{"id":"https://openalex.org/W185946295","doi":"https://doi.org/10.21437/eurospeech.1999-261","title":"Environment adaptation and long term parameters in speaker identification","display_name":"Environment adaptation and long term parameters in speaker identification","publication_year":1999,"publication_date":"1999-09-05","ids":{"openalex":"https://openalex.org/W185946295","doi":"https://doi.org/10.21437/eurospeech.1999-261","mag":"185946295"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.1999-261","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.1999-261","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th European Conference on Speech Communication and Technology","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":null,"display_name":"Chakib Tadj","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chakib Tadj","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Pierre Dumouchel","orcid":null},"institutions":[{"id":"https://openalex.org/I198415970","display_name":"Universit\u00e9 d'Avignon et des Pays de Vaucluse","ror":"https://ror.org/00mfpxb84","country_code":"FR","type":"education","lineage":["https://openalex.org/I198415970"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pierre Dumouchel","raw_affiliation_strings":["University of Avignon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Avignon","institution_ids":["https://openalex.org/I198415970"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mohamed Mihoubi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohamed Mihoubi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Pierre Ouellet","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pierre Ouellet","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.1409,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.9385052,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1015","last_page":"1018"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9987000226974487,"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/T11309","display_name":"Music and Audio Processing","score":0.9916999936103821,"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/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.8907070159912109},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6999162435531616},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.6952394247055054},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.597614049911499},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5708820819854736},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5636458396911621},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5520423650741577},{"id":"https://openalex.org/keywords/spectral-analysis","display_name":"Spectral analysis","score":0.45119616389274597},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.43657630681991577},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29614871740341187},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23680946230888367},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.1967645287513733},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13605782389640808}],"concepts":[{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.8907070159912109},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6999162435531616},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.6952394247055054},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.597614049911499},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5708820819854736},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5636458396911621},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5520423650741577},{"id":"https://openalex.org/C2983668108","wikidata":"https://www.wikidata.org/wiki/Q280453","display_name":"Spectral analysis","level":3,"score":0.45119616389274597},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.43657630681991577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29614871740341187},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23680946230888367},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.1967645287513733},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13605782389640808},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C32891209","wikidata":"https://www.wikidata.org/wiki/Q483666","display_name":"Spectroscopy","level":2,"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/eurospeech.1999-261","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.1999-261","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th European Conference on Speech Communication and Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2096795584","https://openalex.org/W2134907893","https://openalex.org/W2135070170","https://openalex.org/W2158483598"],"related_works":["https://openalex.org/W2018086531","https://openalex.org/W1980297060","https://openalex.org/W2387604097","https://openalex.org/W2736574136","https://openalex.org/W2373675101","https://openalex.org/W2038216521","https://openalex.org/W4385672897","https://openalex.org/W106160982","https://openalex.org/W894828327","https://openalex.org/W2136559180"],"abstract_inverted_index":{"The":[0],"paper":[1],"discusses":[2],"the":[3,43,51],"use,":[4],"in":[5,13,21],"a":[6],"hybrid":[7],"recognizer,":[8],"of":[9,46],"gravity":[10],"centers":[11],"(gc)":[12],"spectral":[14],"subbands":[15],"as":[16],"features":[17],"to":[18,23,56],"be":[19],"used":[20],"addition":[22],"Mel":[24],"Scaled":[25],"Cepstral":[26],"Coefficients":[27],"(MFCC)":[28],"and":[29],"their":[30],"time":[31],"derivatives.":[32],"Results":[33],"on":[34],"noisy":[35],"telephone":[36],"speech":[37],"show":[38],"that":[39],"gc":[40],"computed":[41],"after":[42],"nonlinear":[44],"processing":[45],"an":[47],"ear":[48],"model":[49],"increase":[50],"word":[52],"accuracy":[53],"from":[54],"72.63%":[55],"78.13%":[57],".":[58]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}