{"id":"https://openalex.org/W2399501255","doi":"https://doi.org/10.21437/interspeech.2013-392","title":"Robust estimation of multiple-regression HMM parameters for dimension-based expressive dialogue speech synthesis","display_name":"Robust estimation of multiple-regression HMM parameters for dimension-based expressive dialogue speech synthesis","publication_year":2013,"publication_date":"2013-08-25","ids":{"openalex":"https://openalex.org/W2399501255","doi":"https://doi.org/10.21437/interspeech.2013-392","mag":"2399501255"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2013-392","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2013-392","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2013","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/A5100694159","display_name":"Tomohiro Nagata","orcid":"https://orcid.org/0000-0002-7156-9849"},"institutions":[{"id":"https://openalex.org/I207399273","display_name":"Utsunomiya University","ror":"https://ror.org/05bx1gz93","country_code":"JP","type":"education","lineage":["https://openalex.org/I207399273"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomohiro Nagata","raw_affiliation_strings":["Utsunomiya University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Utsunomiya University","institution_ids":["https://openalex.org/I207399273"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101591500","display_name":"Hiroki Mori","orcid":"https://orcid.org/0000-0002-2883-1143"},"institutions":[{"id":"https://openalex.org/I207399273","display_name":"Utsunomiya University","ror":"https://ror.org/05bx1gz93","country_code":"JP","type":"education","lineage":["https://openalex.org/I207399273"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki Mori","raw_affiliation_strings":["Utsunomiya University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Utsunomiya University","institution_ids":["https://openalex.org/I207399273"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103144936","display_name":"Takashi Nose","orcid":"https://orcid.org/0000-0001-5403-0019"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Nose","raw_affiliation_strings":["Tokyo Institute of Technology;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology;","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.23494407,"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":"1549","last_page":"1553"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9954000115394592,"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":0.9954000115394592,"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/T12031","display_name":"Speech and dialogue systems","score":0.9595000147819519,"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/T10028","display_name":"Topic Modeling","score":0.9101999998092651,"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/computer-science","display_name":"Computer science","score":0.7273619771003723},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.7201013565063477},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6781437993049622},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6580049395561218},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5349776744842529},{"id":"https://openalex.org/keywords/speech-synthesis","display_name":"Speech synthesis","score":0.5196896195411682},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5150256156921387},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4978916645050049},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4287894666194916},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40738338232040405},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27386921644210815},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15610626339912415},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1376470923423767},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.056048840284347534}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7273619771003723},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7201013565063477},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6781437993049622},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6580049395561218},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5349776744842529},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.5196896195411682},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5150256156921387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4978916645050049},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4287894666194916},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40738338232040405},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27386921644210815},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15610626339912415},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1376470923423767},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.056048840284347534},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2013-392","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2013-392","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2013","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2904846757","https://openalex.org/W175280642","https://openalex.org/W2688184458","https://openalex.org/W31220157","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W3186837933","https://openalex.org/W2368989808"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}