{"id":"https://openalex.org/W2013800876","doi":"https://doi.org/10.1002/scj.4690250505","title":"Continuous speech recognition by sentence spotting applying the vector continuous dynamic programming to output of partial matching method","display_name":"Continuous speech recognition by sentence spotting applying the vector continuous dynamic programming to output of partial matching method","publication_year":1994,"publication_date":"1994-01-01","ids":{"openalex":"https://openalex.org/W2013800876","doi":"https://doi.org/10.1002/scj.4690250505","mag":"2013800876"},"language":"en","primary_location":{"id":"doi:10.1002/scj.4690250505","is_oa":false,"landing_page_url":"https://doi.org/10.1002/scj.4690250505","pdf_url":null,"source":{"id":"https://openalex.org/S58208175","display_name":"Systems and Computers in Japan","issn_l":"0882-1666","issn":["0882-1666","1520-684X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems and Computers in Japan","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/A5112640795","display_name":"Ryuichi Oka","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ryuichi Oka","raw_affiliation_strings":["Electrotechnical Laboratory, Tsukuba, Japan 305"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrotechnical Laboratory, Tsukuba, Japan 305","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5112640795"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12915115,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":"5","first_page":"38","last_page":"51"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9991999864578247,"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":0.9991999864578247,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9969000220298767,"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/spotting","display_name":"Spotting","score":0.7660344839096069},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7653531432151794},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7485319972038269},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.7280319333076477},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5040689706802368},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4573710262775421},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4235837757587433},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36540868878364563},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16238483786582947}],"concepts":[{"id":"https://openalex.org/C2779506182","wikidata":"https://www.wikidata.org/wiki/Q7580141","display_name":"Spotting","level":2,"score":0.7660344839096069},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7653531432151794},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7485319972038269},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.7280319333076477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5040689706802368},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4573710262775421},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4235837757587433},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36540868878364563},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16238483786582947},{"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:10.1002/scj.4690250505","is_oa":false,"landing_page_url":"https://doi.org/10.1002/scj.4690250505","pdf_url":null,"source":{"id":"https://openalex.org/S58208175","display_name":"Systems and Computers in Japan","issn_l":"0882-1666","issn":["0882-1666","1520-684X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems and Computers in Japan","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W94545481","https://openalex.org/W2137095888","https://openalex.org/W2156276529","https://openalex.org/W2158791054"],"related_works":["https://openalex.org/W2034439647","https://openalex.org/W3184921334","https://openalex.org/W2033009170","https://openalex.org/W2988098900","https://openalex.org/W4386895402","https://openalex.org/W2028814537","https://openalex.org/W2058491579","https://openalex.org/W1483316057","https://openalex.org/W118429992","https://openalex.org/W4300154353"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"paper":[2],"proposes":[3],"a":[4,72],"speaker\u2010independent":[5],"continuous":[6,129],"speech":[7,130],"recognition":[8,52,89,97],"system":[9,14,141],"on":[10],"sentence":[11,32,39,50,88,148],"spotting.":[12,149],"The":[13,87,133],"is":[15,131,137],"composed":[16],"of":[17,24,31,59,74,79,84,91,99,120],"the":[18,75,82,103,106,128,140,143,147],"following":[19],"three":[20,109],"parts:":[21],"(1)":[22],"construction":[23],"three\u2010connected":[25],"demi\u2010phoneme":[26,35,111],"standard":[27,112],"patterns;":[28],"(2)":[29],"description":[30],"set":[33],"by":[34,41,127],"network;":[36],"and":[37,45,81,124],"(3)":[38],"spotting":[40,51],"\u201cPartial":[42],"Matching":[43],"Method\u201d":[44],"\u201cVector":[46],"Continuous":[47],"DP.\u201d":[48],"A":[49],"experiment":[53],"was":[54,94],"conducted":[55],"in":[56,68,102,139],"which":[57,70],"each":[58],"10":[60],"open":[61],"speakers":[62],"uttered":[63],"11":[64],"sentences":[65,67],"(110":[66],"total,":[69],"form":[71],"task":[73],"average":[76],"branching":[77],"factor":[78],"4.1":[80],"number":[83],"words":[85],"113).":[86],"rate":[90,98],"76.4":[92],"percent":[93,101],"obtained":[95],"(word":[96],"94.5":[100],"sentence).":[104],"In":[105],"proposed":[107],"system,":[108],"connected":[110],"patterns":[113],"are":[114],"constructed":[115],"using":[116],"only":[117],"492":[118],"kinds":[119],"balanced":[121],"word":[122],"sets,":[123],"no":[125],"training":[126],"applied.":[132],"complete":[134],"frame":[135],"synchronization":[136],"established":[138],"from":[142],"waveform":[144],"analysis":[145],"to":[146]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}