{"id":"https://openalex.org/W2787174372","doi":"https://doi.org/10.1109/apsipa.2017.8282176","title":"A study on quantitative computation for prosodie strength of Mandarin speech","display_name":"A study on quantitative computation for prosodie strength of Mandarin speech","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2787174372","doi":"https://doi.org/10.1109/apsipa.2017.8282176","mag":"2787174372"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2017.8282176","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2017.8282176","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5100642364","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0001-7758-9675"},"institutions":[{"id":"https://openalex.org/I115212828","display_name":"Beijing Language and Culture University","ror":"https://ror.org/03te2zs36","country_code":"CN","type":"education","lineage":["https://openalex.org/I115212828"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["College of Information Sciences, Beijing Language and Culture University"],"affiliations":[{"raw_affiliation_string":"College of Information Sciences, Beijing Language and Culture University","institution_ids":["https://openalex.org/I115212828"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113834814","display_name":"Lixia Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I115212828","display_name":"Beijing Language and Culture University","ror":"https://ror.org/03te2zs36","country_code":"CN","type":"education","lineage":["https://openalex.org/I115212828"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixia Hao","raw_affiliation_strings":["College of Information Sciences, Beijing Language and Culture University"],"affiliations":[{"raw_affiliation_string":"College of Information Sciences, Beijing Language and Culture University","institution_ids":["https://openalex.org/I115212828"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006684220","display_name":"Yanlu Xie","orcid":"https://orcid.org/0000-0001-6765-4808"},"institutions":[{"id":"https://openalex.org/I115212828","display_name":"Beijing Language and Culture University","ror":"https://ror.org/03te2zs36","country_code":"CN","type":"education","lineage":["https://openalex.org/I115212828"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanlu Xie","raw_affiliation_strings":["College of Information Sciences, Beijing Language and Culture University"],"affiliations":[{"raw_affiliation_string":"College of Information Sciences, Beijing Language and Culture University","institution_ids":["https://openalex.org/I115212828"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052176517","display_name":"Jinsong Zhang","orcid":"https://orcid.org/0000-0002-1603-3136"},"institutions":[{"id":"https://openalex.org/I115212828","display_name":"Beijing Language and Culture University","ror":"https://ror.org/03te2zs36","country_code":"CN","type":"education","lineage":["https://openalex.org/I115212828"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinsong Zhang","raw_affiliation_strings":["College of Information Sciences, Beijing Language and Culture University"],"affiliations":[{"raw_affiliation_string":"College of Information Sciences, Beijing Language and Culture University","institution_ids":["https://openalex.org/I115212828"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100642364"],"corresponding_institution_ids":["https://openalex.org/I115212828"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24291917,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":null,"first_page":"926","last_page":"930"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10403","display_name":"Phonetics and Phonology Research","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987000226974487,"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":0.9912999868392944,"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/syllable","display_name":"Syllable","score":0.8779236078262329},{"id":"https://openalex.org/keywords/mandarin-chinese","display_name":"Mandarin Chinese","score":0.8758100271224976},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6736910343170166},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.5979561805725098},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5614827275276184},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.5073694586753845},{"id":"https://openalex.org/keywords/tone","display_name":"Tone (literature)","score":0.47295138239860535},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.41309860348701477},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.41308867931365967},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3269604444503784},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.1190008819103241}],"concepts":[{"id":"https://openalex.org/C109089402","wikidata":"https://www.wikidata.org/wiki/Q8188","display_name":"Syllable","level":2,"score":0.8779236078262329},{"id":"https://openalex.org/C138954614","wikidata":"https://www.wikidata.org/wiki/Q9192","display_name":"Mandarin Chinese","level":2,"score":0.8758100271224976},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6736910343170166},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.5979561805725098},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5614827275276184},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.5073694586753845},{"id":"https://openalex.org/C2780583480","wikidata":"https://www.wikidata.org/wiki/Q1366327","display_name":"Tone (literature)","level":2,"score":0.47295138239860535},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.41309860348701477},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.41308867931365967},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3269604444503784},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.1190008819103241},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipa.2017.8282176","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2017.8282176","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W9493665","https://openalex.org/W154652619","https://openalex.org/W1551697893","https://openalex.org/W1801810991","https://openalex.org/W1964731689","https://openalex.org/W2078617267","https://openalex.org/W2093961534","https://openalex.org/W2162304437","https://openalex.org/W2168772993","https://openalex.org/W2406211590","https://openalex.org/W2613728820","https://openalex.org/W2991469755","https://openalex.org/W3200634688","https://openalex.org/W3211740065","https://openalex.org/W6606337660","https://openalex.org/W6713578289","https://openalex.org/W6803881137"],"related_works":["https://openalex.org/W2393887907","https://openalex.org/W2347443630","https://openalex.org/W2481138693","https://openalex.org/W2388826840","https://openalex.org/W2379831327","https://openalex.org/W2386691339","https://openalex.org/W2163874654","https://openalex.org/W2365805939","https://openalex.org/W2287147624","https://openalex.org/W156219719"],"abstract_inverted_index":{"Prosodic":[0],"strength":[1,55,102,144],"refers":[2],"to":[3,13,24,35,124],"the":[4,54,65,72,75,79,109,162,165],"relative":[5],"prominence":[6],"of":[7,15,56,78,113,133,146,156,164],"each":[8,57],"syllable,":[9,73],"and":[10,31,74,92,127,138],"it":[11],"contributes":[12],"analysis":[14],"prosodic":[16,101,128],"structure.":[17],"A":[18],"speaker":[19,69],"would":[20],"spend":[21,32,70],"more":[22],"effort":[23,34,67],"speak":[25],"clearly":[26],"in":[27,40,59,96,148],"prosodically":[28,41],"strong":[29],"positions,":[30],"less":[33],"produce":[36],"reduced":[37],"phonetic":[38],"forms":[39],"weak":[42],"positions.":[43],"Based":[44],"on":[45,108],"this":[46],"concept,":[47],"we":[48],"proposed":[49],"a":[50,97],"method":[51],"for":[52,71,100],"calculating":[53],"syllable":[58],"continuous":[60,149],"Mandarin":[61],"speech.":[62],"We":[63],"computed":[64],"extra":[66,88],"that":[68,155],"deviation":[76,90],"degree":[77,91],"F0":[80],"contour":[81],"from":[82],"its":[83],"canonical":[84],"tone.":[85],"The":[86,104,142,159],"calculated":[87],"effort,":[89],"duration":[93],"were":[94,106],"combined":[95],"linear":[98],"model":[99],"computation.":[103],"experiments":[105],"conducted":[107],"Annotated":[110],"Speech":[111],"Corpus":[112],"Chinese":[114],"Discourse.":[115],"Results":[116],"showed":[117,161],"that:":[118],"a)":[119],"Strength":[120],"values":[121,145],"are":[122,151],"related":[123],"several":[125],"grammatical":[126],"features":[129],"such":[130],"as":[131],"part":[132],"speech,":[134],"word":[135],"stress":[136],"level,":[137],"break":[139],"index;":[140],"b)":[141],"average":[143],"syllables":[147],"speech":[150],"significantly":[152],"smaller":[153],"than":[154],"isolated":[157],"mono-syllable.":[158],"results":[160],"effectiveness":[163],"model.":[166]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
