{"id":"https://openalex.org/W1985303686","doi":"https://doi.org/10.1145/1401890.1401924","title":"SPIRAL","display_name":"SPIRAL","publication_year":2008,"publication_date":"2008-08-24","ids":{"openalex":"https://openalex.org/W1985303686","doi":"https://doi.org/10.1145/1401890.1401924","mag":"1985303686"},"language":"en","primary_location":{"id":"doi:10.1145/1401890.1401924","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1401890.1401924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining","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/A5101917967","display_name":"Yasuhiro Fujiwara","orcid":"https://orcid.org/0000-0001-9578-1118"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yasuhiro Fujiwara","raw_affiliation_strings":["NTT Cyber Space Laboratories, Yokosuka-Shi, Japan","NTT Cyber Space Laboratories, Yokosuka-Shi, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"NTT Cyber Space Laboratories, Yokosuka-Shi, Japan","institution_ids":[]},{"raw_affiliation_string":"NTT Cyber Space Laboratories, Yokosuka-Shi, Japan#TAB#","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089668362","display_name":"Yasushi Sakurai","orcid":"https://orcid.org/0000-0001-7258-2642"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasushi Sakurai","raw_affiliation_strings":["NTT Communication Science Laboratories, Seika-Cho, Japan","NTT Communication Science Laboratories, Seika-cho, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, Seika-Cho, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Communication Science Laboratories, Seika-cho, Japan#TAB#","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031861713","display_name":"Masashi Yamamuro","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Masashi Yamamuro","raw_affiliation_strings":["NTT Cyber Space Laboratories, Yokosuka-Shi, Japan","NTT Cyber Space Laboratories, Yokosuka-Shi, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"NTT Cyber Space Laboratories, Yokosuka-Shi, Japan","institution_ids":[]},{"raw_affiliation_string":"NTT Cyber Space Laboratories, Yokosuka-Shi, Japan#TAB#","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101917967"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1198,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.76975259,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9907000064849854,"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"}},"topics":[{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9907000064849854,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9872999787330627,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9832000136375427,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46390172839164734}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46390172839164734}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1401890.1401924","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1401890.1401924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining","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":25,"referenced_works":["https://openalex.org/W1508165687","https://openalex.org/W1548935184","https://openalex.org/W1592614241","https://openalex.org/W1884941200","https://openalex.org/W2009570821","https://openalex.org/W2013570924","https://openalex.org/W2064264510","https://openalex.org/W2095897464","https://openalex.org/W2099919278","https://openalex.org/W2105594594","https://openalex.org/W2125510930","https://openalex.org/W2129660483","https://openalex.org/W2144789800","https://openalex.org/W2159428510","https://openalex.org/W2163133745","https://openalex.org/W2165849002","https://openalex.org/W2166298137","https://openalex.org/W2167191127","https://openalex.org/W2170120894","https://openalex.org/W2171850596","https://openalex.org/W2739206525","https://openalex.org/W2978337448","https://openalex.org/W6635396241","https://openalex.org/W6678900246","https://openalex.org/W7071444332"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"Hidden":[0],"Markov":[1],"models":[2],"(HMMs)":[3],"have":[4,23],"received":[5],"considerable":[6],"attention":[7],"in":[8,38],"various":[9],"communities":[10],"(e.g,":[11],"speech":[12],"recognition,":[13],"neurology":[14],"and":[15,34],"bioinformatic)":[16],"since":[17],"many":[18],"applications":[19],"that":[20,42,101],"use":[21],"HMM":[22,65],"emerged.":[24],"The":[25,98],"goal":[26],"of":[27,78,96],"this":[28],"work":[29],"is":[30,103],"to":[31,53,92],"identify":[32],"efficiently":[33,73],"correctly":[35],"the":[36,44,48,54,69,94,110],"model":[37],"a":[39,60,75],"given":[40],"dataset":[41],"yields":[43],"state":[45],"sequence":[46],"with":[47,51],"highest":[49],"likelihood":[50],"respect":[52],"query":[55],"sequence.":[56],"We":[57,88],"propose":[58],"SPIRAL,":[59],"fast":[61],"search":[62,70,79],"method":[63],"for":[64],"datasets.":[66],"To":[67],"reduce":[68],"cost,":[71],"SPIRAL":[72,102],"prunes":[74],"significant":[76],"number":[77],"candidates":[80],"by":[81],"applying":[82],"successive":[83],"approximations":[84],"when":[85],"estimating":[86],"likelihood.":[87],"perform":[89],"several":[90],"experiments":[91],"verify":[93],"effectiveness":[95],"SPIRAL.":[97],"results":[99],"show":[100],"more":[104],"than":[105,109],"500":[106],"times":[107],"faster":[108],"naive":[111],"method.":[112]},"counts_by_year":[{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}