{"id":"https://openalex.org/W2810166208","doi":"https://doi.org/10.1109/taslp.2018.2852500","title":"Dirichlet Process Mixture of Mixtures Model for Unsupervised Subword Modeling","display_name":"Dirichlet Process Mixture of Mixtures Model for Unsupervised Subword Modeling","publication_year":2018,"publication_date":"2018-07-02","ids":{"openalex":"https://openalex.org/W2810166208","doi":"https://doi.org/10.1109/taslp.2018.2852500","mag":"2810166208"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2018.2852500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2018.2852500","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-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/A5015873217","display_name":"Michael Heck","orcid":"https://orcid.org/0000-0001-9841-5025"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Michael Heck","raw_affiliation_strings":["Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040108974","display_name":"Sakriani Sakti","orcid":"https://orcid.org/0000-0001-5509-8963"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sakriani Sakti","raw_affiliation_strings":["Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020994673","display_name":"Satoshi Nakamura","orcid":"https://orcid.org/0000-0001-6956-3803"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Nakamura","raw_affiliation_strings":["Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015873217"],"corresponding_institution_ids":["https://openalex.org/I75917431"],"apc_list":null,"apc_paid":null,"fwci":0.4887,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72381908,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"26","issue":"11","first_page":"2027","last_page":"2042"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9995999932289124,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9995999932289124,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9901999831199646,"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/T11269","display_name":"Algorithms and Data Compression","score":0.989300012588501,"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/codebook","display_name":"Codebook","score":0.9096648693084717},{"id":"https://openalex.org/keywords/hierarchical-dirichlet-process","display_name":"Hierarchical Dirichlet process","score":0.7771816253662109},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5937705039978027},{"id":"https://openalex.org/keywords/gibbs-sampling","display_name":"Gibbs sampling","score":0.5434624552726746},{"id":"https://openalex.org/keywords/dirichlet-distribution","display_name":"Dirichlet distribution","score":0.5335014462471008},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.5124421715736389},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.5075892210006714},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4545055031776428},{"id":"https://openalex.org/keywords/parallelizable-manifold","display_name":"Parallelizable manifold","score":0.43250948190689087},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3797121047973633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3626537322998047},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3270828127861023},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3040160536766052},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.28350141644477844},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.1900501549243927}],"concepts":[{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.9096648693084717},{"id":"https://openalex.org/C141318989","wikidata":"https://www.wikidata.org/wiki/Q5753066","display_name":"Hierarchical Dirichlet process","level":4,"score":0.7771816253662109},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5937705039978027},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.5434624552726746},{"id":"https://openalex.org/C169214877","wikidata":"https://www.wikidata.org/wiki/Q981016","display_name":"Dirichlet distribution","level":3,"score":0.5335014462471008},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.5124421715736389},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.5075892210006714},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4545055031776428},{"id":"https://openalex.org/C148047603","wikidata":"https://www.wikidata.org/wiki/Q1014612","display_name":"Parallelizable manifold","level":2,"score":0.43250948190689087},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3797121047973633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3626537322998047},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3270828127861023},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3040160536766052},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.28350141644477844},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.1900501549243927},{"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/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"score":0.0},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2018.2852500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2018.2852500","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6616750388","display_name":null,"funder_award_id":"JP17H06101","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G947068629","display_name":null,"funder_award_id":"JP17K00237","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W64187236","https://openalex.org/W1524333225","https://openalex.org/W1560013842","https://openalex.org/W1589170661","https://openalex.org/W1599512239","https://openalex.org/W1613448136","https://openalex.org/W1920769845","https://openalex.org/W1967687583","https://openalex.org/W1971807270","https://openalex.org/W1975427826","https://openalex.org/W1977286842","https://openalex.org/W1994897900","https://openalex.org/W2002342963","https://openalex.org/W2044138293","https://openalex.org/W2062373184","https://openalex.org/W2069429561","https://openalex.org/W2072169887","https://openalex.org/W2090861223","https://openalex.org/W2100163972","https://openalex.org/W2101998432","https://openalex.org/W2106554350","https://openalex.org/W2113037082","https://openalex.org/W2120432176","https://openalex.org/W2120636621","https://openalex.org/W2124629003","https://openalex.org/W2128032727","https://openalex.org/W2145410271","https://openalex.org/W2152051032","https://openalex.org/W2162021827","https://openalex.org/W2345811097","https://openalex.org/W2395899413","https://openalex.org/W2399576818","https://openalex.org/W2405618829","https://openalex.org/W2509930204","https://openalex.org/W2586754519","https://openalex.org/W2600717762","https://openalex.org/W2615915281","https://openalex.org/W2786608204","https://openalex.org/W2786902352","https://openalex.org/W2787447541","https://openalex.org/W2963620343","https://openalex.org/W3101455611","https://openalex.org/W6602662854","https://openalex.org/W6631362777","https://openalex.org/W6636447677","https://openalex.org/W6674922813","https://openalex.org/W6677150433","https://openalex.org/W6678007500","https://openalex.org/W6678007862","https://openalex.org/W6678947187","https://openalex.org/W6684363390","https://openalex.org/W6697293080","https://openalex.org/W6704305767","https://openalex.org/W6712444837","https://openalex.org/W6712553779","https://openalex.org/W6748342566","https://openalex.org/W6748489002","https://openalex.org/W6973666849"],"related_works":["https://openalex.org/W2517377710","https://openalex.org/W2939843948","https://openalex.org/W2088304067","https://openalex.org/W2162057505","https://openalex.org/W1875104731","https://openalex.org/W2388055569","https://openalex.org/W2779791408","https://openalex.org/W4385270375","https://openalex.org/W2053405531","https://openalex.org/W1980961028"],"abstract_inverted_index":{"We":[0,40,65],"develop":[1],"a":[2,10,21,28,42,61,130],"parallelizable":[3],"Markov":[4],"chain":[5],"Monte":[6],"Carlo":[7],"sampler":[8,18,45,70],"for":[9,71],"Dirichlet":[11,132],"process":[12,133],"mixture":[13,57,134],"of":[14,31,49,84],"mixtures":[15],"model.":[16],"Our":[17],"jointly":[19],"infers":[20,93],"codebook":[22,26,55],"and":[23,51,56,124],"clusters.":[24],"The":[25],"is":[27],"global":[29],"collection":[30],"components.":[32],"Clusters":[33],"are":[34],"mixtures,":[35],"defined":[36],"over":[37],"the":[38,81,111],"codebook.":[39],"combine":[41],"nonergodic":[43],"Gibbs":[44],"with":[46],"two":[47],"layers":[48],"split":[50],"merge":[52],"samplers":[53],"on":[54,106],"level":[58],"to":[59,129],"form":[60],"valid":[62],"ergodic":[63],"chain.":[64],"design":[66],"an":[67],"additional":[68],"switch":[69],"components":[72],"that":[73,90,101,118],"supports":[74],"convergence":[75],"in":[76],"our":[77,91],"experimental":[78],"results.":[79],"In":[80],"use":[82],"case":[83],"unsupervised":[85],"subword":[86,120],"modeling,":[87],"we":[88,114],"show":[89,103,125],"method":[92],"complex":[94],"classes":[95,117],"from":[96],"real":[97],"speech":[98],"feature":[99],"vectors":[100],"consistently":[102,123],"higher":[104],"quality":[105],"several":[107],"evaluation":[108],"metrics.":[109],"At":[110],"same":[112],"time,":[113],"infer":[115],"fewer":[116],"represent":[119],"units":[121],"more":[122],"longer":[126],"durations,":[127],"compared":[128],"standard":[131],"model":[135],"sampler.":[136]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}