{"id":"https://openalex.org/W2919849250","doi":"https://doi.org/10.1109/tencon.2018.8650444","title":"Acoustic Event Classification Using Spectrogram Features","display_name":"Acoustic Event Classification Using Spectrogram Features","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2919849250","doi":"https://doi.org/10.1109/tencon.2018.8650444","mag":"2919849250"},"language":"en","primary_location":{"id":"doi:10.1109/tencon.2018.8650444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2018.8650444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2018 - 2018 IEEE Region 10 Conference","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/A5053990884","display_name":"Manjunath Mulimani","orcid":"https://orcid.org/0000-0001-9927-1123"},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Manjunath Mulimani","raw_affiliation_strings":["Dept. of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, India","institution_ids":["https://openalex.org/I11880225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046622313","display_name":"Shashidhar G. Koolagudi","orcid":"https://orcid.org/0000-0002-6928-0237"},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shashidhar G. Koolagudi","raw_affiliation_strings":["Dept. of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, India","institution_ids":["https://openalex.org/I11880225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5053990884"],"corresponding_institution_ids":["https://openalex.org/I11880225"],"apc_list":null,"apc_paid":null,"fwci":1.156,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.80666976,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"2","issue":null,"first_page":"1460","last_page":"1464"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":1.0,"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":1.0,"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":0.9975000023841858,"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/T11349","display_name":"Music Technology and Sound Studies","score":0.9839000105857849,"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/spectrogram","display_name":"Spectrogram","score":0.9762434959411621},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.8449171781539917},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7160167694091797},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7043523788452148},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6675399541854858},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6315823197364807},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6291566491127014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5074371695518494},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.49791407585144043},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.4840478301048279},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4770828187465668},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4713565707206726},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4486531913280487},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07503452897071838}],"concepts":[{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.9762434959411621},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.8449171781539917},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7160167694091797},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7043523788452148},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6675399541854858},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6315823197364807},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6291566491127014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5074371695518494},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.49791407585144043},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.4840478301048279},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4770828187465668},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4713565707206726},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4486531913280487},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07503452897071838},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon.2018.8650444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2018.8650444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2018 - 2018 IEEE Region 10 Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1972475755","https://openalex.org/W2009504845","https://openalex.org/W2015157307","https://openalex.org/W2017520141","https://openalex.org/W2069992656","https://openalex.org/W2074764925","https://openalex.org/W2090431713","https://openalex.org/W2103235956","https://openalex.org/W2119662931","https://openalex.org/W2130640900","https://openalex.org/W2141739745","https://openalex.org/W2156334159","https://openalex.org/W2400802532","https://openalex.org/W2781678745","https://openalex.org/W6683031132","https://openalex.org/W6713117434"],"related_works":["https://openalex.org/W1889291648","https://openalex.org/W2533590149","https://openalex.org/W335396218","https://openalex.org/W1504214173","https://openalex.org/W1600447354","https://openalex.org/W1589126043","https://openalex.org/W2035480840","https://openalex.org/W4317383455","https://openalex.org/W2602361891","https://openalex.org/W2548511587"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"a":[3],"new":[4,25],"feature":[5],"extraction":[6],"method":[7],"to":[8],"extract":[9],"different":[10,68],"features":[11,28,47,80],"from":[12,33,75],"the":[13,76],"spectrogram":[14,35,45],"of":[15,27,43,70],"an":[16],"audio":[17],"signal":[18],"for":[19,91],"Acoustic":[20,92],"Event":[21,93],"Classification":[22],"(AEC).":[23],"A":[24],"set":[26],"is":[29,63],"formulated":[30],"and":[31,48,56],"extracted":[32],"local":[34],"regions":[36],"named":[37],"blocks.":[38],"The":[39],"average":[40],"recognition":[41],"performance":[42,84],"proposed":[44],"based":[46],"Mel-frequency":[49,87],"cepstral":[50,88],"coefficients":[51,89],"(MFCCs)":[52,90],"with":[53],"their":[54],"deltas":[55],"accelerations":[57],"on":[58],"Support":[59],"Vector":[60],"Machines":[61],"(SVM)":[62],"compared.":[64],"In":[65],"this":[66],"work,":[67],"categories":[69],"acoustic":[71],"events":[72],"are":[73],"considered":[74],"Freiburg-106":[77],"dataset.":[78],"Proposed":[79],"show":[81],"significantly":[82],"improved":[83],"over":[85],"conventional":[86],"Classification.":[94]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
