{"id":"https://openalex.org/W2888226713","doi":"https://doi.org/10.21437/interspeech.2007-481","title":"Context dependent syllable acoustic model for continuous Chinese speech recognition","display_name":"Context dependent syllable acoustic model for continuous Chinese speech recognition","publication_year":2007,"publication_date":"2007-08-27","ids":{"openalex":"https://openalex.org/W2888226713","doi":"https://doi.org/10.21437/interspeech.2007-481","mag":"2888226713"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2007-481","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2007-481","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2007","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/A5089208699","display_name":"Hao Wu","orcid":"https://orcid.org/0000-0002-9799-9855"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Wu","raw_affiliation_strings":["Peking University"],"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084685506","display_name":"Xihong Wu","orcid":"https://orcid.org/0009-0004-5236-7469"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xihong Wu","raw_affiliation_strings":["Peking University"],"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089208699"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":1.877,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.88884654,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1713","last_page":"1716"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.992900013923645,"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":0.992900013923645,"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":0.9610000252723694,"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/T11309","display_name":"Music and Audio Processing","score":0.9359999895095825,"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/speech-recognition","display_name":"Speech recognition","score":0.801776111125946},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7750023603439331},{"id":"https://openalex.org/keywords/syllable","display_name":"Syllable","score":0.7567355632781982},{"id":"https://openalex.org/keywords/mandarin-chinese","display_name":"Mandarin Chinese","score":0.6685045957565308},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6324195861816406},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6042518615722656},{"id":"https://openalex.org/keywords/acoustic-model","display_name":"Acoustic model","score":0.6040356159210205},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.5526325702667236},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.506794273853302},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.40080204606056213},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3434327244758606},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08274835348129272},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.06257927417755127}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.801776111125946},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7750023603439331},{"id":"https://openalex.org/C109089402","wikidata":"https://www.wikidata.org/wiki/Q8188","display_name":"Syllable","level":2,"score":0.7567355632781982},{"id":"https://openalex.org/C138954614","wikidata":"https://www.wikidata.org/wiki/Q9192","display_name":"Mandarin Chinese","level":2,"score":0.6685045957565308},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6324195861816406},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6042518615722656},{"id":"https://openalex.org/C155635449","wikidata":"https://www.wikidata.org/wiki/Q4674699","display_name":"Acoustic model","level":3,"score":0.6040356159210205},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.5526325702667236},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.506794273853302},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.40080204606056213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3434327244758606},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08274835348129272},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.06257927417755127},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/interspeech.2007-481","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2007-481","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2007","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W88864901","https://openalex.org/W93148613","https://openalex.org/W1893226766"],"related_works":["https://openalex.org/W2222951281","https://openalex.org/W2272290179","https://openalex.org/W156219719","https://openalex.org/W2068412075","https://openalex.org/W2992378684","https://openalex.org/W2964829415","https://openalex.org/W642007152","https://openalex.org/W2122233706","https://openalex.org/W2105439218","https://openalex.org/W1992225910"],"abstract_inverted_index":{"The":[0,122],"choice":[1],"of":[2,40,100,142],"basic":[3],"modeling":[4,32,44,81],"unit":[5,112],"in":[6,43,52,73,119,138],"building":[7],"acoustic":[8,31,89,127],"model":[9,69,90,101,113,128],"for":[10],"a":[11,18,55],"continuous":[12,145],"Mandarin":[13],"speech":[14,146],"recognition":[15],"task":[16],"is":[17,60,136],"very":[19],"important":[20],"issue":[21],"[1].":[22],"Unlike":[23],"traditional":[24],"phoneme":[25],"or":[26],"Initial/Finals":[27],"(IFs)":[28],"units":[29],"based":[30,58,88,114,129,134],"methods,":[33,86],"which":[34],"usually":[35],"suffer":[36],"from":[37],"the":[38,70,98,106,126,131,140,143],"limitations":[39],"less":[41],"accuracy":[42],"intrasyllable":[45,71],"variations":[46,72,95],"and":[47,83],"long":[48],"scale":[49],"temporal":[50,94],"dependencies,":[51],"this":[53,120],"paper,":[54],"practicable":[56],"syllable":[57,66,87,133],"approach":[59,135],"presented.":[61],"In":[62],"contrast":[63],"with":[64],"IFs,":[65],"can":[67,91],"implicitly":[68],"good":[74],"accuracy.":[75],"Also,":[76],"by":[77],"carefully":[78],"choosing":[79],"context":[80],"schemes":[82],"parameter":[84],"tying":[85],"capture":[92],"longer":[93],"while":[96],"keeping":[97],"complexity":[99],"well":[102],"controlled.":[103],"Meanwhile,":[104],"considering":[105],"data":[107],"unbalanced":[108],"problem,":[109],"multiple":[110],"sized":[111],"approaches":[115],"are":[116],"also":[117],"implemented":[118],"research.":[121],"experiment":[123],"result":[124],"shows":[125],"on":[130],"presented":[132],"effective":[137],"improving":[139],"performance":[141],"Chinese":[144],"recognition.":[147]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}