{"id":"https://openalex.org/W3139963442","doi":"https://doi.org/10.15439/2016f518","title":"Using formant frequencies to word detection in recorded speech","display_name":"Using formant frequencies to word detection in recorded speech","publication_year":2016,"publication_date":"2016-10-02","ids":{"openalex":"https://openalex.org/W3139963442","doi":"https://doi.org/10.15439/2016f518","mag":"3139963442"},"language":"en","primary_location":{"id":"doi:10.15439/2016f518","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2016f518","pdf_url":"https://annals-csis.org/proceedings/2016/pliks/518.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://annals-csis.org/proceedings/2016/pliks/518.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024528365","display_name":"\u0141ukasz Laszko","orcid":"https://orcid.org/0000-0002-4321-1428"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"\u0141ukasz Laszko","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5024528365"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8401,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8403647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"8","issue":null,"first_page":"797","last_page":"801"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9975000023841858,"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":0.9975000023841858,"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":0.980400025844574,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9801999926567078,"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/formant","display_name":"Formant","score":0.9185110330581665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7657680511474609},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.7576377391815186},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6902353763580322},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.6222838163375854},{"id":"https://openalex.org/keywords/keyword-spotting","display_name":"Keyword spotting","score":0.606762170791626},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6048101782798767},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5621086359024048},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.49665457010269165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48579859733581543},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4660913050174713},{"id":"https://openalex.org/keywords/longest-common-subsequence-problem","display_name":"Longest common subsequence problem","score":0.4495406150817871},{"id":"https://openalex.org/keywords/subsequence","display_name":"Subsequence","score":0.41271644830703735},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.37339019775390625},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20835518836975098},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15487387776374817},{"id":"https://openalex.org/keywords/vowel","display_name":"Vowel","score":0.07733216881752014}],"concepts":[{"id":"https://openalex.org/C158215666","wikidata":"https://www.wikidata.org/wiki/Q1414685","display_name":"Formant","level":3,"score":0.9185110330581665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7657680511474609},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.7576377391815186},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6902353763580322},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.6222838163375854},{"id":"https://openalex.org/C2781213101","wikidata":"https://www.wikidata.org/wiki/Q6398558","display_name":"Keyword spotting","level":2,"score":0.606762170791626},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6048101782798767},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5621086359024048},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.49665457010269165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48579859733581543},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4660913050174713},{"id":"https://openalex.org/C120098539","wikidata":"https://www.wikidata.org/wiki/Q141001","display_name":"Longest common subsequence problem","level":2,"score":0.4495406150817871},{"id":"https://openalex.org/C137877099","wikidata":"https://www.wikidata.org/wiki/Q1332977","display_name":"Subsequence","level":3,"score":0.41271644830703735},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.37339019775390625},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20835518836975098},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15487387776374817},{"id":"https://openalex.org/C2779581591","wikidata":"https://www.wikidata.org/wiki/Q36244","display_name":"Vowel","level":2,"score":0.07733216881752014},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.15439/2016f518","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2016f518","pdf_url":"https://annals-csis.org/proceedings/2016/pliks/518.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:doaj.org/article:df9c5d78e02b40bf9a9f33b39a8c9d49","is_oa":true,"landing_page_url":"https://doaj.org/article/df9c5d78e02b40bf9a9f33b39a8c9d49","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Annals of computer science and information systems, Vol 8, Pp 797-801 (2016)","raw_type":"article"},{"id":"mag:2526081872","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/fedcsis/fedcsis2016.html#Laszko16","pdf_url":null,"source":{"id":"https://openalex.org/S4306418416","display_name":"Federated Conference on Computer Science and Information Systems","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Federated Conference on Computer Science and Information Systems","raw_type":null}],"best_oa_location":{"id":"doi:10.15439/2016f518","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2016f518","pdf_url":"https://annals-csis.org/proceedings/2016/pliks/518.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3139963442.pdf","grobid_xml":"https://content.openalex.org/works/W3139963442.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W152459128","https://openalex.org/W1854793412","https://openalex.org/W1928758465","https://openalex.org/W1935161994","https://openalex.org/W1965664780","https://openalex.org/W2057988456","https://openalex.org/W2090147282","https://openalex.org/W2093509768","https://openalex.org/W2098885262","https://openalex.org/W2114347655","https://openalex.org/W2161025320","https://openalex.org/W3151268685","https://openalex.org/W4236712171","https://openalex.org/W6647948098"],"related_works":["https://openalex.org/W2335896301","https://openalex.org/W2012393389","https://openalex.org/W4391266561","https://openalex.org/W3027372070","https://openalex.org/W2333240621","https://openalex.org/W2137764249","https://openalex.org/W25732909","https://openalex.org/W2554075302","https://openalex.org/W4323338832","https://openalex.org/W1964543066"],"abstract_inverted_index":{"The":[0,15,40,73,115],"paper":[1],"considers":[2],"increasing":[3],"the":[4,69,95,102,121],"precision":[5,128],"of":[6,8,23,42,49,68,111,117,123],"detection":[7,74,127],"words":[9],"in":[10,94],"unsupervised":[11],"keyword":[12],"spotting":[13],"method.":[14],"method":[16,77],"is":[17],"based":[18,78],"on":[19,79],"examining":[20],"signal":[21,84],"similarity":[22,85],"two":[24],"analyzed":[25],"media":[26,43,71],"description:":[27],"registered":[28],"voice":[29],"and":[30,86,107],"a":[31,47],"word":[32],"(textual":[33],"query)":[34],"synthesized":[35],"by":[36,46,97,129],"using":[37,101],"Text-to-Speech":[38],"tools.":[39],"descriptions":[41],"were":[44,92],"given":[45,70],"sequence":[48],"Mel-Frequency":[50],"Cepstral":[51,55],"Coefficients":[52],"or":[53],"Human-Factor":[54],"Coefficients.":[56],"Dynamic":[57],"Time":[58],"Warping":[59],"algorithm":[60,96,106],"has":[61],"been":[62],"applied":[63],"to":[64,134],"provide":[65],"time":[66],"alignment":[67,87],"descriptions.":[72],"involved":[75],"classification":[76],"cost":[80],"function,":[81],"calculated":[82],"upon":[83],"path.":[88],"Potential":[89],"false":[90],"matches":[91],"eliminated":[93],"applying":[98],"two-staged":[99],"verification,":[100],"Longest":[103],"Common":[104],"Subsequence":[105],"analyzing":[108],"formant":[109,118],"frequencies":[110,119],"eleven":[112],"English":[113],"monophthons.":[114],"use":[116],"at":[120],"stage":[122],"verification":[124],"increased":[125],"overall":[126],"about":[130],"10%":[131],"as":[132],"compared":[133],"original":[135],"algorithm.":[136]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}