{"id":"https://openalex.org/W313527642","doi":"https://doi.org/10.21437/icslp.2000-819","title":"Recent improvements in speech recognition performance on large vocabulary conversational speech (voicemail and switchboard)","display_name":"Recent improvements in speech recognition performance on large vocabulary conversational speech (voicemail and switchboard)","publication_year":2000,"publication_date":"2000-10-16","ids":{"openalex":"https://openalex.org/W313527642","doi":"https://doi.org/10.21437/icslp.2000-819","mag":"313527642"},"language":"en","primary_location":{"id":"doi:10.21437/icslp.2000-819","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.2000-819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th International Conference on Spoken Language Processing (ICSLP 2000)","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/A5018240777","display_name":"Jing Huang","orcid":"https://orcid.org/0000-0002-1370-7318"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jing Huang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003725957","display_name":"Brian Kingsbury","orcid":"https://orcid.org/0000-0002-1343-6837"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"B. Kingsbury","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019973376","display_name":"Lidia Mangu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"L. Mangu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109890066","display_name":"M. Padmanabhan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mukund Padmanabhan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079994647","display_name":"George Saon","orcid":"https://orcid.org/0009-0004-6837-5009"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"George Saon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5069954850","display_name":"Geoffrey Zweig","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Geoffrey Zweig","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":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"vol. 4, 338","last_page":"341"},"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/T12031","display_name":"Speech and dialogue systems","score":0.9991999864578247,"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":0.9965000152587891,"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":0.8179627656936646},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7370343208312988},{"id":"https://openalex.org/keywords/transcription","display_name":"Transcription (linguistics)","score":0.6511391401290894},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.6468616127967834},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.6022228598594666},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6006491780281067},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.5942760705947876},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4352931082248688},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4268714487552643},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4160425066947937},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08126187324523926},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06576979160308838}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8179627656936646},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7370343208312988},{"id":"https://openalex.org/C179926584","wikidata":"https://www.wikidata.org/wiki/Q207714","display_name":"Transcription (linguistics)","level":2,"score":0.6511391401290894},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.6468616127967834},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.6022228598594666},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6006491780281067},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.5942760705947876},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4352931082248688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4268714487552643},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4160425066947937},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08126187324523926},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06576979160308838},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.21437/icslp.2000-819","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.2000-819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th International Conference on Spoken Language Processing (ICSLP 2000)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.26.7771","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.26.7771","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.research.ibm.com/voicemail/postscript/icslp00b.ps","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.27.430","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.27.430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.research.ibm.com/people/m/mukund/pdf/icslp00b.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6800000071525574,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W31328495","https://openalex.org/W1486915487","https://openalex.org/W1571931074","https://openalex.org/W1904457459","https://openalex.org/W1975846642","https://openalex.org/W1992272902","https://openalex.org/W2104448323","https://openalex.org/W2112076978","https://openalex.org/W2124629003","https://openalex.org/W3017143921"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W4386907265","https://openalex.org/W2058752985","https://openalex.org/W2293740626","https://openalex.org/W2763412546","https://openalex.org/W1499712254","https://openalex.org/W2915347927","https://openalex.org/W2146197305"],"abstract_inverted_index":{"In":[0,66,115],"this":[1,49,116],"paper":[2,117],"we":[3,42,79,89,97,118],"report":[4,43,90,119],"recent":[5,120],"improvements":[6,52,121,137],"in":[7,122,146],"word":[8,21],"error":[9,22],"performance":[10,71],"on":[11,25,75,84],"a":[12,44,139],"voicemail":[13],"transcription":[14,134],"task.":[15],"Last":[16],"year,":[17,41],"the":[18,26,31,70,76,85,100,107,110,130,147],"speaker":[19],"independent":[20],"rate":[23],"(WER)":[24],"dev":[27],"test":[28],"set":[29],"of":[30,63,72,102,109,141,149],"Voicemail":[32,77,131],"Transcription":[33],"task":[34],"was":[35],"reported":[36],"at":[37],"35.45%":[38],"[1].":[39],"This":[40],"relative":[45],"20%":[46],"gain":[47],"over":[48],"number.":[50],"The":[51],"were":[53],"obtained":[54],"using":[55],"several":[56],"new":[57,143],"algorithms":[58,74,144],"and":[59,88,132],"an":[60,154],"increased":[61],"amount":[62],"training":[64],"data.":[65],"addition":[67],"to":[68,105,153],"benchmarking":[69],"these":[73,91],"task,":[78,87],"have":[80],"also":[81,98,151],"evaluated":[82],"them":[83],"Switchboard":[86,133],"results":[92],"here":[93],"as":[94,127],"well.":[95],"Finally,":[96],"present":[99],"result":[101,140],"crossdomain":[103],"experiments":[104],"evaluate":[106],"domain-independence":[108],"constructed":[111],"systems.":[112],"1.":[113],"INTRODUCTION":[114],"transcribing":[123],"conversational":[124],"telephone":[125],"speech,":[126],"typified":[128],"by":[129],"tasks.":[135],"These":[136],"are":[138],"some":[142],"and,":[145],"case":[148],"Voicemail,":[150],"due":[152],"increa...":[155]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
