{"id":"https://openalex.org/W3134996568","doi":"https://doi.org/10.1109/iscslp49672.2021.9362063","title":"Multi-Scale Model for Mandarin Tone Recognition","display_name":"Multi-Scale Model for Mandarin Tone Recognition","publication_year":2021,"publication_date":"2021-01-24","ids":{"openalex":"https://openalex.org/W3134996568","doi":"https://doi.org/10.1109/iscslp49672.2021.9362063","mag":"3134996568"},"language":"en","primary_location":{"id":"doi:10.1109/iscslp49672.2021.9362063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp49672.2021.9362063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Symposium on Chinese Spoken Language Processing (ISCSLP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5037672272","display_name":"Linkai Peng","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":"Linkai Peng","raw_affiliation_strings":["School of Information Science, Beijing Language and Culture University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science, Beijing Language and Culture University","institution_ids":["https://openalex.org/I115212828"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101574288","display_name":"Dai Wang","orcid":"https://orcid.org/0000-0001-9616-7427"},"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":"Wang Dai","raw_affiliation_strings":["School of Information Science, Beijing Language and Culture University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science, Beijing Language and Culture University","institution_ids":["https://openalex.org/I115212828"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102845007","display_name":"Dengfeng Ke","orcid":"https://orcid.org/0000-0001-8459-0412"},"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":"Dengfeng Ke","raw_affiliation_strings":["School of Information Science, Beijing Language and Culture University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science, 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":["School of Information Science, Beijing Language and Culture University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science, Beijing Language and Culture University","institution_ids":["https://openalex.org/I115212828"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I115212828"],"apc_list":null,"apc_paid":null,"fwci":0.7252,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.67145224,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9962999820709229,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9962999820709229,"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":0.9932000041007996,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9911999702453613,"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/mandarin-chinese","display_name":"Mandarin Chinese","score":0.9538578391075134},{"id":"https://openalex.org/keywords/tone","display_name":"Tone (literature)","score":0.8734403848648071},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7110219597816467},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7076346278190613},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.533424973487854},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.46567460894584656},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.43793782591819763},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4375416040420532},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4134773910045624},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.18662312626838684},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13490155339241028},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.05525293946266174}],"concepts":[{"id":"https://openalex.org/C138954614","wikidata":"https://www.wikidata.org/wiki/Q9192","display_name":"Mandarin Chinese","level":2,"score":0.9538578391075134},{"id":"https://openalex.org/C2780583480","wikidata":"https://www.wikidata.org/wiki/Q1366327","display_name":"Tone (literature)","level":2,"score":0.8734403848648071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7110219597816467},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7076346278190613},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.533424973487854},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46567460894584656},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.43793782591819763},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4375416040420532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4134773910045624},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.18662312626838684},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13490155339241028},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.05525293946266174},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscslp49672.2021.9362063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp49672.2021.9362063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Symposium on Chinese Spoken Language Processing (ISCSLP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7300000190734863}],"awards":[],"funders":[{"id":"https://openalex.org/F4320325046","display_name":"Beijing Language and Culture University","ror":"https://ror.org/03te2zs36"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W7155391","https://openalex.org/W103244930","https://openalex.org/W1522301498","https://openalex.org/W1551697893","https://openalex.org/W1836465849","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1964731689","https://openalex.org/W1966512026","https://openalex.org/W2032429609","https://openalex.org/W2052436446","https://openalex.org/W2097117768","https://openalex.org/W2127141656","https://openalex.org/W2157768221","https://openalex.org/W2163605009","https://openalex.org/W2191779130","https://openalex.org/W2194775991","https://openalex.org/W2274287116","https://openalex.org/W2302255633","https://openalex.org/W2412782625","https://openalex.org/W2560533888","https://openalex.org/W2565639579","https://openalex.org/W2739959771","https://openalex.org/W2765793020","https://openalex.org/W2767722243","https://openalex.org/W2787921141","https://openalex.org/W2796347433","https://openalex.org/W2888990920","https://openalex.org/W2904714269","https://openalex.org/W2931484662","https://openalex.org/W2949117887","https://openalex.org/W2962829835","https://openalex.org/W2963242190","https://openalex.org/W2963437406","https://openalex.org/W2963446712","https://openalex.org/W2964121744","https://openalex.org/W2964350391","https://openalex.org/W2972705345","https://openalex.org/W2994325518","https://openalex.org/W4237468081","https://openalex.org/W4293584584","https://openalex.org/W6600298696","https://openalex.org/W6604228424","https://openalex.org/W6631190155","https://openalex.org/W6633040998","https://openalex.org/W6638667902","https://openalex.org/W6639824700","https://openalex.org/W6684191040","https://openalex.org/W6725739302","https://openalex.org/W6745595462","https://openalex.org/W6750227808","https://openalex.org/W6761199907"],"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/W156219719","https://openalex.org/W2163874654","https://openalex.org/W2365805939","https://openalex.org/W2287147624"],"abstract_inverted_index":{"Tone":[0],"plays":[1],"an":[2,15],"important":[3],"role":[4],"in":[5,71],"tonal":[6],"languages":[7],"such":[8],"as":[9],"Mandarin":[10,22],"and":[11,42,55,101],"tone":[12,27,46,95],"classification":[13,28],"is":[14],"essential":[16],"component":[17],"of":[18,21,53,69,94,124],"speech":[19],"evaluation":[20],"Chinese.":[23],"Previous":[24],"methods":[25],"for":[26],"rarely":[29],"take":[30],"into":[31],"account":[32],"that":[33,108],"different":[34,37],"tones":[35,70],"possess":[36],"scales":[38,60],"along":[39],"both":[40],"time":[41],"frequency":[43],"axis.":[44],"Meanwhile,":[45],"contours":[47],"are":[48],"subject":[49],"to":[50,64,89],"many":[51],"sorts":[52],"variation":[54],"therefore":[56],"information":[57,85],"from":[58],"multiple":[59,87],"can":[61,83],"help":[62],"models":[63],"determine":[65],"the":[66,92,115],"unclear":[67],"boundary":[68],"continuous":[72],"speech.":[73],"In":[74],"this":[75],"work,":[76],"we":[77],"propose":[78],"a":[79],"Multi-Scale":[80],"model":[81],"which":[82],"gather":[84],"at":[86],"resolutions":[88],"better":[90],"capture":[91],"characteristics":[93],"variations":[96],"effected":[97],"by":[98],"complex":[99],"phonetic":[100],"linguistic":[102],"rules.":[103],"The":[104],"experimental":[105],"results":[106,113],"showed":[107],"our":[109],"method":[110],"achieves":[111],"competitive":[112],"on":[114],"Chinese":[116],"National":[117],"Hi-Tech":[118],"Project":[119],"863":[120],"corpus":[121],"with":[122],"TER":[123],"10.5%.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
