{"id":"https://openalex.org/W138253549","doi":"https://doi.org/10.21437/eurospeech.1995-403","title":"An RNN based speech recognition system with discriminative training","display_name":"An RNN based speech recognition system with discriminative training","publication_year":1995,"publication_date":"1995-09-18","ids":{"openalex":"https://openalex.org/W138253549","doi":"https://doi.org/10.21437/eurospeech.1995-403","mag":"138253549"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.1995-403","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.1995-403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"4th European Conference on Speech Communication and Technology (Eurospeech 1995)","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/A5001795601","display_name":"Tan Lee","orcid":"https://orcid.org/0000-0002-7089-3436"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tan Lee","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062365583","display_name":"P.C. Ching","orcid":"https://orcid.org/0000-0002-4692-8707"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"P. C. Ching","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5111425337","display_name":"L.W. Chan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"L. W. Chan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5895,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.72221218,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1667","last_page":"1670"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9294999837875366,"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":0.9294999837875366,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8117349147796631},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7564665079116821},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7292091250419617},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5196253657341003},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5037395358085632},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4642053246498108},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33991366624832153},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.12479075789451599}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8117349147796631},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7564665079116821},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7292091250419617},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5196253657341003},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5037395358085632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4642053246498108},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33991366624832153},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.12479075789451599},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.21437/eurospeech.1995-403","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.1995-403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"4th European Conference on Speech Communication and Technology (Eurospeech 1995)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.39.1053","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.39.1053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ee.cuhk.edu.hk/~tlee1/paper/eurospeech95.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.48.1805","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.48.1805","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ee.cuhk.edu.hk/~tlee1/paper/eurospeech95.ps","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W1482209366","https://openalex.org/W2404514746","https://openalex.org/W1652783584","https://openalex.org/W2082783427"],"abstract_inverted_index":{"In":[0,51,92],"our":[1],"previous":[2],"work":[3],"#1#,":[4],"a":[5,10,94],"novel":[6],"method":[7],"of":[8,12,28,104],"utilizing":[9],"set":[11],"fully":[13],"connected":[14],"recurrent":[15],"neural":[16],"networks":[17],"#RNNs#":[18],"for":[19,42,61,115],"speech":[20,35,43,73,84],"modeling":[21],"has":[22],"been":[23,112],"proposed.":[24],"Despite":[25],"the":[26,29,37,62,82,90,101,105],"e#ectiveness":[27],"RNN":[30,63,72],"model":[31,74],"in":[32],"characterizing":[33],"individual":[34],"units,":[36],"system":[38],"performs":[39],"less":[40],"satisfactorily":[41],"recognition":[44,65,106,109,135],"due":[45],"to":[46,77,99],"poor":[47],"discrimination":[48],"between":[49],"models.":[50],"this":[52],"paper,":[53],"an":[54],"e#cient":[55],"discriminative":[56,69],"training":[57],"procedure":[58],"is":[59,75,97],"developed":[60],"based":[64],"system.":[66,107],"By":[67],"using":[68],"training,":[70],"each":[71],"adjusted":[76],"reduce":[78],"its":[79],"distance":[80],"from":[81,89],"designated":[83],"unit":[85],"while":[86],"increase":[87],"distances":[88],"others.":[91],"addition,":[93],"duration-screening":[95],"process":[96],"introduced":[98],"enhance":[100],"discriminating":[102],"power":[103],"Speaker-dependent":[108],"experiments":[110],"have":[111],"carried":[113],"out":[114],"1#":[116],"11":[117],"isolated":[118,132],"Cantonese":[119,125],"digits,":[120],"2#":[121],"58":[122],"very":[123],"confusing":[124],"CV":[126],"syllables,":[127],"and":[128,141],"3#":[129],"20":[130],"English":[131],"words.":[133],"The":[134],"rates":[136],"attained":[137],"are":[138],"90.9#,":[139],"86.7#":[140],"93.5#":[142],"respectively.":[143],"I.":[144],"Int...":[145]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}