{"id":"https://openalex.org/W2802201485","doi":"https://doi.org/10.1109/icassp.2018.8461974","title":"A Pruned Rnnlm Lattice-Rescoring Algorithm for Automatic Speech Recognition","display_name":"A Pruned Rnnlm Lattice-Rescoring Algorithm for Automatic Speech Recognition","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2802201485","doi":"https://doi.org/10.1109/icassp.2018.8461974","mag":"2802201485"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8461974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5034399968","display_name":"Hainan Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hainan Xu","raw_affiliation_strings":["Center for Language and Speech Processing, Johns Hopkins University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Language and Speech Processing, Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069576206","display_name":"Tongfei Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tongfei Chen","raw_affiliation_strings":["Center for Language and Speech Processing, Johns Hopkins University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Language and Speech Processing, Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072814956","display_name":"Dongji Gao","orcid":"https://orcid.org/0009-0006-8885-3084"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dongji Gao","raw_affiliation_strings":["Center for Language and Speech Processing, Johns Hopkins University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Language and Speech Processing, Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377935","display_name":"Yiming Wang","orcid":"https://orcid.org/0000-0002-5932-4371"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiming Wang","raw_affiliation_strings":["Center for Language and Speech Processing, Johns Hopkins University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Language and Speech Processing, Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100343555","display_name":"Ke Li","orcid":"https://orcid.org/0009-0006-9192-0487"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ke Li","raw_affiliation_strings":["Center for Language and Speech Processing, Johns Hopkins University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Language and Speech Processing, Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048489894","display_name":"Nagendra Kumar Goel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nagendra Goel","raw_affiliation_strings":["Go- Vivace Inc., USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Go- Vivace Inc., USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060644900","display_name":"Yishay Carmiel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yishay Carmiel","raw_affiliation_strings":["IntelligentWire, Seattle, WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IntelligentWire, Seattle, WA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084286453","display_name":"Daniel Povey","orcid":"https://orcid.org/0000-0002-0611-3634"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Povey","raw_affiliation_strings":["Center for Language and Speech Processing, Johns Hopkins University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Language and Speech Processing, Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014580424","display_name":"Sanjeev Khudanpur","orcid":"https://orcid.org/0000-0001-5976-0897"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanjeev Khudanpur","raw_affiliation_strings":["Center for Language and Speech Processing, Johns Hopkins University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Language and Speech Processing, Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.4886,"has_fulltext":false,"cited_by_count":100,"citation_normalized_percentile":{"value":0.98073256,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"5929","last_page":"5933"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9994000196456909,"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":0.9972000122070312,"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/computer-science","display_name":"Computer science","score":0.745012104511261},{"id":"https://openalex.org/keywords/lattice","display_name":"Lattice (music)","score":0.6907302141189575},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6811978816986084},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6492748260498047},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5416768789291382},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39840301871299744},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3624749779701233},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.15412044525146484},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07561981678009033}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.745012104511261},{"id":"https://openalex.org/C2781204021","wikidata":"https://www.wikidata.org/wiki/Q6497091","display_name":"Lattice (music)","level":2,"score":0.6907302141189575},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6811978816986084},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6492748260498047},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5416768789291382},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39840301871299744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3624749779701233},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.15412044525146484},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07561981678009033},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2018.8461974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7400000095367432,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W7198584","https://openalex.org/W181370797","https://openalex.org/W1524333225","https://openalex.org/W1582482241","https://openalex.org/W1895481600","https://openalex.org/W2046932483","https://openalex.org/W2111305191","https://openalex.org/W2345190899","https://openalex.org/W2400997536","https://openalex.org/W2402146185","https://openalex.org/W2404974730","https://openalex.org/W2474824677","https://openalex.org/W2514741789","https://openalex.org/W2696967604","https://openalex.org/W2749475572","https://openalex.org/W2775767017","https://openalex.org/W2802422770","https://openalex.org/W2963451498","https://openalex.org/W6600294778","https://openalex.org/W6631362777","https://openalex.org/W6712930963","https://openalex.org/W6713346354","https://openalex.org/W6713561562","https://openalex.org/W6720877245","https://openalex.org/W6747418505"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2013643406","https://openalex.org/W2027972911","https://openalex.org/W2157978810","https://openalex.org/W2597809628","https://openalex.org/W3046370962"],"abstract_inverted_index":{"Lattice-rescoring":[0],"is":[1,18,26,37],"a":[2,16,30,50,103],"common":[3],"approach":[4],"to":[5,40,73],"take":[6],"advantage":[7],"of":[8],"recurrent":[9],"neural":[10,31],"language":[11],"models":[12],"in":[13],"ASR,":[14,55],"where":[15],"word-lattice":[17],"generated":[19],"from":[20],"1st-pass":[21],"decoding":[22],"and":[23,33,69],"the":[24,42,57,66,79,84,96,117],"lattice":[25],"then":[27],"rescored":[28],"with":[29,108],"model,":[32],"ann-gram":[34],"approximation":[35,59,110],"method":[36],"usually":[38],"adopted":[39],"limit":[41],"search":[43,67,72],"space.":[44],"In":[45,99],"this":[46],"work,":[47],"we":[48],"describe":[49],"pruned":[51,62],"lattice-rescoring":[52,107],"algorithm":[53,63,86],"for":[54,106],"improving":[56],"n-gram":[58],"method.":[60],"The":[61],"further":[64],"limits":[65],"space":[68],"uses":[70],"heuristic":[71],"pick":[74],"better":[75,88,113],"histories":[76],"when":[77],"expanding":[78],"lattice.":[80],"Experiments":[81],"show":[82],"that":[83],"proposed":[85],"achieves":[87],"ASR":[89],"accuracies":[90,115],"while":[91,111],"running":[92],"much":[93],"faster":[94],"than":[95,116],"standard":[97,118],"algorithm.":[98,119],"particular,":[100],"it":[101],"brings":[102],"4x":[104],"speedup":[105],"4-gram":[109],"giving":[112],"recognition":[114]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":25},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":21},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
