{"id":"https://openalex.org/W2972528057","doi":"https://doi.org/10.21437/interspeech.2019-2798","title":"Real-Time One-Pass Decoder for Speech Recognition Using LSTM Language Models","display_name":"Real-Time One-Pass Decoder for Speech Recognition Using LSTM Language Models","publication_year":2019,"publication_date":"2019-09-13","ids":{"openalex":"https://openalex.org/W2972528057","doi":"https://doi.org/10.21437/interspeech.2019-2798","mag":"2972528057"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2019-2798","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2019-2798","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2019","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/A5019556388","display_name":"Javier Jorge","orcid":"https://orcid.org/0000-0002-9279-6768"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Javier Jorge","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101428553","display_name":"Adri\u00e0 Gim\u00e9nez","orcid":"https://orcid.org/0000-0002-3822-5526"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adri\u00e0 Gim\u00e9nez","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053563948","display_name":"Javier Iranzo-S\u00e1nchez","orcid":"https://orcid.org/0000-0002-4035-3295"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Javier Iranzo-S\u00e1nchez","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063036884","display_name":"Jorge Civera","orcid":"https://orcid.org/0000-0002-0963-0143"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jorge Civera","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054332728","display_name":"Albert Sanch\u00eds","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Albert Sanchis","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5040605861","display_name":"Alfons Juan","orcid":"https://orcid.org/0000-0002-9984-4072"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alfons Juan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3820","last_page":"3824"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9952999949455261,"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":0.9905999898910522,"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":0.8257933855056763},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7135159969329834},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4884277880191803},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.478536456823349},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.46605855226516724}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8257933855056763},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7135159969329834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4884277880191803},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.478536456823349},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46605855226516724}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2019-2798","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2019-2798","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2019","raw_type":"proceedings-article"},{"id":"pmh:oai:riunet.upv.es:10251/213951","is_oa":false,"landing_page_url":"http://hdl.handle.net/10251/213951","pdf_url":null,"source":{"id":"https://openalex.org/S4306400639","display_name":"RiuNet (Universitat Polit\u00e8cnica de Val\u00e8ncia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60053951","host_organization_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","host_organization_lineage":["https://openalex.org/I60053951"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W280003846","https://openalex.org/W1494198834","https://openalex.org/W1631260214","https://openalex.org/W1979625042","https://openalex.org/W1994536225","https://openalex.org/W2064675550","https://openalex.org/W2066378046","https://openalex.org/W2138889249","https://openalex.org/W2140539590","https://openalex.org/W2158069733","https://openalex.org/W2394835536","https://openalex.org/W2401969231","https://openalex.org/W2404974730","https://openalex.org/W2407031592","https://openalex.org/W2471933213","https://openalex.org/W2763120645","https://openalex.org/W2802201485","https://openalex.org/W2890817076","https://openalex.org/W2963451498","https://openalex.org/W3101648800"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Recurrent":[0],"Neural":[1],"Networks,":[2],"in":[3,12],"particular":[4],"Long-Short":[5],"TermMemory":[6],"(LSTM)":[7],"networks,":[8],"are":[9],"widely":[10],"used":[11],"Automatic":[13],"Speech":[14],"Recognition":[15],"for":[16,24],"language":[17,39,73],"modelling":[18],"during":[19,69],"decoding,usually":[20],"as":[21],"a":[22,29,61,83,117],"mechanism":[23],"rescoring":[25],"hypothesis.":[26],"This":[27],"paperproposes":[28],"new":[30],"architecture":[31,91],"to":[32],"perform":[33],"real-time":[34],"one-pass":[35,89],"de-coding":[36],"using":[37],"LSTM":[38,72],"models.":[40],"To":[41],"make":[42],"decoding":[43],"ef-ficient,":[44],"the":[45,66,94,102],"estimation":[46],"of":[47,85],"look-ahead":[48,54],"scores":[49],"was":[50,76],"accelerated":[51],"byprecomputing":[52],"static":[53,57],"tables.":[55],"These":[56],"tables":[58],"wereprecomputed":[59],"from":[60],"prunedn-gram":[62],"model,":[63],"reducing":[64],"drasti-cally":[65],"computational":[67],"cost":[68],"decoding.":[70],"Additionally,the":[71],"model":[74],"evaluation":[75],"efficiently":[77],"performedusing":[78],"Variance":[79],"Regularization":[80],"along":[81],"with":[82,108,116],"strategy":[84],"lazyevaluation.":[86],"The":[87],"proposed":[88,103],"decoder":[90],"wasevaluated":[92],"on":[93],"well-known":[95],"LibriSpeech":[96],"and":[97],"TED-LIUMv3datasets.":[98],"Results":[99],"showed":[100],"that":[101],"algorithm":[104],"obtainsvery":[105],"competitive":[106],"WERs":[107],"0.6":[109],"RTFs.":[110],"Finally,":[111],"our":[112],"one-passdecoder":[113],"is":[114],"compared":[115],"decoupled":[118],"two-pass":[119],"decoder.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":7}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}