{"id":"https://openalex.org/W161351155","doi":"https://doi.org/10.21437/eurospeech.1999-181","title":"Robust information extraction from spoken language data","display_name":"Robust information extraction from spoken language data","publication_year":1999,"publication_date":"1999-09-05","ids":{"openalex":"https://openalex.org/W161351155","doi":"https://doi.org/10.21437/eurospeech.1999-181","mag":"161351155"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.1999-181","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.1999-181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th European Conference on Speech Communication and Technology","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/A5020891117","display_name":"David D. Palmery","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"David D. Palmery","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087215613","display_name":"Mari Ostendorf","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mari Ostendorf","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5059326652","display_name":"John D. Burgerz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John D. Burgerz","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020891117"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8067,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.72492515,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1035","last_page":"1038"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10403","display_name":"Phonetics and Phonology Research","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10403","display_name":"Phonetics and Phonology Research","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9987999796867371,"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":0.9977999925613403,"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/coarticulation","display_name":"Coarticulation","score":0.985421359539032},{"id":"https://openalex.org/keywords/tone","display_name":"Tone (literature)","score":0.7876355648040771},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6817675232887268},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6560479998588562},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6240631341934204},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.45521989464759827},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.43249428272247314},{"id":"https://openalex.org/keywords/anticipation","display_name":"Anticipation (artificial intelligence)","score":0.4289889633655548},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4160228371620178},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3245888650417328},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07554015517234802},{"id":"https://openalex.org/keywords/vowel","display_name":"Vowel","score":0.06743049621582031}],"concepts":[{"id":"https://openalex.org/C130727458","wikidata":"https://www.wikidata.org/wiki/Q1639109","display_name":"Coarticulation","level":3,"score":0.985421359539032},{"id":"https://openalex.org/C2780583480","wikidata":"https://www.wikidata.org/wiki/Q1366327","display_name":"Tone (literature)","level":2,"score":0.7876355648040771},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6817675232887268},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6560479998588562},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6240631341934204},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.45521989464759827},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.43249428272247314},{"id":"https://openalex.org/C176777502","wikidata":"https://www.wikidata.org/wiki/Q4774623","display_name":"Anticipation (artificial intelligence)","level":2,"score":0.4289889633655548},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4160228371620178},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3245888650417328},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07554015517234802},{"id":"https://openalex.org/C2779581591","wikidata":"https://www.wikidata.org/wiki/Q36244","display_name":"Vowel","level":2,"score":0.06743049621582031},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/eurospeech.1999-181","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.1999-181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th European Conference on Speech Communication and Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W16781511","https://openalex.org/W173492274","https://openalex.org/W1560013842","https://openalex.org/W2038784064","https://openalex.org/W2080622004","https://openalex.org/W2102850524","https://openalex.org/W2382064167","https://openalex.org/W2990278625"],"related_works":["https://openalex.org/W2990278625","https://openalex.org/W1993499045","https://openalex.org/W1604595447","https://openalex.org/W4200613756","https://openalex.org/W2983489261","https://openalex.org/W2988239832","https://openalex.org/W2075885261","https://openalex.org/W2174601236","https://openalex.org/W3036714870","https://openalex.org/W2172236910"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"our":[3],"new":[4,109,122,144],"approach":[5],"to":[6,47,70,100,103,119],"model":[7],"tone":[8,15,64,96,105,126],"coarticulation":[9,20,74,81,106,127],"of":[10,38,95,125,135,142],"Chinese":[11],"continuous":[12],"speech":[13],"for":[14,80,112],"recognition.":[16],"We":[17],"suggest":[18],"that":[19,61],"effects":[21],"between":[22],"two":[23],"neighboring":[24],"tones":[25],"are":[26,90,98],"rather":[27],"unstable,":[28],"since":[29],"they":[30],"may":[31],"be":[32,67],"uni-directional,":[33],"bi-directional,":[34],"or":[35,55],"none":[36],"despite":[37],"the":[39,71,113,121,140,143],"same":[40],"phonetic":[41],"contexts.":[42],"Instability":[43],"is":[44],"suggested":[45],"due":[46],"non-local":[48],"prosodic":[49,52],"events":[50],"like":[51],"phrase":[53],"boundaries":[54],"stress":[56],"effects.":[57,75,107,128],"Hence,":[58],"we":[59],"propose":[60],"context":[62],"dependent":[63],"models":[65],"should":[66],"estimated":[68],"according":[69],"exact":[72],"underlying":[73],"To":[76],"simplify":[77],"label":[78,83],"work":[79],"effects,":[82],"sets":[84],"as":[85,87],"few":[86],"3":[88],"labels":[89],"adopted.":[91],"Also":[92],"F0":[93],"contours":[94],"nuclei":[97],"used":[99],"facilitate":[101],"human":[102],"discriminate":[104],"A":[108],"search":[110],"algorithm":[111],"output":[114],"candidates":[115],"was":[116],"also":[117],"proposed":[118],"adopt":[120],"modeling":[123],"method":[124],"Preliminary":[129],"experiments":[130],"on":[131],"a":[132],"female\u2019s":[133],"utterances":[134],"data":[136],"corpus":[137],"HKU96":[138],"showed":[139],"effectiveness":[141],"approach.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
