{"id":"https://openalex.org/W2066212288","doi":"https://doi.org/10.1109/icassp.2013.6638993","title":"Subspace-based phonotactic language recognition using multivariate dynamic linear models","display_name":"Subspace-based phonotactic language recognition using multivariate dynamic linear models","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2066212288","doi":"https://doi.org/10.1109/icassp.2013.6638993","mag":"2066212288"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6638993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal 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/A5048338308","display_name":"Hung-Shin Lee","orcid":"https://orcid.org/0000-0001-7044-9434"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Hung-Shin Lee","raw_affiliation_strings":["National Taiwan University, Taipei, TW"],"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, TW","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020861740","display_name":"Yu-Chin Shih","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Chin Shih","raw_affiliation_strings":["Institute of Information Science, Academia Sinica, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210098366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071214181","display_name":"Hsin\u2010Min Wang","orcid":"https://orcid.org/0000-0003-3599-5071"},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsin-Min Wang","raw_affiliation_strings":["Institute of Information Science, Academia Sinica, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210098366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028285867","display_name":"Shyh\u2010Kang Jeng","orcid":"https://orcid.org/0000-0001-8960-9995"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shyh-Kang Jeng","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5048338308"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.09416579,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"6870","last_page":"6874"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998000264167786,"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":0.9998000264167786,"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/T11309","display_name":"Music and Audio Processing","score":0.9998000264167786,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/phonotactics","display_name":"Phonotactics","score":0.9224931597709656},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7584585547447205},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6276752948760986},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.6223719120025635},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6070427298545837},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.5643646121025085},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5583460330963135},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5529702305793762},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48683780431747437},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.484578013420105},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3928353488445282},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20520225167274475}],"concepts":[{"id":"https://openalex.org/C4768521","wikidata":"https://www.wikidata.org/wiki/Q512366","display_name":"Phonotactics","level":3,"score":0.9224931597709656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7584585547447205},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6276752948760986},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.6223719120025635},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6070427298545837},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.5643646121025085},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5583460330963135},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5529702305793762},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48683780431747437},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.484578013420105},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3928353488445282},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20520225167274475},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C148934300","wikidata":"https://www.wikidata.org/wiki/Q40998","display_name":"Phonology","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2013.6638993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.699999988079071,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W47263812","https://openalex.org/W61053364","https://openalex.org/W127940765","https://openalex.org/W153567543","https://openalex.org/W185189022","https://openalex.org/W1564660545","https://openalex.org/W1718034124","https://openalex.org/W1973532874","https://openalex.org/W1973706390","https://openalex.org/W2034051450","https://openalex.org/W2087399108","https://openalex.org/W2091409162","https://openalex.org/W2098859361","https://openalex.org/W2100546383","https://openalex.org/W2106284094","https://openalex.org/W2107455326","https://openalex.org/W2117099982","https://openalex.org/W2119772606","https://openalex.org/W2126017757","https://openalex.org/W2130739159","https://openalex.org/W2146194791","https://openalex.org/W2146610201","https://openalex.org/W2150769028","https://openalex.org/W2161852798","https://openalex.org/W2294116008","https://openalex.org/W2402062046","https://openalex.org/W2402770595","https://openalex.org/W2408208090","https://openalex.org/W2798909945","https://openalex.org/W2912155302","https://openalex.org/W3141437658","https://openalex.org/W3198419098","https://openalex.org/W4302458905","https://openalex.org/W6601939451","https://openalex.org/W6607538539","https://openalex.org/W6713378576","https://openalex.org/W6845844910"],"related_works":["https://openalex.org/W2615317726","https://openalex.org/W2021909761","https://openalex.org/W198649858","https://openalex.org/W2467354670","https://openalex.org/W2498910126","https://openalex.org/W2497306275","https://openalex.org/W1602082497","https://openalex.org/W4389100922","https://openalex.org/W2619211984","https://openalex.org/W1603786716"],"abstract_inverted_index":{"Phonotactics,":[0],"dealing":[1],"with":[2,45],"permissible":[3],"phone":[4,29,42,52,92],"patterns":[5,93],"and":[6,108,111,181],"their":[7],"frequencies":[8],"of":[9,28,41,69,76,91,161],"occurrence":[10],"in":[11,94,122,155],"a":[12,59,74,98,118,135,156],"specific":[13],"language,":[14],"is":[15,106,131],"acknowledged":[16],"to":[17,20,62,116,150,185],"be":[18,35,148],"related":[19],"spoken":[21],"language":[22],"recognition":[23],"(SLR).":[24],"With":[25],"the":[26,64,70,89,101,123,129,165,170,174],"assistance":[27],"recognizers,":[30],"each":[31,95],"speech":[32],"utterance":[33,96,126],"can":[34,147],"decoded":[36],"into":[37,134],"an":[38],"ordered":[39],"sequence":[40],"vectors":[43,72,105],"filled":[44],"likelihood":[46],"scores":[47],"contributed":[48],"by":[49,128],"all":[50],"possible":[51],"models.":[53],"In":[54,85],"this":[55],"paper,":[56],"we":[57],"propose":[58],"novel":[60],"approach":[61],"dig":[63],"concealed":[65],"phonotactic":[66],"structure":[67],"out":[68],"phone-likelihood":[71],"through":[73],"kind":[75],"multivariate":[77],"time":[78],"series":[79],"analysis:":[80],"dynamic":[81,99],"linear":[82,137,151],"models":[83],"(DLM).":[84],"these":[86],"models,":[87],"treating":[88],"generation":[90],"as":[97],"system,":[100],"relationship":[102],"between":[103,144],"adjacent":[104],"linearly":[107],"time-invariantly":[109],"modeled,":[110],"unobserved":[112],"states":[113],"are":[114],"introduced":[115],"capture":[117],"temporal":[119],"coherence":[120],"intrinsic":[121],"system.":[124],"Each":[125],"expressed":[127],"DLM":[130],"further":[132],"transformed":[133],"fixed-dimensional":[136],"subspace":[138],"so":[139],"that":[140,169],"well-developed":[141],"distance":[142],"measures":[143],"two":[145],"subspaces":[146],"applied":[149],"discriminant":[152],"analysis":[153],"(LDA)":[154],"dissimilarity-based":[157],"fashion.":[158],"The":[159],"results":[160],"SLR":[162],"experiments":[163],"on":[164],"OGI-TS":[166],"corpus":[167],"demonstrate":[168],"proposed":[171],"framework":[172],"outperforms":[173],"well-known":[175],"vector":[176],"space":[177],"modeling":[178],"(VSM)-based":[179],"methods":[180],"achieves":[182],"comparable":[183],"performance":[184],"our":[186],"previous":[187],"subspace-based":[188],"method.":[189]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}