{"id":"https://openalex.org/W2964096495","doi":"https://doi.org/10.1109/acpr.2015.7486559","title":"Accent classification with phonetic vowel representation","display_name":"Accent classification with phonetic vowel representation","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2964096495","doi":"https://doi.org/10.1109/acpr.2015.7486559","mag":"2964096495"},"language":"en","primary_location":{"id":"doi:10.1109/acpr.2015.7486559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2015.7486559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR)","raw_type":"proceedings-article"},"type":"preprint","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/A5033386225","display_name":"Zhenhao Ge","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhenhao Ge","raw_affiliation_strings":["Interactive Intelligence Inc., Indianapolis, Indiana, USA"],"affiliations":[{"raw_affiliation_string":"Interactive Intelligence Inc., Indianapolis, Indiana, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082614731","display_name":"Yingyi Tan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yingyi Tan","raw_affiliation_strings":["Interactive Intelligence Inc., Indianapolis, Indiana, USA"],"affiliations":[{"raw_affiliation_string":"Interactive Intelligence Inc., Indianapolis, Indiana, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083410051","display_name":"Aravind Ganapathiraju","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aravind Ganapathiraju","raw_affiliation_strings":["Interactive Intelligence Inc., Indianapolis, Indiana, USA"],"affiliations":[{"raw_affiliation_string":"Interactive Intelligence Inc., Indianapolis, Indiana, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033386225"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.94290274,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.89071703,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"529","last_page":"533"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9962000250816345,"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":0.9950000047683716,"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/vowel","display_name":"Vowel","score":0.7796380519866943},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7053316831588745},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.698513388633728},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6130619049072266},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.6057776212692261},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5738964676856995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5598825812339783},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.390947163105011},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38920164108276367}],"concepts":[{"id":"https://openalex.org/C2779581591","wikidata":"https://www.wikidata.org/wiki/Q36244","display_name":"Vowel","level":2,"score":0.7796380519866943},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7053316831588745},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.698513388633728},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6130619049072266},{"id":"https://openalex.org/C2776756274","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.6057776212692261},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5738964676856995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5598825812339783},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.390947163105011},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38920164108276367}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acpr.2015.7486559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2015.7486559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1504263846","https://openalex.org/W1797143084","https://openalex.org/W1964155876","https://openalex.org/W1993024235","https://openalex.org/W2034866386","https://openalex.org/W2048009429","https://openalex.org/W2143612262","https://openalex.org/W2149353989","https://openalex.org/W2156172072","https://openalex.org/W2408444966","https://openalex.org/W2411442511","https://openalex.org/W3099016294","https://openalex.org/W3105371801","https://openalex.org/W6648830492","https://openalex.org/W6903678714"],"related_works":["https://openalex.org/W4367680763","https://openalex.org/W2739335048","https://openalex.org/W2121231314","https://openalex.org/W1506224037","https://openalex.org/W4213177143","https://openalex.org/W2300973977","https://openalex.org/W2151922127","https://openalex.org/W4237818736","https://openalex.org/W4252005663","https://openalex.org/W2951122819"],"abstract_inverted_index":{"Previous":[0],"accent":[1],"classification":[2,57,64],"research":[3],"focused":[4],"mainly":[5],"on":[6,61,67],"detecting":[7],"accents":[8,72],"with":[9,25,35],"pure":[10],"acoustic":[11,26],"information":[12,27],"without":[13],"recognizing":[14],"accented":[15,52],"speech.":[16],"This":[17],"work":[18],"combines":[19],"phonetic":[20],"knowledge":[21],"such":[22],"as":[23],"vowels":[24],"to":[28,78],"build":[29],"Guassian":[30],"Mixture":[31],"Model":[32],"(GMM)":[33],"classifier":[34],"Perceptual":[36],"Linear":[37,44],"Predictive":[38],"(PLP)":[39],"features,":[40],"optimized":[41],"by":[42],"Hetroscedastic":[43],"Discriminant":[45],"Analysis":[46],"(HLDA).":[47],"With":[48],"input":[49],"about":[50],"20-second":[51],"speech,":[53],"this":[54,83],"system":[55,65],"achieves":[56],"rate":[58],"of":[59,71],"51%":[60],"a":[62],"7-way":[63],"focusing":[66],"the":[68,79],"major":[69],"types":[70],"in":[73,82],"English,":[74],"which":[75],"is":[76],"competitive":[77],"state-of-the-art":[80],"results":[81],"field.":[84]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
