{"id":"https://openalex.org/W2399351785","doi":"https://doi.org/10.21437/interspeech.2004-497","title":"Neural network language models for conversational speech recognition","display_name":"Neural network language models for conversational speech recognition","publication_year":2004,"publication_date":"2004-10-04","ids":{"openalex":"https://openalex.org/W2399351785","doi":"https://doi.org/10.21437/interspeech.2004-497","mag":"2399351785"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2004-497","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2004-497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2004","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/A5015857371","display_name":"Holger Schwenk","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Holger Schwenk","raw_affiliation_strings":["Laboratoire d'Informatique de l'Universit\u00e9 du Mans"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire d'Informatique de l'Universit\u00e9 du Mans","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109214406","display_name":"Jean\u2010Luc Gauvain","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":"Jean-Luc Gauvain","raw_affiliation_strings":["Laboratoire d'Informatique pour la M\u00e9canique et les Sciences de l'Ing\u00e9nieur"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire d'Informatique pour la M\u00e9canique et les Sciences de l'Ing\u00e9nieur","institution_ids":["https://openalex.org/I4210115485"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8667,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.91999559,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2253","last_page":"2256"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9900000095367432,"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":0.9811999797821045,"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":0.8495621085166931},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.7376109957695007},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6215391159057617},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6090337634086609},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5996266603469849},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5976819396018982},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5371196269989014},{"id":"https://openalex.org/keywords/nist","display_name":"NIST","score":0.519092321395874},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.44993025064468384},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4419667720794678},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4172281324863434},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3991850018501282}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8495621085166931},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.7376109957695007},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6215391159057617},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6090337634086609},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5996266603469849},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5976819396018982},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5371196269989014},{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.519092321395874},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.44993025064468384},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4419667720794678},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4172281324863434},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3991850018501282},{"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/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.21437/interspeech.2004-497","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2004-497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2004","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.586.432","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.586.432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-lium.univ-lemans.fr/~schwenk/papers/Schwenk.nnlm.is2004.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-01434488v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01434488","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":"International Conference on Speech and Language Processing, Oct 2004, Jeju, South Korea. pp.1215-1218, &#x27E8;10.21437/Interspeech.2004-497&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1597533204","https://openalex.org/W1631260214","https://openalex.org/W1741269295","https://openalex.org/W1808032177","https://openalex.org/W2056590938","https://openalex.org/W2070534370","https://openalex.org/W2140679639","https://openalex.org/W2154391726","https://openalex.org/W2912934387","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2158491338","https://openalex.org/W2807901368","https://openalex.org/W2133733652","https://openalex.org/W2072658171","https://openalex.org/W2606392311","https://openalex.org/W2320042380","https://openalex.org/W4385956668","https://openalex.org/W2160451571","https://openalex.org/W2495256954","https://openalex.org/W2259317772"],"abstract_inverted_index":{"Recently":[0],"there":[1],"is":[2,54,69],"growing":[3],"interest":[4],"in":[5,39,120],"using":[6],"neural":[7,24,88],"networks":[8],"for":[9,56,58,91,129],"language":[10,20,118],"modeling.":[11],"In":[12,78,102],"contrast":[13],"to":[14,28,98,112],"the":[15,23,32,37,73,83,87,124,130],"well":[16],"known":[17],"backoff":[18,117],"n-gram":[19],"models":[21],"(LM),":[22],"network":[25,89],"approach":[26],"tries":[27],"limit":[29],"problems":[30],"from":[31,96],"data":[33,68],"sparseness":[34],"by":[35,44],"performing":[36],"es-timation":[38],"a":[40,61,113,121],"continuous":[41],"space,":[42],"allowing":[43],"these":[45],"means":[46],"smooth":[47],"interpolations.":[48],"Therefore":[49],"this":[50,79],"type":[51],"of":[52,65,75,86,123],"LM":[53,90,146],"interesting":[55],"tasks":[57],"which":[59],"only":[60],"very":[62],"limited":[63],"amount":[64],"in-domain":[66,92],"training":[67,93],"available,":[70],"such":[71],"as":[72],"modeling":[74],"conversational":[76],"speech.":[77],"paper":[80],"we":[81],"analyze":[82],"generalization":[84],"behavior":[85],"corpora":[94],"vary-ing":[95],"7M":[97],"over":[99],"21M":[100],"words.":[101],"all":[103],"cases,":[104],"significant":[105],"word":[106],"error":[107],"reductions":[108],"were":[109],"observed":[110],"compared":[111],"carefully":[114],"tuned":[115],"4-gram":[116],"model":[119],"state":[122],"art":[125],"conversa-tional":[126],"speech":[127],"recognizer":[128],"NIST":[131],"rich":[132],"transcription":[133],"evalu-ations.":[134],"We":[135],"also":[136],"apply":[137],"ensemble":[138],"learning":[139],"methods":[140],"and":[141],"discuss":[142],"their":[143],"connections":[144],"with":[145],"interpolation.":[147],"1.":[148]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
