{"id":"https://openalex.org/W97321478","doi":"https://doi.org/10.21437/ecst.1987-74","title":"The use of rough spectral features for large vocabulary recognition","display_name":"The use of rough spectral features for large vocabulary recognition","publication_year":1987,"publication_date":"1987-09-01","ids":{"openalex":"https://openalex.org/W97321478","doi":"https://doi.org/10.21437/ecst.1987-74","mag":"97321478"},"language":"en","primary_location":{"id":"doi:10.21437/ecst.1987-74","is_oa":true,"landing_page_url":"http://dx.doi.org/10.21437/ecst.1987-74","pdf_url":"https://www.isca-archive.org/ecst_1987/adda87_ecst.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"European Conference on Speech Technology","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.isca-archive.org/ecst_1987/adda87_ecst.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021094021","display_name":"Gilles Adda","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115485","display_name":"Laboratoire d'Informatique pour la M\u00e9canique et les Sciences de l'Ing\u00e9nieur","ror":"https://ror.org/01raq4x89","country_code":"FR","type":"facility","lineage":["https://openalex.org/I102197404","https://openalex.org/I1294671590","https://openalex.org/I4210115485","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gilles Adda","raw_affiliation_strings":["LIMSI -CNRS sp 30 91406 ORSAY CEDEX FRANCE","LIMSI -CNRS \u2022sp 30 91406 ORSAY CEDEX FRANCE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIMSI -CNRS sp 30 91406 ORSAY CEDEX FRANCE","institution_ids":["https://openalex.org/I4210115485"]},{"raw_affiliation_string":"LIMSI -CNRS \u2022sp 30 91406 ORSAY CEDEX FRANCE","institution_ids":["https://openalex.org/I4210115485"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077285164","display_name":"Maxine Esk\u00e9nazi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115485","display_name":"Laboratoire d'Informatique pour la M\u00e9canique et les Sciences de l'Ing\u00e9nieur","ror":"https://ror.org/01raq4x89","country_code":"FR","type":"facility","lineage":["https://openalex.org/I102197404","https://openalex.org/I1294671590","https://openalex.org/I4210115485","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Maxine Esk\u00e9nazi","raw_affiliation_strings":["LIMSI -CNRS sp 30 91406 ORSAY CEDEX FRANCE","LIMSI -CNRS \u2022sp 30 91406 ORSAY CEDEX FRANCE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIMSI -CNRS sp 30 91406 ORSAY CEDEX FRANCE","institution_ids":["https://openalex.org/I4210115485"]},{"raw_affiliation_string":"LIMSI -CNRS \u2022sp 30 91406 ORSAY CEDEX FRANCE","institution_ids":["https://openalex.org/I4210115485"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003404862","display_name":"P. E. Stem","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"P. E. Stem","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.56,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72461229,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1171","last_page":"1174"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9933000206947327,"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/T10403","display_name":"Phonetics and Phonology Research","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.720138430595398},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.693935751914978},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6314642429351807},{"id":"https://openalex.org/keywords/syllable","display_name":"Syllable","score":0.5990043878555298},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5727360844612122},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5651417374610901},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5567665100097656},{"id":"https://openalex.org/keywords/string","display_name":"String (physics)","score":0.5336611270904541},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5321138501167297},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5259678363800049},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5202913880348206},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.46013420820236206},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4470564126968384},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42732810974121094},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3158017098903656},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.19676345586776733}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.720138430595398},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.693935751914978},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6314642429351807},{"id":"https://openalex.org/C109089402","wikidata":"https://www.wikidata.org/wiki/Q8188","display_name":"Syllable","level":2,"score":0.5990043878555298},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5727360844612122},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5651417374610901},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5567665100097656},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.5336611270904541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5321138501167297},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5259678363800049},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5202913880348206},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.46013420820236206},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4470564126968384},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42732810974121094},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3158017098903656},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.19676345586776733},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/ecst.1987-74","is_oa":true,"landing_page_url":"http://dx.doi.org/10.21437/ecst.1987-74","pdf_url":"https://www.isca-archive.org/ecst_1987/adda87_ecst.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"European Conference on Speech Technology","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.21437/ecst.1987-74","is_oa":true,"landing_page_url":"http://dx.doi.org/10.21437/ecst.1987-74","pdf_url":"https://www.isca-archive.org/ecst_1987/adda87_ecst.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"European Conference on Speech Technology","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.800000011920929,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W97321478.pdf","grobid_xml":"https://content.openalex.org/works/W97321478.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W1667818435","https://openalex.org/W1825672924","https://openalex.org/W1991747616","https://openalex.org/W2399492025","https://openalex.org/W6601204288","https://openalex.org/W6634782987"],"related_works":["https://openalex.org/W2349784553","https://openalex.org/W3022596247","https://openalex.org/W2601444686","https://openalex.org/W4307058054","https://openalex.org/W4292238148","https://openalex.org/W4323660495","https://openalex.org/W2891881129","https://openalex.org/W2385319785","https://openalex.org/W2900827440","https://openalex.org/W1997182898"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,21,43],"study":[4],"of":[5,8,24,36],"the":[6,17,51],"use":[7,35],"rough":[9],"spectral":[10],"features":[11,38],"which":[12],"may":[13],"be":[14],"detected":[15],"in":[16],"speech":[18],"signal":[19],"with":[20],"high":[22],"degree":[23],"certainty,":[25],"for":[26],"large":[27],"vocabulary":[28,52],"()15,000":[29],"words)":[30],"isolated":[31],"word":[32],"recognition.":[33],"The":[34],"these":[37],"must":[39],"permit":[40],"correct":[41],"preclassification,":[42],"finer":[44],"recognition":[45],"process":[46],"being":[47],"used":[48],"afterward":[49],"on":[50],"subset.":[53]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
