{"id":"https://openalex.org/W2165836175","doi":"https://doi.org/10.1109/icme.2008.4607720","title":"Interruption point detection of spontaneous speech using prior knowledge and multiple features","display_name":"Interruption point detection of spontaneous speech using prior knowledge and multiple features","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2165836175","doi":"https://doi.org/10.1109/icme.2008.4607720","mag":"2165836175"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2008.4607720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2008.4607720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Multimedia and Expo","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/A5101145803","display_name":"Wei-Bin Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-Bin Liang","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049377418","display_name":"Jui\u2010Feng Yeh","orcid":"https://orcid.org/0000-0003-2798-1569"},"institutions":[{"id":"https://openalex.org/I183570559","display_name":"National Chiayi University","ror":"https://ror.org/04gknbs13","country_code":"TW","type":"education","lineage":["https://openalex.org/I183570559"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jui-Feng Yeh","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Chiayi University, Chiayi, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Chiayi University, Chiayi, Taiwan","institution_ids":["https://openalex.org/I183570559"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103251327","display_name":"Chung\u2010Hsien Wu","orcid":"https://orcid.org/0000-0002-3947-2123"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chung-Hsien Wu","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111986006","display_name":"Chi-Chiuan Liou","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chi-Chiuan Liou","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5878,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.80359666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1457","last_page":"1460"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9998999834060669,"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/T12031","display_name":"Speech and dialogue systems","score":0.9998999834060669,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9993000030517578,"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":0.9986000061035156,"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/crfs","display_name":"CRFS","score":0.8870680332183838},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.7271646857261658},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7122812271118164},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6277018785476685},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5975624918937683},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5185478329658508},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4648429751396179},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4581727981567383},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.43798336386680603},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.43184739351272583},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37228477001190186},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2558671832084656},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15547361969947815}],"concepts":[{"id":"https://openalex.org/C2775953691","wikidata":"https://www.wikidata.org/wiki/Q5013874","display_name":"CRFS","level":3,"score":0.8870680332183838},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.7271646857261658},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7122812271118164},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6277018785476685},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5975624918937683},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5185478329658508},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4648429751396179},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4581727981567383},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.43798336386680603},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.43184739351272583},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37228477001190186},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2558671832084656},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15547361969947815},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2008.4607720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2008.4607720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W118623719","https://openalex.org/W1978515398","https://openalex.org/W2065388812","https://openalex.org/W2088921122","https://openalex.org/W2134353544","https://openalex.org/W2146101954","https://openalex.org/W2146848812","https://openalex.org/W2147880316","https://openalex.org/W2161274063","https://openalex.org/W2165487751","https://openalex.org/W2169058332","https://openalex.org/W2426479676","https://openalex.org/W2556975121","https://openalex.org/W2799796486","https://openalex.org/W2949468472","https://openalex.org/W6684423809","https://openalex.org/W6730225611"],"related_works":["https://openalex.org/W50079190","https://openalex.org/W2356597680","https://openalex.org/W182104056","https://openalex.org/W2111726165","https://openalex.org/W2011251309","https://openalex.org/W3108423214","https://openalex.org/W2796133761","https://openalex.org/W3088215229","https://openalex.org/W2511246383","https://openalex.org/W2184553228"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"approach":[4],"to":[5,52,59,87],"interruption":[6,116],"point":[7,117],"(IP)":[8],"detection":[9,94],"of":[10,31,72],"spontaneous":[11,119],"speech":[12],"based":[13],"on":[14],"conditional":[15],"random":[16,38],"fields":[17,39],"using":[18],"prior":[19],"knowledge":[20],"and":[21,34,41],"multiple":[22],"features.":[23,36,75],"The":[24,92,104],"features":[25,44,55],"adopted":[26,68],"in":[27,101,118],"this":[28],"study":[29],"consist":[30],"subsyllable":[32],"boundaries":[33],"prosodic":[35,74],"Conditional":[37],"(CRFs)":[40],"variable-length":[42],"contextual":[43],"are":[45],"employed":[46],"for":[47,69],"IP":[48,93],"modeling.":[49],"In":[50,76],"order":[51],"apply":[53],"the":[54,60,63,70,73,77,89,109,115],"with":[56],"continuous":[57],"values":[58],"CRF":[61],"models,":[62],"K-means":[64],"clustering":[65],"algorithm":[66],"is":[67],"quantization":[71],"experimental":[78,105],"results,":[79],"Mandarin":[80],"Conversional":[81],"Dialogue":[82],"Corpus":[83],"(MCDC)":[84],"was":[85],"used":[86],"evaluate":[88],"proposed":[90,110],"method.":[91],"error":[95],"rate":[96],"achieved":[97],"almost":[98],"20%":[99],"reduction":[100],"Rt04":[102],"measure.":[103],"results":[106],"show":[107],"that":[108],"model":[111],"can":[112],"effectively":[113],"detect":[114],"speech.":[120]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
