{"id":"https://openalex.org/W2063621534","doi":"https://doi.org/10.1016/s0167-6393(01)00047-4","title":"A segmental-feature HMM for continuous speech recognition based on a parametric trajectory model","display_name":"A segmental-feature HMM for continuous speech recognition based on a parametric trajectory model","publication_year":2002,"publication_date":"2002-09-01","ids":{"openalex":"https://openalex.org/W2063621534","doi":"https://doi.org/10.1016/s0167-6393(01)00047-4","mag":"2063621534"},"language":"en","primary_location":{"id":"doi:10.1016/s0167-6393(01)00047-4","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0167-6393(01)00047-4","pdf_url":null,"source":{"id":"https://openalex.org/S128025751","display_name":"Speech Communication","issn_l":"0167-6393","issn":["0167-6393","1872-7182"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Speech Communication","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/A5101941666","display_name":"Young-Sun Yun","orcid":"https://orcid.org/0000-0003-3349-8450"},"institutions":[{"id":"https://openalex.org/I112728665","display_name":"Hannam University","ror":"https://ror.org/01cwbae71","country_code":"KR","type":"education","lineage":["https://openalex.org/I112728665"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Young-Sun Yun","raw_affiliation_strings":["Electronic Information and Communication Engineering, School of Information Technology and Multimedia Engineering, Hannam University, 133 Ojung-dong, Daeduk-gu, Taejon 306-791, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Electronic Information and Communication Engineering, School of Information Technology and Multimedia Engineering, Hannam University, 133 Ojung-dong, Daeduk-gu, Taejon 306-791, Republic of Korea","institution_ids":["https://openalex.org/I112728665"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101108235","display_name":"Yung\u2010Hwan Oh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yung-Hwan Oh","raw_affiliation_strings":["Division of Computer Science, Department of Electrical Engineering & Computer Science, Korea Advanced Institute of Science and Technology, 373-1, Kusong-dong, Yusong-gu, Taejon, 305-701, Republic  "],"affiliations":[{"raw_affiliation_string":"Division of Computer Science, Department of Electrical Engineering & Computer Science, Korea Advanced Institute of Science and Technology, 373-1, Kusong-dong, Yusong-gu, Taejon, 305-701, Republic  ","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101941666"],"corresponding_institution_ids":["https://openalex.org/I112728665"],"apc_list":{"value":2870,"currency":"USD","value_usd":2870},"apc_paid":null,"fwci":0.8568,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.77379326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"38","issue":"1-2","first_page":"115","last_page":"130"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9994999766349792,"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":0.9930999875068665,"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.883607029914856},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7529683709144592},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6502659916877747},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6185048222541809},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5613510012626648},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5266311764717102},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.48914864659309387},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46985235810279846},{"id":"https://openalex.org/keywords/timit","display_name":"TIMIT","score":0.46052321791648865},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.45494958758354187},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.45018211007118225},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.41634607315063477},{"id":"https://openalex.org/keywords/hidden-semi-markov-model","display_name":"Hidden semi-Markov model","score":0.41061848402023315},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3674400746822357},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.35009390115737915},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32818368077278137},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.2644948959350586},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14383971691131592},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11581024527549744},{"id":"https://openalex.org/keywords/markov-property","display_name":"Markov property","score":0.10449874401092529}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.883607029914856},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7529683709144592},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6502659916877747},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6185048222541809},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5613510012626648},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5266311764717102},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.48914864659309387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46985235810279846},{"id":"https://openalex.org/C2778724510","wikidata":"https://www.wikidata.org/wiki/Q7670405","display_name":"TIMIT","level":3,"score":0.46052321791648865},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.45494958758354187},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.45018211007118225},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.41634607315063477},{"id":"https://openalex.org/C64939953","wikidata":"https://www.wikidata.org/wiki/Q3859882","display_name":"Hidden semi-Markov model","level":5,"score":0.41061848402023315},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3674400746822357},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.35009390115737915},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32818368077278137},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.2644948959350586},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14383971691131592},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11581024527549744},{"id":"https://openalex.org/C189973286","wikidata":"https://www.wikidata.org/wiki/Q176695","display_name":"Markov property","level":4,"score":0.10449874401092529},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/s0167-6393(01)00047-4","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0167-6393(01)00047-4","pdf_url":null,"source":{"id":"https://openalex.org/S128025751","display_name":"Speech Communication","issn_l":"0167-6393","issn":["0167-6393","1872-7182"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Speech Communication","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.4300000071525574,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W17457021","https://openalex.org/W1983628629","https://openalex.org/W1994396704","https://openalex.org/W1998362482","https://openalex.org/W2044045749","https://openalex.org/W2077804127","https://openalex.org/W2083393647","https://openalex.org/W2111551391","https://openalex.org/W2131798047","https://openalex.org/W2138530627","https://openalex.org/W2143203634","https://openalex.org/W2165958697","https://openalex.org/W2167845555","https://openalex.org/W2170120409","https://openalex.org/W2270719270","https://openalex.org/W2342418827","https://openalex.org/W2399150001","https://openalex.org/W4302170502","https://openalex.org/W6693832373"],"related_works":["https://openalex.org/W1510894296","https://openalex.org/W2379938888","https://openalex.org/W4246505579","https://openalex.org/W2134386692","https://openalex.org/W2116722627","https://openalex.org/W2799426416","https://openalex.org/W2537260108","https://openalex.org/W1977445474","https://openalex.org/W2792905593","https://openalex.org/W2194396582"],"abstract_inverted_index":null,"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
