{"id":"https://openalex.org/W130489884","doi":"https://doi.org/10.21437/eurospeech.2001-39","title":"Model based stress decision method","display_name":"Model based stress decision method","publication_year":2001,"publication_date":"2001-09-03","ids":{"openalex":"https://openalex.org/W130489884","doi":"https://doi.org/10.21437/eurospeech.2001-39","mag":"130489884"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.2001-39","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2001-39","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th European Conference on Speech Communication and Technology (Eurospeech 2001)","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/A5101977971","display_name":"Wooil Kim","orcid":"https://orcid.org/0000-0002-6075-570X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wooil Kim","raw_affiliation_strings":[", Korea University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":", Korea University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015463523","display_name":"Taeyun Kim","orcid":"https://orcid.org/0000-0001-6575-8689"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Taeyun Kim","raw_affiliation_strings":[", Korea University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":", Korea University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070246276","display_name":"Sungjoo Ahn","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sungjoo Ahn","raw_affiliation_strings":[", Korea University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":", Korea University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026204977","display_name":"Hanseok Ko","orcid":"https://orcid.org/0000-0002-8744-4514"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hanseok Ko","raw_affiliation_strings":["School of Electrical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01737173,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"107","last_page":"110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9976999759674072,"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":0.9976999759674072,"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6798451542854309},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6165792346000671},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.564063310623169},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.47569286823272705},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.46689045429229736},{"id":"https://openalex.org/keywords/decision-model","display_name":"Decision model","score":0.43019527196884155},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.41211533546447754},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4064645767211914},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38991057872772217},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15912014245986938}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6798451542854309},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6165792346000671},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.564063310623169},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.47569286823272705},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.46689045429229736},{"id":"https://openalex.org/C59594135","wikidata":"https://www.wikidata.org/wiki/Q5249242","display_name":"Decision model","level":2,"score":0.43019527196884155},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.41211533546447754},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4064645767211914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38991057872772217},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15912014245986938},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/eurospeech.2001-39","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2001-39","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th European Conference on Speech Communication and Technology (Eurospeech 2001)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2137354628","https://openalex.org/W2147824816"],"related_works":["https://openalex.org/W2067317451","https://openalex.org/W2154771632","https://openalex.org/W4211085505","https://openalex.org/W3122478268","https://openalex.org/W2084758217","https://openalex.org/W408804804","https://openalex.org/W4231021675","https://openalex.org/W3086365953","https://openalex.org/W4226072953","https://openalex.org/W2386121355"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"effective":[4],"decision":[5],"method":[6,44,81],"focused":[7],"to":[8,23,47],"evaluate":[9],"the":[10,17,39,42,52,79,101],"\u201cstress":[11],"position\u201d.":[12],"Conventional":[13],"methods":[14],"usually":[15],"extract":[16],"acoustic":[18],"parameters":[19],"and":[20,84],"compare":[21],"them":[22],"reference":[24],"in":[25],"absolute":[26],"scale,":[27],"adversely":[28],"producing":[29],"unstable":[30],"results":[31,76,96],"as":[32],"testing":[33],"condition":[34],"changes.":[35],"To":[36],"cope":[37],"with":[38],"environmental":[40],"dependency,":[41],"proposed":[43,80],"is":[45,82,87,107],"designed":[46],"be":[48],"model-based":[49],"that":[50,78,85,99],"determines":[51],"stressed":[53],"interval":[54],"by":[55,71,104],"making":[56],"relative":[57],"comparison":[58],"over":[59],"candidates.":[60],"The":[61,74,95],"stressed/unstressed":[62,102],"models":[63,70],"are":[64],"then":[65],"induced":[66],"from":[67],"normal":[68],"phone":[69],"adaptive":[72,105],"training.":[73],"experimental":[75],"indicate":[77],"promising":[83],"it":[86],"useful":[88],"for":[89],"automatic":[90],"detection":[91],"of":[92],"stress":[93],"positions.":[94],"also":[97],"show":[98],"generating":[100],"model":[103],"training":[106],"effective.":[108]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
