u00e9 de Tours","ror":"https://ror.org/02wwzvj46","country_code":"FR","type":"education","lineage":["https://openalex.org/I110017253"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"B. Maillard","raw_affiliation_strings":["Laboratoire dE28099Informatique, E3i/Universit\u00e9 de Tours, Tours, France","Lab. d'Informatique, Univ. de Tours, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire dE28099Informatique, E3i/Universit\u00e9 de Tours, Tours, France","institution_ids":["https://openalex.org/I110017253"]},{"raw_affiliation_string":"Lab. d'Informatique, Univ. de Tours, France","institution_ids":["https://openalex.org/I110017253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088265113","display_name":"Nicole Vincent","orcid":"https://orcid.org/0000-0002-0151-0622"},"institutions":[{"id":"https://openalex.org/I110017253","display_name":"Universit\u00e9 de Tours","ror":"https://ror.org/02wwzvj46","country_code":"FR","type":"education","lineage":["https://openalex.org/I110017253"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"N. Vincent","raw_affiliation_strings":["Laboratoire dE28099Informatique, E3i/Universit\u00e9 de Tours, Tours, France","Lab. d'Informatique, Univ. de Tours, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire dE28099Informatique, E3i/Universit\u00e9 de Tours, Tours, France","institution_ids":["https://openalex.org/I110017253"]},{"raw_affiliation_string":"Lab. d'Informatique, Univ. de Tours, France","institution_ids":["https://openalex.org/I110017253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024171000"],"corresponding_institution_ids":["https://openalex.org/I110017253"],"apc_list":null,"apc_paid":null,"fwci":0.2963,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59930281,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"891","last_page":"894"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998999834060669,"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/T11309","display_name":"Music and Audio Processing","score":0.9998999834060669,"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/T10860","display_name":"Speech and Audio Processing","score":0.9990000128746033,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9958999752998352,"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.8249616622924805},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7567868232727051},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7353883981704712},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7126455903053284},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6457986235618591},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6334600448608398},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.5508426427841187},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.458851158618927},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.44359830021858215},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.4128045439720154},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.39280077815055847},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.21518853306770325},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19516518712043762}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.8249616622924805},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7567868232727051},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7353883981704712},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7126455903053284},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6457986235618591},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6334600448608398},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.5508426427841187},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.458851158618927},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.44359830021858215},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.4128045439720154},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.39280077815055847},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.21518853306770325},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19516518712043762},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2002.1048175","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1048175","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.335.5989","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.335.5989","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dpt-info.u-strasbg.fr/~lefevre/publis/icpr2002.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W139898027","https://openalex.org/W1541409989","https://openalex.org/W1545046063","https://openalex.org/W1969715806","https://openalex.org/W1978819898","https://openalex.org/W1981663210","https://openalex.org/W1993625798","https://openalex.org/W2029900646","https://openalex.org/W2032360374","https://openalex.org/W2039275978","https://openalex.org/W2077574412","https://openalex.org/W2078306367","https://openalex.org/W2110458017","https://openalex.org/W2115877992","https://openalex.org/W2125838338","https://openalex.org/W2135870617","https://openalex.org/W2166248431","https://openalex.org/W2468714721","https://openalex.org/W4285719527","https://openalex.org/W6605678257","https://openalex.org/W6642708116","https://openalex.org/W6684426571"],"related_works":["https://openalex.org/W1510894296","https://openalex.org/W2134386692","https://openalex.org/W2082284720","https://openalex.org/W2084326697","https://openalex.org/W2194396582","https://openalex.org/W2027903142","https://openalex.org/W2116722627","https://openalex.org/W2537260108","https://openalex.org/W2354322608","https://openalex.org/W2379938888"],"abstract_inverted_index":{"We":[0,9],"are":[1,28,47,139,152],"dealing":[2],"in":[3,24,155],"this":[4],"paper":[5],"with":[6],"audio":[7,19,43,53,68,76,160],"segmentation.":[8],"propose":[10],"a":[11,51,57,64,80,83,92],"two":[12],"level":[13,89],"segmentation":[14,34],"process":[15],"that":[16],"enables":[17],"the":[18,67,87,99,103,111,122],"tracks":[20],"to":[21,148],"be":[22,163],"sampled":[23],"short":[25],"sequences":[26],"which":[27,62],"classified":[29],"into":[30],"several":[31,39,166],"classes.":[32],"The":[33,70],"is":[35,63,108],"performed":[36],"by":[37,165],"computing":[38],"features":[40,46,131,167],"for":[41,73],"each":[42,159],"sequence.":[44],"These":[45],"computed":[48],"either":[49],"on":[50,56],"complete":[52],"segment":[54,88,161],"or":[55],"frame":[58,100],"(set":[59],"of":[60,66,75,79,82,91,102,124,142,168],"samples)":[61],"subset":[65],"segment.":[69],"proposed":[71],"approach":[72],"microsegmentation":[74],"data":[77],"consists":[78],"combination":[81],"K-means":[84,112],"classifier":[85,113],"at":[86],"and":[90,114,129],"multidimensional":[93,125],"hidden":[94,126,136,144],"Markov":[95,127,137,145],"model":[96,146],"system":[97],"using":[98,110],"decomposition":[101],"signal.":[104],"A":[105],"first":[106],"classification":[107],"obtained":[109],"segment-based":[115],"features.":[116],"Then":[117],"final":[118],"result":[119],"comes":[120],"from":[121],"use":[123],"models":[128,138],"frame-based":[130],"involving":[132],"temporary":[133],"results.":[134],"Multidimensional":[135],"an":[140],"extension":[141],"classical":[143],"dedicated":[147],"multicomponents":[149],"data.":[150],"They":[151],"particularly":[153],"adapted":[154],"our":[156],"case":[157],"where":[158],"can":[162],"characterized":[164],"different":[169],"nature.":[170]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}