{"id":"https://openalex.org/W2766397045","doi":"https://doi.org/10.23919/eusipco.2017.8081521","title":"Novel TEO-based Gammatone features for environmental sound classification","display_name":"Novel TEO-based Gammatone features for environmental sound classification","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2766397045","doi":"https://doi.org/10.23919/eusipco.2017.8081521","mag":"2766397045"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2017.8081521","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2017.8081521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5042084697","display_name":"Dharmesh M. Agrawal","orcid":"https://orcid.org/0000-0003-0047-4903"},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani University","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dharmesh M. Agrawal","raw_affiliation_strings":["Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, Gujarat, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, Gujarat, India","institution_ids":["https://openalex.org/I98389781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030912143","display_name":"Hardik B. Sailor","orcid":"https://orcid.org/0000-0001-6872-5153"},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani University","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Hardik B. Sailor","raw_affiliation_strings":["Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, Gujarat, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, Gujarat, India","institution_ids":["https://openalex.org/I98389781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003062385","display_name":"Meet Soni","orcid":null},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani University","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Meet H. Soni","raw_affiliation_strings":["Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, Gujarat, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, Gujarat, India","institution_ids":["https://openalex.org/I98389781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043002276","display_name":"Hemant A. Patil","orcid":"https://orcid.org/0000-0002-4068-2005"},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani University","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Hemant A. Patil","raw_affiliation_strings":["Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, Gujarat, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, Gujarat, India","institution_ids":["https://openalex.org/I98389781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98389781"],"apc_list":null,"apc_paid":null,"fwci":4.3693,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.96082858,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1809","last_page":"1813"},"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":0.9994999766349792,"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/T11665","display_name":"Animal Vocal Communication and Behavior","score":0.9811999797821045,"subfield":{"id":"https://openalex.org/subfields/1309","display_name":"Developmental 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"}}],"keywords":[{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.942043662071228},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.6695830225944519},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6199344396591187},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6090365052223206},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.581506609916687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5435502529144287},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4982912540435791},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47228819131851196},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.4247703552246094},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3965703845024109},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18213269114494324},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09306931495666504},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07250562310218811}],"concepts":[{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.942043662071228},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.6695830225944519},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6199344396591187},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6090365052223206},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.581506609916687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5435502529144287},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4982912540435791},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47228819131851196},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.4247703552246094},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3965703845024109},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18213269114494324},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09306931495666504},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07250562310218811}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco.2017.8081521","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2017.8081521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1496704041","https://openalex.org/W1511170870","https://openalex.org/W1536822605","https://openalex.org/W1538482441","https://openalex.org/W1650531274","https://openalex.org/W1972567154","https://openalex.org/W1972950801","https://openalex.org/W1978274651","https://openalex.org/W1984541135","https://openalex.org/W1992475611","https://openalex.org/W2008415856","https://openalex.org/W2009150118","https://openalex.org/W2037976268","https://openalex.org/W2038484192","https://openalex.org/W2048174296","https://openalex.org/W2050758723","https://openalex.org/W2052666245","https://openalex.org/W2074953333","https://openalex.org/W2077804127","https://openalex.org/W2103235956","https://openalex.org/W2107516612","https://openalex.org/W2113278353","https://openalex.org/W2119662931","https://openalex.org/W2130640900","https://openalex.org/W2154252319","https://openalex.org/W2157000920","https://openalex.org/W2161025448","https://openalex.org/W2211849486","https://openalex.org/W2232894815","https://openalex.org/W2292996718","https://openalex.org/W2362520863","https://openalex.org/W2403172465","https://openalex.org/W2901908104","https://openalex.org/W3098357269","https://openalex.org/W3103385400","https://openalex.org/W6756915875","https://openalex.org/W6785157504"],"related_works":["https://openalex.org/W2018086531","https://openalex.org/W1980297060","https://openalex.org/W2766680336","https://openalex.org/W2133320490","https://openalex.org/W2387604097","https://openalex.org/W4289830142","https://openalex.org/W2373675101","https://openalex.org/W3150393935","https://openalex.org/W1497065097","https://openalex.org/W2125446021"],"abstract_inverted_index":{"In":[0,65],"this":[1],"paper,":[2],"we":[3,69,83],"propose":[4],"to":[5],"use":[6],"modified":[7],"Gammatone":[8,72,125,141,201,209,241],"filterbank":[9,73,227],"with":[10,118,149,179],"Teager":[11],"Energy":[12],"Operator":[13],"(TEO)":[14],"for":[15,40],"environmental":[16,57],"sound":[17],"classification":[18,161,191,223],"(ESC)":[19],"task.":[20,251],"TEO":[21,37],"can":[22],"track":[23],"energy":[24,42],"as":[25],"a":[26,51],"function":[27],"of":[28,33,78,154,184,200,216],"both":[29],"amplitude":[30,61],"and":[31,62,96,112,124,145,157,175,187,205,219,232],"frequency":[32,63],"an":[34],"audio":[35],"signal.":[36],"is":[38,48,247],"better":[39],"capturing":[41],"variations":[43],"in":[44,129,160,190,222,249],"the":[45,138,172,197,206],"signal":[46],"that":[47,59,238],"produced":[49],"by":[50],"real":[52],"physical":[53],"system,":[54],"such":[55],"as,":[56],"sounds":[58],"contain":[60,243],"modulations.":[64],"proposed":[66,139,173,207,239],"feature":[67],"set,":[68],"have":[70,84],"used":[71,85,132],"since":[74],"it":[75],"represents":[76],"characteristics":[77],"human":[79],"auditory":[80],"processing.":[81],"Here,":[82],"two":[86,108],"classifiers,":[87],"namely,":[88,110],"Gaussian":[89],"Mixture":[90],"Model":[91],"(GMM)":[92],"using":[93,101],"cepstral":[94,121,126],"features,":[95],"Convolutional":[97],"Neural":[98],"Network":[99],"(CNN)":[100],"spectral":[102,202,210],"features.":[103],"We":[104,114],"performed":[105],"experiments":[106],"on":[107,165,169,230],"datasets,":[109,234],"ESC-50,":[111],"UrbanSound8K.":[113],"compared":[115],"TEO-based":[116,140,208,240],"coefficients":[117,122,127,211],"Mel":[119,226],"filter":[120],"(MFCC)":[123],"(GTCC),":[128],"which":[130,246],"GTCC":[131,180],"mean":[133],"square":[134],"energy.":[135],"Using":[136,195],"GMM,":[137],"Cepstral":[142],"Coefficients":[143],"(TEO-GTCC),":[144],"its":[146,176],"score-level":[147,177,198],"fusion":[148,178,199],"MFCC":[150,164],"gave":[151,181,213],"absolute":[152,182,214],"improvement":[153,183,215],"0.45":[155],"%,":[156,186,218],"3.85":[158],"%":[159,189,221],"accuracy":[162,192,224],"over":[163,193,225],"ESC-50":[166,231],"dataset.":[167],"Similarly,":[168],"UrbanSound8K":[170],"dataset":[171],"TEO-GTCC,":[174],"1.40":[185],"2.44":[188],"MFCC.":[194],"CNN,":[196],"coefficient":[203],"(GTSC)":[204],"(TEO-GTSC)":[212],"14.10":[217],"14.52":[220],"energies":[228],"(FBE)":[229],"UrbanSond8K":[233],"respectively.":[235],"This":[236],"shows":[237],"features":[242],"complementary":[244],"information":[245],"helpful":[248],"ESC":[250]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}