{"id":"https://openalex.org/W2905717109","doi":"https://doi.org/10.1109/icecocs.2018.8610514","title":"Improving the computational performance of standard GMM-based voice conversion systems used in real-time applications","display_name":"Improving the computational performance of standard GMM-based voice conversion systems used in real-time applications","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2905717109","doi":"https://doi.org/10.1109/icecocs.2018.8610514","mag":"2905717109"},"language":"en","primary_location":{"id":"doi:10.1109/icecocs.2018.8610514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecocs.2018.8610514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS)","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/A5020728635","display_name":"Imen Ben Othmane","orcid":"https://orcid.org/0000-0002-6345-5366"},"institutions":[{"id":"https://openalex.org/I179097149","display_name":"University of Carthage","ror":"https://ror.org/057x6za15","country_code":"TN","type":"education","lineage":["https://openalex.org/I179097149"]},{"id":"https://openalex.org/I4210097418","display_name":"Laboratoire des signaux et syst\u00e8mes","ror":"https://ror.org/00skw9v43","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210097418","https://openalex.org/I4210107720"]}],"countries":["FR","TN"],"is_corresponding":false,"raw_author_name":"Imen Ben Othmane","raw_affiliation_strings":["Research Unit Signals and Mechatronic Systems, ENICarthage University of Carthage, Tunisia","Statistical Machine Translation and Speech Modelization and Text","Unit\u00e9 de Recherche Syst\u00e8mes M\u00e9catroniques et Signaux"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Unit Signals and Mechatronic Systems, ENICarthage University of Carthage, Tunisia","institution_ids":["https://openalex.org/I179097149"]},{"raw_affiliation_string":"Statistical Machine Translation and Speech Modelization and Text","institution_ids":[]},{"raw_affiliation_string":"Unit\u00e9 de Recherche Syst\u00e8mes M\u00e9catroniques et Signaux","institution_ids":["https://openalex.org/I4210097418"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111368152","display_name":"Joseph Di Martino","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Joseph Di Martino","raw_affiliation_strings":["LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications, Vandoeuvre-l\u00e9s-Nancy, France","Statistical Machine Translation and Speech Modelization and Text"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications, Vandoeuvre-l\u00e9s-Nancy, France","institution_ids":["https://openalex.org/I4210121838"]},{"raw_affiliation_string":"Statistical Machine Translation and Speech Modelization and Text","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087211163","display_name":"Ka\u00efs Ouni","orcid":"https://orcid.org/0000-0003-1989-5177"},"institutions":[{"id":"https://openalex.org/I179097149","display_name":"University of Carthage","ror":"https://ror.org/057x6za15","country_code":"TN","type":"education","lineage":["https://openalex.org/I179097149"]},{"id":"https://openalex.org/I4210097418","display_name":"Laboratoire des signaux et syst\u00e8mes","ror":"https://ror.org/00skw9v43","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210097418","https://openalex.org/I4210107720"]}],"countries":["FR","TN"],"is_corresponding":false,"raw_author_name":"Kais Ouni","raw_affiliation_strings":["Research Unit Signals and Mechatronic Systems, ENICarthage University of Carthage, Tunisia","Unit\u00e9 de Recherche Syst\u00e8mes M\u00e9catroniques et Signaux"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Unit Signals and Mechatronic Systems, ENICarthage University of Carthage, Tunisia","institution_ids":["https://openalex.org/I179097149"]},{"raw_affiliation_string":"Unit\u00e9 de Recherche Syst\u00e8mes M\u00e9catroniques et Signaux","institution_ids":["https://openalex.org/I4210097418"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2262,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5520002,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6 2","issue":null,"first_page":"1","last_page":"5"},"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":0.9983000159263611,"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":0.9884999990463257,"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/computer-science","display_name":"Computer science","score":0.7720623016357422},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.7116213440895081},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6088695526123047},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.5835725665092468},{"id":"https://openalex.org/keywords/vocal-tract","display_name":"Vocal tract","score":0.5698503255844116},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5098318457603455},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5069394707679749},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.49731114506721497},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4637167453765869},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.4176277220249176},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.41600289940834045},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.33271318674087524},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2143501341342926},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1277937889099121}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7720623016357422},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.7116213440895081},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6088695526123047},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.5835725665092468},{"id":"https://openalex.org/C47401133","wikidata":"https://www.wikidata.org/wiki/Q748953","display_name":"Vocal tract","level":2,"score":0.5698503255844116},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5098318457603455},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5069394707679749},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.49731114506721497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4637167453765869},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.4176277220249176},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.41600289940834045},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.33271318674087524},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2143501341342926},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1277937889099121},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icecocs.2018.8610514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecocs.2018.8610514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01886099v1","is_oa":false,"landing_page_url":"https://inria.hal.science/hal-01886099","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICECOCS\u201918 - 1st International Conference on Electronics, Control, Optimization and Computer Science, Dec 2018, Kenitra, Morocco. &#x27E8;10.1109/ICECOCS.2018.8610514&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W87473629","https://openalex.org/W95152782","https://openalex.org/W1578013635","https://openalex.org/W1588037970","https://openalex.org/W1926768285","https://openalex.org/W2005438552","https://openalex.org/W2013996527","https://openalex.org/W2033516035","https://openalex.org/W2074783531","https://openalex.org/W2081198341","https://openalex.org/W2086796102","https://openalex.org/W2093866254","https://openalex.org/W2111550316","https://openalex.org/W2114190875","https://openalex.org/W2114543868","https://openalex.org/W2120605154","https://openalex.org/W2120847449","https://openalex.org/W2123003832","https://openalex.org/W2126143605","https://openalex.org/W2128160875","https://openalex.org/W2136166660","https://openalex.org/W2147152002","https://openalex.org/W2156142001","https://openalex.org/W2161135987","https://openalex.org/W2161160262","https://openalex.org/W2169579015","https://openalex.org/W2401544731","https://openalex.org/W2794671142","https://openalex.org/W4245885054"],"related_works":["https://openalex.org/W1598110435","https://openalex.org/W3162157266","https://openalex.org/W2162084437","https://openalex.org/W3044927199","https://openalex.org/W2548184953","https://openalex.org/W2102353451","https://openalex.org/W1528914981","https://openalex.org/W2048014685","https://openalex.org/W3009295899","https://openalex.org/W2370972896"],"abstract_inverted_index":{"Voice":[0],"conversion":[1,31,77],"(VC)":[2],"can":[3],"be":[4],"described":[5],"as":[6],"finding":[7],"a":[8,17,23,54,59,67,104,110,152,164],"mapping":[9,91,119],"function":[10],"which":[11,121],"transforms":[12],"the":[13,33,82,89,96,117,123,128,134,147,159,177,181,188],"features":[14],"extracted":[15,145],"from":[16,146],"source":[18,129],"speaker":[19,130],"to":[20,44,72,115,162],"those":[21,132],"of":[22,103,127,133],"target":[24,135,148,168],"speaker.":[25,136],"Gaussian":[26],"mixture":[27],"model":[28],"(GMM)":[29],"based":[30],"is":[32,41],"most":[34],"commonly":[35],"used":[36,157],"technique":[37,179],"in":[38,62,70,113,158],"VC,":[39],"but":[40],"often":[42],"sensitive":[43],"overfitting":[45],"and":[46,143,172,190],"oversmoothing.":[47],"To":[48],"address":[49],"these":[50],"issues,":[51],"we":[52],"propose":[53],"secondary":[55],"classification":[56,61,69],"by":[57,66,109],"applying":[58],"K-means":[60],"each":[63],"class":[64],"obtained":[65],"primary":[68],"order":[71,114],"obtain":[73],"more":[74],"precise":[75],"local":[76,90,118],"functions.":[78],"This":[79],"proposal":[80],"avoids":[81],"need":[83],"for":[84],"complex":[85],"training":[86,111,149,189],"algorithms":[87],"because":[88],"functions":[92,120],"are":[93,156],"determined":[94],"at":[95],"same":[97],"time.":[98],"The":[99,137],"proposed":[100,178],"approach":[101,184],"consists":[102],"Fourier":[105],"cepstral":[106],"analysis,":[107],"followed":[108],"phase":[112,144],"find":[116],"transform":[122],"vocal":[124],"tract":[125],"characteristics":[126],"into":[131],"converted":[138,165],"parameters":[139],"together":[140],"with":[141,167],"excitation":[142],"space":[150],"using":[151],"frame":[153],"index":[154],"selection":[155],"synthesis":[160],"step":[161],"generate":[163],"speech":[166,169],"characteristics.":[170],"Objective":[171],"subjective":[173],"experiments":[174],"prove":[175],"that":[176],"outperforms":[180],"baseline":[182],"GMM":[183],"while":[185],"greatly":[186],"reducing":[187],"transformation":[191],"computation":[192],"times.":[193]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2019-01-01T00:00:00"}
