{"id":"https://openalex.org/W2079138277","doi":"https://doi.org/10.1109/newcas.2013.6573655","title":"Recognition of blowing sound types for real-time implementation in mobile devices","display_name":"Recognition of blowing sound types for real-time implementation in mobile devices","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2079138277","doi":"https://doi.org/10.1109/newcas.2013.6573655","mag":"2079138277"},"language":"en","primary_location":{"id":"doi:10.1109/newcas.2013.6573655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/newcas.2013.6573655","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 11th International New Circuits and Systems Conference (NEWCAS)","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/A5030861649","display_name":"Marc\u2010Andr\u00e9 Carbonneau","orcid":"https://orcid.org/0000-0002-0677-415X"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Marc-Andre Carbonneau","raw_affiliation_strings":["Department of Electrical Engineering, \u00c9cole de Technologie Sup\u00e9rieure, Montreal, Canada","Dept. of Electr. Eng., Ecole De Technol. Super., Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, \u00c9cole de Technologie Sup\u00e9rieure, Montreal, Canada","institution_ids":["https://openalex.org/I9736820"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Ecole De Technol. Super., Montreal, QC, Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004763968","display_name":"Ghyslain Gagnon","orcid":"https://orcid.org/0000-0001-9484-7218"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ghyslain Gagnon","raw_affiliation_strings":["Department of Electrical Engineering, \u00c9cole de Technologie Sup\u00e9rieure, Montreal, Canada","Dept. of Electr. Eng., Ecole De Technol. Super., Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, \u00c9cole de Technologie Sup\u00e9rieure, Montreal, Canada","institution_ids":["https://openalex.org/I9736820"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Ecole De Technol. Super., Montreal, QC, Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026340083","display_name":"Robert Sabourin","orcid":"https://orcid.org/0000-0002-9098-1011"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Robert Sabourin","raw_affiliation_strings":["Department of Electrical Engineering, \u00c9cole de Technologie Sup\u00e9rieure, Montreal, Canada","Dept. of Electr. Eng., Ecole De Technol. Super., Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, \u00c9cole de Technologie Sup\u00e9rieure, Montreal, Canada","institution_ids":["https://openalex.org/I9736820"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Ecole De Technol. Super., Montreal, QC, Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110432801","display_name":"Jean Dubois","orcid":null},"institutions":[{"id":"https://openalex.org/I29607241","display_name":"\u00c9cole Normale Sup\u00e9rieure - PSL","ror":"https://ror.org/05a0dhs15","country_code":"FR","type":"funder","lineage":["https://openalex.org/I2746051580","https://openalex.org/I29607241"]},{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]}],"countries":["CA","FR"],"is_corresponding":false,"raw_author_name":"Jean Dubois","raw_affiliation_strings":["\u00c9cole des arts visuels et m\u00e9diatiques, Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al, Montreal, Canada","Ecole des Arts Visuels et Mediatiques, Univ. du Quebec a Montreal, Montre\u0301al, QC, Canada"],"affiliations":[{"raw_affiliation_string":"\u00c9cole des arts visuels et m\u00e9diatiques, Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al, Montreal, Canada","institution_ids":["https://openalex.org/I159129438"]},{"raw_affiliation_string":"Ecole des Arts Visuels et Mediatiques, Univ. du Quebec a Montreal, Montre\u0301al, QC, Canada","institution_ids":["https://openalex.org/I29607241","https://openalex.org/I159129438"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5030861649"],"corresponding_institution_ids":["https://openalex.org/I9736820"],"apc_list":null,"apc_paid":null,"fwci":0.3192,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59066417,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"13","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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":0.996399998664856,"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/computer-science","display_name":"Computer science","score":0.7393286824226379},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.648306131362915},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6249017715454102},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5664321780204773},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.5539631843566895},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5497933626174927},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5488985180854797},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.4986083507537842},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4812581241130829},{"id":"https://openalex.org/keywords/low-latency","display_name":"Low latency (capital markets)","score":0.4579675495624542},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4438553750514984},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.12450888752937317},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11316588521003723}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7393286824226379},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.648306131362915},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6249017715454102},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5664321780204773},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.5539631843566895},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5497933626174927},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5488985180854797},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.4986083507537842},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4812581241130829},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.4579675495624542},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4438553750514984},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.12450888752937317},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11316588521003723},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/newcas.2013.6573655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/newcas.2013.6573655","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 11th International New Circuits and Systems Conference (NEWCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W181056519","https://openalex.org/W204144752","https://openalex.org/W1482620422","https://openalex.org/W1508249674","https://openalex.org/W1544215838","https://openalex.org/W1996160964","https://openalex.org/W2032026767","https://openalex.org/W2048127514","https://openalex.org/W2058189943","https://openalex.org/W2121423746","https://openalex.org/W2130640900","https://openalex.org/W2137343183","https://openalex.org/W2140785063","https://openalex.org/W2156468046","https://openalex.org/W2158230438","https://openalex.org/W2165313956","https://openalex.org/W2404666544","https://openalex.org/W4206319965","https://openalex.org/W6665314674","https://openalex.org/W6713411369"],"related_works":["https://openalex.org/W2381926679","https://openalex.org/W3205411230","https://openalex.org/W4286899009","https://openalex.org/W9168048","https://openalex.org/W4300849822","https://openalex.org/W4376480820","https://openalex.org/W3155891479","https://openalex.org/W3029351463","https://openalex.org/W2885352820","https://openalex.org/W4296591952"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,33,48,77],"system":[4,25],"to":[5,22,62],"recognize":[6],"and":[7,47,92],"classify":[8],"sounds":[9],"produced":[10],"by":[11,16,76],"human":[12],"subjects":[13],"blowing":[14,69],"air":[15],"the":[17,24,63],"mouth.":[18],"The":[19,72,81],"objective":[20],"is":[21,37,74],"implement":[23],"for":[26],"fast":[27],"recognition":[28,67,98],"using":[29,39],"low-complexity":[30],"algorithms":[31],"in":[32,86],"low-budget":[34],"processor.":[35],"Recognition":[36],"achieved":[38,75],"tailored":[40],"band":[41],"energy":[42],"ratios,":[43],"modified":[44],"frequency":[45],"centroid":[46],"periodicity":[49],"test":[50,94],"based":[51],"on":[52],"spectrum":[53],"autocorrelation.":[54],"These":[55],"lightweight":[56],"feature":[57],"extraction":[58],"techniques":[59],"are":[60],"adapted":[61],"particular":[64],"task":[65],"of":[66,68],"sound":[70],"types.":[71],"classification":[73],"naive":[78],"Bayes":[79],"classifier.":[80],"algorithm":[82],"can":[83],"be":[84],"implemented":[85],"real-time":[87],"(latency":[88],"\u2264":[89],"100":[90],"ms)":[91],"experimental":[93],"results":[95],"show":[96],"average":[97],"rates":[99],"over":[100],"94":[101],"%.":[102]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
