{"id":"https://openalex.org/W1588250324","doi":"https://doi.org/10.1109/chinsl.2004.1409592","title":"Automatic detection of Chinese accent-index based on approximation-ratio","display_name":"Automatic detection of Chinese accent-index based on approximation-ratio","publication_year":2005,"publication_date":"2005-04-06","ids":{"openalex":"https://openalex.org/W1588250324","doi":"https://doi.org/10.1109/chinsl.2004.1409592","mag":"1588250324"},"language":"en","primary_location":{"id":"doi:10.1109/chinsl.2004.1409592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/chinsl.2004.1409592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SympoTIC '04. Joint 1st Workshop on Mobile Future &amp; Symposium on Trends In Communications (IEEE Cat. No.04EX877)","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/A5102492475","display_name":"Weibin Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weibin Zhu","raw_affiliation_strings":["IBM China Research Laboratory, Beijing, China","IBM China Research Lab, BeiJing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM China Research Laboratory, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]},{"raw_affiliation_string":"IBM China Research Lab, BeiJing, China","institution_ids":["https://openalex.org/I4210126794"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100756628","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0001-5556-3896"},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["IBM China Research Laboratory, Beijing, China","IBM China Research Lab, BeiJing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM China Research Laboratory, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]},{"raw_affiliation_string":"IBM China Research Lab, BeiJing, China","institution_ids":["https://openalex.org/I4210126794"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100736302","display_name":"Qin Shi","orcid":"https://orcid.org/0000-0002-9608-0345"},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Shi","raw_affiliation_strings":["IBM China Research Laboratory, Beijing, China","IBM China Research Lab, BeiJing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM China Research Laboratory, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]},{"raw_affiliation_string":"IBM China Research Lab, BeiJing, China","institution_ids":["https://openalex.org/I4210126794"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007142915","display_name":"MA Xi-jun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xijun Ma","raw_affiliation_strings":["IBM China Research Laboratory, Beijing, China","IBM China Research Lab, BeiJing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM China Research Laboratory, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]},{"raw_affiliation_string":"IBM China Research Lab, BeiJing, China","institution_ids":["https://openalex.org/I4210126794"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064116114","display_name":"Liqin Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqin Shen","raw_affiliation_strings":["IBM China Research Laboratory, Beijing, China","IBM China Research Lab, BeiJing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM China Research Laboratory, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]},{"raw_affiliation_string":"IBM China Research Lab, BeiJing, China","institution_ids":["https://openalex.org/I4210126794"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4594,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.73083222,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"85","last_page":"88"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.7889000177383423,"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":0.7889000177383423,"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/T10403","display_name":"Phonetics and Phonology Research","score":0.7337999939918518,"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/T14276","display_name":"Power Systems and Technologies","score":0.7002000212669373,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.8962475657463074},{"id":"https://openalex.org/keywords/prosody","display_name":"Prosody","score":0.8815085887908936},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6779943108558655},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6726255416870117},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6158270239830017},{"id":"https://openalex.org/keywords/speech-synthesis","display_name":"Speech synthesis","score":0.5832265615463257},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5719137191772461},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5348419547080994},{"id":"https://openalex.org/keywords/pitch-accent","display_name":"Pitch accent","score":0.457236111164093},{"id":"https://openalex.org/keywords/approximation-error","display_name":"Approximation error","score":0.44396013021469116},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.42468249797821045},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13409578800201416},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08004775643348694}],"concepts":[{"id":"https://openalex.org/C2776756274","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.8962475657463074},{"id":"https://openalex.org/C542774811","wikidata":"https://www.wikidata.org/wiki/Q10880526","display_name":"Prosody","level":2,"score":0.8815085887908936},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6779943108558655},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6726255416870117},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6158270239830017},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.5832265615463257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5719137191772461},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5348419547080994},{"id":"https://openalex.org/C2777672088","wikidata":"https://www.wikidata.org/wiki/Q1441804","display_name":"Pitch accent","level":3,"score":0.457236111164093},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.44396013021469116},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.42468249797821045},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13409578800201416},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08004775643348694},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/chinsl.2004.1409592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/chinsl.2004.1409592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SympoTIC '04. Joint 1st Workshop on Mobile Future &amp; Symposium on Trends In Communications (IEEE Cat. No.04EX877)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1506478094","https://openalex.org/W2137851479","https://openalex.org/W2543721542","https://openalex.org/W6728663693"],"related_works":["https://openalex.org/W2088008556","https://openalex.org/W4360877803","https://openalex.org/W2507083698","https://openalex.org/W2465473908","https://openalex.org/W49590631","https://openalex.org/W4298046075","https://openalex.org/W2370788932","https://openalex.org/W2334135487","https://openalex.org/W2474947928","https://openalex.org/W1489682032"],"abstract_inverted_index":{"For":[0],"a":[1,20,37,51,63,90,124],"TTS":[2],"system,":[3],"to":[4,14,26,40,57,112],"synthesize":[5],"speech":[6,44,116],"with":[7,45,81,87],"better":[8],"prosody,":[9],"accent":[10,23,31,61,130],"information":[11],"is":[12],"expected":[13],"be":[15],"involved.":[16],"Therefore,":[17],"we":[18],"defined":[19],"set":[21],"of":[22,30,62,69,74,114],"indexes":[24],"(AI)":[25],"represent":[27],"the":[28,46,49,60,67,72,75,84,88,107,118,129,134],"variances":[29],"in":[32],"Chinese":[33,43],"speech,":[34],"and":[35,139],"proposed":[36],"novel":[38],"method":[39],"automatically":[41],"annotate":[42],"AI.":[47,122],"In":[48],"method,":[50],"parameter,":[52],"named":[53],"approximation-ratio,":[54],"was":[55,71,79,96,137],"used":[56],"numerically":[58],"indicate":[59],"prosodic":[64],"unit.":[65],"And":[66,86],"value":[68],"AI":[70,82],"discretization":[73],"approximation-ratio.":[76],"One":[77],"corpus":[78],"annotated":[80],"by":[83,106,133],"method.":[85],"corpus,":[89],"refined":[91,108],"prosody":[92,103],"parameter":[93],"prediction":[94],"model":[95,109,120],"built.":[97],"The":[98],"experimental":[99],"results":[100],"showed":[101,127],"that":[102,128],"parameters":[104],"predicted":[105],"were":[110],"closer":[111],"those":[113],"real":[115],"than":[117],"former":[119],"without":[121],"Further,":[123],"perceptual":[125],"evaluation":[126],"manifestation":[131],"generated":[132],"AI-ready":[135],"synthesizer":[136],"distinguishable":[138],"acceptable.":[140]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
