{"id":"https://openalex.org/W329551343","doi":"https://doi.org/10.21437/icslp.2000-801","title":"Reducing time-synchronous beam search effort using stage based look-ahead and language model rank based pruning","display_name":"Reducing time-synchronous beam search effort using stage based look-ahead and language model rank based pruning","publication_year":2000,"publication_date":"2000-10-16","ids":{"openalex":"https://openalex.org/W329551343","doi":"https://doi.org/10.21437/icslp.2000-801","mag":"329551343"},"language":"en","primary_location":{"id":"doi:10.21437/icslp.2000-801","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.2000-801","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":"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/A5101499868","display_name":"Jian Wu","orcid":"https://orcid.org/0000-0001-6094-9056"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Wu","raw_affiliation_strings":["Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041679034","display_name":"Fang Zheng","orcid":"https://orcid.org/0000-0002-7858-4080"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fang Zheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.531,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74376748,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"vol. 4, 262","last_page":"265"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9769999980926514,"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/T10403","display_name":"Phonetics and Phonology Research","score":0.9625999927520752,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dictation","display_name":"Dictation","score":0.8273991346359253},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.767808735370636},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.7183164358139038},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.7002808451652527},{"id":"https://openalex.org/keywords/mandarin-chinese","display_name":"Mandarin Chinese","score":0.6547397375106812},{"id":"https://openalex.org/keywords/beam-search","display_name":"Beam search","score":0.6256152391433716},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.6160871386528015},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.6059595942497253},{"id":"https://openalex.org/keywords/look-ahead","display_name":"Look-ahead","score":0.5838977098464966},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5760180354118347},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5746861696243286},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5726686120033264},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5703460574150085},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4826110303401947},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4524470865726471},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3366811275482178},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.3181859254837036},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17976441979408264},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11863633990287781},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07524862885475159}],"concepts":[{"id":"https://openalex.org/C2779077324","wikidata":"https://www.wikidata.org/wiki/Q1087138","display_name":"Dictation","level":2,"score":0.8273991346359253},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.767808735370636},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7183164358139038},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.7002808451652527},{"id":"https://openalex.org/C138954614","wikidata":"https://www.wikidata.org/wiki/Q9192","display_name":"Mandarin Chinese","level":2,"score":0.6547397375106812},{"id":"https://openalex.org/C19889080","wikidata":"https://www.wikidata.org/wiki/Q2835852","display_name":"Beam search","level":3,"score":0.6256152391433716},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.6160871386528015},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.6059595942497253},{"id":"https://openalex.org/C147297375","wikidata":"https://www.wikidata.org/wiki/Q6674930","display_name":"Look-ahead","level":2,"score":0.5838977098464966},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5760180354118347},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5746861696243286},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5726686120033264},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5703460574150085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4826110303401947},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4524470865726471},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3366811275482178},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.3181859254837036},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17976441979408264},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11863633990287781},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07524862885475159},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/icslp.2000-801","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.2000-801","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:10.1.1.560.9000","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.560.9000","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cslt.riit.tsinghua.edu.cn/~fzheng/PAPERS/2000/0010E_ICSLP_REDUCING_WJ(ZF).pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7099999785423279,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W156719932","https://openalex.org/W1878610756","https://openalex.org/W1977434607","https://openalex.org/W2071511957"],"related_works":["https://openalex.org/W4386269615","https://openalex.org/W4390091683","https://openalex.org/W1994919150","https://openalex.org/W58921990","https://openalex.org/W2204575588","https://openalex.org/W2081821176","https://openalex.org/W3106196307","https://openalex.org/W3084994579","https://openalex.org/W2998661990","https://openalex.org/W3115021520"],"abstract_inverted_index":{"In":[0,34],"this":[1,35],"paper,":[2],"we":[3],"present":[4],"an":[5],"efficient":[6],"look-ahead":[7,39,129,150],"technique":[8],"based":[9,38,85],"on":[10,102],"both":[11],"the":[12,18,24,29,56,61,70,74,77,82,91,103,117,123,138,145],"Language":[13],"Model":[14,20],"(LM)":[15],"Look-Ahead":[16],"and":[17,131],"Acoustic":[19],"(AM)":[21],"Look-Ahead,":[22],"for":[23,59,72],"time-synchronous":[25],"beam":[26],"search":[27,118,126,146],"in":[28,66,116,120,137,142],"large":[30],"vocabulary":[31],"speech":[32],"recognition.":[33],"so-call":[36],"stage":[37],"(SLA)":[40],"technique,":[41],"two":[42],"predicting":[43],"processes":[44],"with":[45,90,122,144],"different":[46,57],"hypothesis":[47],"evaluating":[48],"criteria":[49],"are":[50],"organized":[51],"by":[52,113],"stages":[53],"according":[54],"to":[55,68],"requirements":[58],"pruning":[60],"unlikely":[62],"surviving":[63],"hypotheses.":[64],"Furthermore,":[65],"order":[67],"reduce":[69],"efforts":[71],"distributing":[73],"LM":[75,83,128],"over":[76],"lexical":[78],"tree":[79],"more":[80],"effectively,":[81],"Rank":[84],"Pruning":[86],"(LMRP)":[87],"is":[88],"integrated":[89],"extension":[92],"of":[93,134],"each":[94],"new":[95],"phoneme":[96],"node.":[97],"The":[98],"recognition":[99],"experiments":[100],"performed":[101],"50k-word":[104],"Mandarin":[105],"Dictation":[106],"task":[107],"(Easytalk2000)":[108],"show":[109],"that":[110],"a":[111,132],"reduction":[112,133],"10":[114],"percents":[115,136],"effort":[119],"comparison":[121,143],"standard":[124],"word-conditioned":[125],"using":[127],"only,":[130],"25":[135],"word":[139],"error":[140],"rates":[141],"algorithm":[147],"without":[148],"any":[149],"can":[151],"be":[152],"achieved.":[153],"1.":[154]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}