{"id":"https://openalex.org/W239800325","doi":"https://doi.org/10.21437/interspeech.2006-464","title":"Cooperation between global and local methods for the automatic segmentation of speech synthesis corpora","display_name":"Cooperation between global and local methods for the automatic segmentation of speech synthesis corpora","publication_year":2006,"publication_date":"2006-09-17","ids":{"openalex":"https://openalex.org/W239800325","doi":"https://doi.org/10.21437/interspeech.2006-464","mag":"239800325"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2006-464","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2006-464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2006","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/A5044383431","display_name":"Safaa Jarifi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132604","display_name":"Centre Hospitalier R\u00e9gional Universitaire de Brest","ror":"https://ror.org/03evbwn87","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I154526488","https://openalex.org/I4210105774","https://openalex.org/I4210132604","https://openalex.org/I4210161065"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Safaa Jarifi","raw_affiliation_strings":["D\u00e9partement Signal et Communication, Technop\u00f4le Brest-Iroise, CS 83818, 29285 Brest Cedex, France","\u00c9cole Nat. Sup. des T\u00e9l\u00e9communications de Bretagne,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"D\u00e9partement Signal et Communication, Technop\u00f4le Brest-Iroise, CS 83818, 29285 Brest Cedex, France","institution_ids":["https://openalex.org/I4210132604"]},{"raw_affiliation_string":"\u00c9cole Nat. Sup. des T\u00e9l\u00e9communications de Bretagne,","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070406096","display_name":"Dominique Pastor","orcid":"https://orcid.org/0000-0001-5717-5918"},"institutions":[{"id":"https://openalex.org/I4210132604","display_name":"Centre Hospitalier R\u00e9gional Universitaire de Brest","ror":"https://ror.org/03evbwn87","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I154526488","https://openalex.org/I4210105774","https://openalex.org/I4210132604","https://openalex.org/I4210161065"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Dominique Pastor","raw_affiliation_strings":["D\u00e9partement Signal et Communication, Technop\u00f4le Brest-Iroise, CS 83818, 29285 Brest Cedex, France","\u00c9cole Nat. Sup. des T\u00e9l\u00e9communications de Bretagne,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"D\u00e9partement Signal et Communication, Technop\u00f4le Brest-Iroise, CS 83818, 29285 Brest Cedex, France","institution_ids":["https://openalex.org/I4210132604"]},{"raw_affiliation_string":"\u00c9cole Nat. Sup. des T\u00e9l\u00e9communications de Bretagne,","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046789266","display_name":"Olivier Rosec","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Olivier Rosec","raw_affiliation_strings":["France T\u00e9l\u00e9com, Division R&D TECH/SSTP/VMI, 2, avenue Pierre Marzin, 22307 Lannion Cedex, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"France T\u00e9l\u00e9com, Division R&D TECH/SSTP/VMI, 2, avenue Pierre Marzin, 22307 Lannion Cedex, France","institution_ids":["https://openalex.org/I19370010"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7328,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.65252817,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"paper 1160","last_page":"Wed1FoP.4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9990000128746033,"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":0.9990000128746033,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9664000272750854,"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":0.9544000029563904,"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.8445351123809814},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7762985229492188},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6759225726127625},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6547343134880066},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.6006041169166565},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.5926677584648132},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5601579546928406},{"id":"https://openalex.org/keywords/speech-segmentation","display_name":"Speech segmentation","score":0.5260624289512634},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5096702575683594},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.4687001407146454},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.44190889596939087},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.43629246950149536},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.43171218037605286},{"id":"https://openalex.org/keywords/classification-of-discontinuities","display_name":"Classification of discontinuities","score":0.43026119470596313},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10380741953849792}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.8445351123809814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7762985229492188},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6759225726127625},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6547343134880066},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.6006041169166565},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.5926677584648132},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5601579546928406},{"id":"https://openalex.org/C207030507","wikidata":"https://www.wikidata.org/wiki/Q2266173","display_name":"Speech segmentation","level":3,"score":0.5260624289512634},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5096702575683594},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.4687001407146454},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.44190889596939087},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.43629246950149536},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.43171218037605286},{"id":"https://openalex.org/C15627037","wikidata":"https://www.wikidata.org/wiki/Q541961","display_name":"Classification of discontinuities","level":2,"score":0.43026119470596313},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10380741953849792},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2006-464","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2006-464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2006","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1508536136","https://openalex.org/W1594082249","https://openalex.org/W2112446559","https://openalex.org/W2147333232"],"related_works":["https://openalex.org/W1558302546","https://openalex.org/W4214818988","https://openalex.org/W2168417340","https://openalex.org/W4255793089","https://openalex.org/W2402157757","https://openalex.org/W2738297198","https://openalex.org/W1886519670","https://openalex.org/W2121987127","https://openalex.org/W2064292782","https://openalex.org/W2388853280"],"abstract_inverted_index":{"This":[0],"paper":[1,88],"introduces":[2],"a":[3,43,48],"new":[4],"approach":[5,20,93],"for":[6,80],"the":[7,24,33,70,73,91],"automatic":[8],"segmentation":[9,28],"of":[10,26,72],"corpora":[11],"dedicated":[12],"to":[13,22,65],"speech":[14],"synthesis.The":[15],"main":[16],"idea":[17],"behind":[18],"this":[19,87],"is":[21,32,55],"merge":[23],"outputs":[25],"three":[27],"algorithms.The":[29],"first":[30],"one":[31],"standard":[34],"HMM-based":[35],"(Hidden":[36],"Markov":[37],"Model)":[38],"approach.The":[39],"second":[40],"algorithm":[41],"uses":[42],"phone":[44],"boundary":[45],"model,":[46],"namely":[47],"GMM":[49],"(Gaussian":[50],"Mixture":[51],"Model).The":[52],"third":[53],"method":[54],"based":[56],"on":[57],"Brandt's":[58],"GLR":[59],"(Generalized":[60],"Likelihood":[61],"Ratio)":[62],"and":[63],"aims":[64],"detect":[66],"signal":[67],"discontinuities":[68],"in":[69,86],"vicinity":[71],"HMM":[74],"boundaries.Different":[75],"fusion":[76],"strategies":[77],"are":[78],"considered":[79],"each":[81],"phonetic":[82],"class.The":[83],"experiments":[84],"presented":[85],"show":[89],"that":[90],"proposed":[92],"yields":[94],"better":[95],"accuracy":[96],"than":[97],"existing":[98],"methods.":[99]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
