{"id":"https://openalex.org/W1525540417","doi":"https://doi.org/10.21437/eurospeech.1997-207","title":"Methods for optimal text selection","display_name":"Methods for optimal text selection","publication_year":1997,"publication_date":"1997-09-22","ids":{"openalex":"https://openalex.org/W1525540417","doi":"https://doi.org/10.21437/eurospeech.1997-207","mag":"1525540417"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.1997-207","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.1997-207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"5th European Conference on Speech Communication and Technology (Eurospeech 1997)","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/A5041808115","display_name":"Jan P. H. van Santen","orcid":"https://orcid.org/0000-0003-3245-5301"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jan P. H. van Santen","raw_affiliation_strings":["Lucent Technologies -Bell Labs, 600 Mountain Ave., Murray Hill, NJ 07974, U.S.A.,"],"affiliations":[{"raw_affiliation_string":"Lucent Technologies -Bell Labs, 600 Mountain Ave., Murray Hill, NJ 07974, U.S.A.,","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111424583","display_name":"Adam L. Buchsbaum","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098935","display_name":"Li Creative Technologies (United States)","ror":"https://ror.org/010hpfk35","country_code":"US","type":"company","lineage":["https://openalex.org/I4210098935"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adam L. Buchsbaum","raw_affiliation_strings":["AT&T Labs, 180 Park Ave., P.O. Box 971, Florham Park, NJ 07932-0971, U.S"],"affiliations":[{"raw_affiliation_string":"AT&T Labs, 180 Park Ave., P.O. Box 971, Florham Park, NJ 07932-0971, U.S","institution_ids":["https://openalex.org/I4210098935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5041808115"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.8306,"has_fulltext":false,"cited_by_count":98,"citation_normalized_percentile":{"value":0.94759602,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"553","last_page":"556"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9983999729156494,"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":0.9968000054359436,"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/selection","display_name":"Selection (genetic algorithm)","score":0.8260157108306885},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8188502788543701},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.7721105813980103},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.5573093891143799},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5534866452217102},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5380975604057312},{"id":"https://openalex.org/keywords/speech-synthesis","display_name":"Speech synthesis","score":0.49948549270629883},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4948977828025818},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.4859577417373657},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4617697298526764},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11098209023475647},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07995602488517761}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.8260157108306885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8188502788543701},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.7721105813980103},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.5573093891143799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5534866452217102},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5380975604057312},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.49948549270629883},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4948977828025818},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.4859577417373657},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4617697298526764},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11098209023475647},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07995602488517761},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/eurospeech.1997-207","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.1997-207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"5th European Conference on Speech Communication and Technology (Eurospeech 1997)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.54.3581","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.54.3581","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.research.att.com/~alb/biblio/eurogreedy.ps.Z","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W35969542","https://openalex.org/W1539023901","https://openalex.org/W2070800099","https://openalex.org/W2073479209","https://openalex.org/W2075661170","https://openalex.org/W2130490380","https://openalex.org/W2398996849","https://openalex.org/W2403035479","https://openalex.org/W2752885492","https://openalex.org/W4300633630"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W127416991"],"abstract_inverted_index":{"Construction":[0],"of":[1,14,23,36,48,55,57,69,106],"both":[2],"text-to-speech":[3],"synthesis":[4],"(TTS)":[5,83],"and":[6,62,79,134],"automatic":[7,74],"speech":[8,15,75,82],"recognition":[9,76],"(ASR)":[10,77],"systems":[11,78,84],"involves":[12],"usage":[13],"data":[16,19,38],"bases.":[17],"These":[18],"bases":[20],"usually":[21],"consist":[22],"read":[24,92],"text,":[25],"which":[26],"means":[27],"that":[28,87],"one":[29,44],"has":[30],"significant":[31],"control":[32],"over":[33],"the":[34,37,107,125,141],"content":[35],"base.":[39],"Here":[40],"we":[41],"address":[42],"how":[43],"can":[45],"take":[46],"advantage":[47],"this":[49],"control,":[50],"by":[51],"discussing":[52],"a":[53,67,122],"number":[54],"variants":[56],""greedy"":[58],"text":[59,80,97],"selection":[60],"methods":[61],"showing":[63],"their":[64],"application":[65],"in":[66,136,150,152],"variety":[68],"examples.":[70],"1.":[71],"INTRODUCTION":[72],"Both":[73],"to":[81,104,119],"have":[85],"components":[86],"are":[88],"trained":[89],"on":[90],"text---typically":[91],"text.":[93,109],"Surprisingly":[94],"often,":[95],"training":[96,128],"is":[98,143],"selected":[99,108],"without":[100],"giving":[101],"much":[102],"thought":[103],"optimality":[105],"For":[110],"limited":[111],"domain":[112,126,142,154],"situations,":[113],"it":[114],"may":[115],"very":[116],"well":[117],"suffice":[118],"select":[120],"randomly":[121],"subset":[123],"from":[124],"for":[127],"purposes.":[129],"In":[130],"many":[131],"ASR":[132],"applications,":[133,139],"certainly":[135],"most":[137],"TTS":[138],"however,":[140],"open.":[144],"And,":[145],"as":[146],"discussed":[147],"at":[148],"length":[149],"[7],":[151],"open":[153],"situation...":[155]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}