{"id":"https://openalex.org/W2004048105","doi":"https://doi.org/10.1109/iscslp.2014.6936682","title":"Cross-language speech attribute detection and phone recognition for Tibetan using deep learning","display_name":"Cross-language speech attribute detection and phone recognition for Tibetan using deep learning","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W2004048105","doi":"https://doi.org/10.1109/iscslp.2014.6936682","mag":"2004048105"},"language":"en","primary_location":{"id":"doi:10.1109/iscslp.2014.6936682","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp.2014.6936682","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 9th International Symposium on Chinese Spoken Language Processing","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/A5100460850","display_name":"Hui Wang","orcid":"https://orcid.org/0000-0002-8814-1988"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Wang","raw_affiliation_strings":["Department of Automation, Minzu University of China, Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Minzu University of China, Beijing","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062078743","display_name":"Yue Zhao","orcid":"https://orcid.org/0000-0002-4007-7016"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Zhao","raw_affiliation_strings":["Department of Automation, Minzu University of China, Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Minzu University of China, Beijing","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019508487","display_name":"Yanmin Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanmin Xu","raw_affiliation_strings":["Department of Automation, Minzu University of China, Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Minzu University of China, Beijing","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045844800","display_name":"Xiaona Xu","orcid":"https://orcid.org/0000-0001-8715-1618"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaona Xu","raw_affiliation_strings":["Department of Automation, Minzu University of China, Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Minzu University of China, Beijing","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068603343","display_name":"Xingmei Suo","orcid":null},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingmei Suo","raw_affiliation_strings":["Department of Automation, Minzu University of China, Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Minzu University of China, Beijing","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076346273","display_name":"Qiang Ji","orcid":"https://orcid.org/0000-0002-4302-2889"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiang Ji","raw_affiliation_strings":["Rensselaer Polytechnic Institute, Troy, NY, USA","Rensselaer Polytechnic Institute Troy, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute, Troy, NY, USA","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Rensselaer Polytechnic Institute Troy, NY, USA","institution_ids":["https://openalex.org/I165799507"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6916,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.87274175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"38","issue":null,"first_page":"474","last_page":"477"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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":0.9983000159263611,"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/computer-science","display_name":"Computer science","score":0.7946362495422363},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7210102081298828},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.6999584436416626},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.658909797668457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6207648515701294},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5375733971595764},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4305413067340851},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4224031865596771},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.365348756313324},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.05878832936286926}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7946362495422363},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7210102081298828},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.6999584436416626},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.658909797668457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6207648515701294},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5375733971595764},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4305413067340851},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4224031865596771},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.365348756313324},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.05878832936286926},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscslp.2014.6936682","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp.2014.6936682","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 9th International Symposium on Chinese Spoken Language Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6700000166893005,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W28953113","https://openalex.org/W199836251","https://openalex.org/W1980850109","https://openalex.org/W2017954457","https://openalex.org/W2025198378","https://openalex.org/W2108586753","https://openalex.org/W2120209245","https://openalex.org/W2133267619","https://openalex.org/W2140372979","https://openalex.org/W2164505566","https://openalex.org/W2363408675","https://openalex.org/W2402709685","https://openalex.org/W6601134737","https://openalex.org/W6608198861"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2082756648","https://openalex.org/W3194278305","https://openalex.org/W2370205415","https://openalex.org/W2611989081","https://openalex.org/W2289648981","https://openalex.org/W4387493491","https://openalex.org/W2904225411","https://openalex.org/W2114089658","https://openalex.org/W2061937230"],"abstract_inverted_index":{"Articulatory":[0],"features":[1],"(AFs)":[2],"are":[3,15],"viewed":[4],"as":[5],"the":[6,36,62,68],"universal":[7],"speech":[8,12,43,51,70],"attributes":[9,44,71],"for":[10,49],"cross-language":[11,50],"recognition.":[13,52],"They":[14],"usually":[16],"detected":[17],"using":[18],"a":[19,26,46],"bank":[20],"of":[21],"multi-layer":[22],"perceptrons":[23],"(MLPs)":[24],"in":[25,45],"supervised":[27],"manner.":[28],"In":[29],"this":[30],"paper,":[31],"we":[32],"propose":[33],"to":[34,40],"apply":[35],"deep":[37,63],"learning":[38,64],"method":[39,65],"detect":[41,67],"AF-based":[42,69],"semi-supervised":[47],"manner":[48],"The":[53],"experimental":[54],"results":[55],"on":[56],"Tibetan":[57],"phone":[58,77],"recognition":[59,78],"showed":[60],"that":[61],"can":[66],"more":[72],"accurately":[73],"and":[74],"has":[75],"higher":[76],"rates":[79],"than":[80],"MLPs.":[81]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
