{"id":"https://openalex.org/W3177013509","doi":"https://doi.org/10.1109/i2mtc50364.2021.9459942","title":"Chaos Game Representation of Audio Signals","display_name":"Chaos Game Representation of Audio Signals","publication_year":2021,"publication_date":"2021-05-17","ids":{"openalex":"https://openalex.org/W3177013509","doi":"https://doi.org/10.1109/i2mtc50364.2021.9459942","mag":"3177013509"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc50364.2021.9459942","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc50364.2021.9459942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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/A5046430600","display_name":"Madison Cohen-McFarlane","orcid":"https://orcid.org/0000-0001-8587-613X"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Madison Cohen-McFarlane","raw_affiliation_strings":["Systems & Computer Engineering, Institute of Data Science, Carleton University, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"Systems & Computer Engineering, Institute of Data Science, Carleton University, Ottawa, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016923656","display_name":"Kevin Dick","orcid":"https://orcid.org/0000-0003-3931-523X"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kevin Dick","raw_affiliation_strings":["Systems & Computer Engineering, Institute of Data Science, Carleton University, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"Systems & Computer Engineering, Institute of Data Science, Carleton University, Ottawa, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078223816","display_name":"James R. Green","orcid":"https://orcid.org/0000-0002-6039-2355"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"James R. Green","raw_affiliation_strings":["Systems & Computer Engineering, Institute of Data Science, Carleton University, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"Systems & Computer Engineering, Institute of Data Science, Carleton University, Ottawa, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017668310","display_name":"Rafik Goubran","orcid":"https://orcid.org/0000-0003-4087-416X"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Rafik Goubran","raw_affiliation_strings":["Systems & Computer Engineering, Institute of Data Science, Carleton University, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"Systems & Computer Engineering, Institute of Data Science, Carleton University, Ottawa, Canada","institution_ids":["https://openalex.org/I67031392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5046430600"],"corresponding_institution_ids":["https://openalex.org/I67031392"],"apc_list":null,"apc_paid":null,"fwci":0.1524,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42542258,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9897000193595886,"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":0.9897000193595886,"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9829999804496765,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9815000295639038,"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/computer-science","display_name":"Computer science","score":0.7515689134597778},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7069095373153687},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5667396783828735},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.5593875646591187},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5011379718780518},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4600200057029724},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44735538959503174},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40361323952674866},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.3719360828399658},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2725444436073303}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7515689134597778},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7069095373153687},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5667396783828735},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.5593875646591187},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5011379718780518},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4600200057029724},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44735538959503174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40361323952674866},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.3719360828399658},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2725444436073303},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc50364.2021.9459942","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc50364.2021.9459942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.6399999856948853}],"awards":[],"funders":[{"id":"https://openalex.org/F4320312535","display_name":"AGE-WELL","ror":null},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W63205753","https://openalex.org/W1518734375","https://openalex.org/W1597349997","https://openalex.org/W1974446076","https://openalex.org/W1975776567","https://openalex.org/W2002381890","https://openalex.org/W2050047352","https://openalex.org/W2055438151","https://openalex.org/W2075903963","https://openalex.org/W2096241981","https://openalex.org/W2112865359","https://openalex.org/W2116894522","https://openalex.org/W2129103781","https://openalex.org/W2130045423","https://openalex.org/W2136207028","https://openalex.org/W2142820168","https://openalex.org/W2150235334","https://openalex.org/W2751841560","https://openalex.org/W2884535146","https://openalex.org/W2952003418","https://openalex.org/W2963906190","https://openalex.org/W3041259429","https://openalex.org/W3068613985","https://openalex.org/W3115881671","https://openalex.org/W4206458399","https://openalex.org/W6602537958","https://openalex.org/W6753583920"],"related_works":["https://openalex.org/W2068608913","https://openalex.org/W3124914020","https://openalex.org/W2141033859","https://openalex.org/W2077542787","https://openalex.org/W2156434174","https://openalex.org/W2071701083","https://openalex.org/W2383687187","https://openalex.org/W2109142991","https://openalex.org/W1781713806","https://openalex.org/W2350061705"],"abstract_inverted_index":{"Audio":[0,31],"measurements":[1,67,156,166],"are":[2],"fundamental":[3],"to":[4,11,37,57,68,137],"daily":[5],"life":[6],"and":[7,27,42,62,74,81,144,163,185],"have":[8,34],"been":[9,35],"used":[10],"perform":[12],"a":[13,46,121],"variety":[14],"of":[15,20,45,83,89,92,124,171],"tasks":[16],"including":[17],"the":[18,40,79,90,101,110,113,125,134,178,181],"classification":[19,201],"human":[21],"sounds":[22],"(e.g.":[23],"talking":[24],"or":[25],"coughing)":[26],"environmental":[28],"acoustic":[29],"monitoring.":[30],"visualization":[32,72],"methods":[33,73],"introduced":[36],"represent":[38],"both":[39,142],"time-":[41],"frequency-domain":[43],"information":[44],"recording.":[47],"In":[48],"this":[49],"paper":[50],"we":[51,99],"introduce":[52],"Chaos":[53,135],"Game":[54,136],"Representation":[55],"(CGR)":[56],"investigate":[58],"possible":[59,76],"reoccurring":[60],"local":[61,143],"global":[63,145],"patterns":[64,174],"within":[65,94],"audio":[66,71,116,130,155,165,183,200],"supplement":[69],"current":[70],"for":[75,112,132,152,195,199],"use":[77],"in":[78],"training":[80,196],"evaluation":[82],"learning":[84],"algorithms.":[85],"A":[86,169],"major":[87],"challenge":[88],"application":[91],"CGR":[93,117,188],"audio-space":[95],"is":[96,175],"quantization.":[97],"Here,":[98],"leverage":[100],"non-uniform":[102],"\u03bc-law":[103],"(":[104],"\u03bc":[105],"=":[106],"255)":[107],"quantization":[108],"as":[109],"basis":[111],"first":[114],"quantized":[115,126],"representation.":[118],"We":[119],"propose":[120],"256-nodal":[122],"arrangement":[123],"states":[127],"from":[128,167],"an":[129],"measurement":[131],"playing":[133],"generate":[138],"visualizations":[139],"that":[140],"capture":[141],"sequential":[146],"time-series":[147,182],"information.":[148],"CGRs":[149],"were":[150],"generated":[151],"287,756":[153],"individual":[154],"(pure":[157],"sinusoids,":[158],"linear":[159],"&":[160],"quadratic":[161],"chirps,":[162],"ambient":[164],"DCASE2018).":[168],"typology":[170],"visually":[172],"observable":[173],"discussed":[176],"describing":[177],"relationship":[179],"between":[180],"signal":[184],"their":[186],"resulting":[187],"visualizations.":[189],"These":[190],"images":[191],"may":[192],"be":[193],"leveraged":[194],"image-based":[197],"classifiers":[198],"tasks.":[202]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}