{"id":"https://openalex.org/W2997340076","doi":"https://doi.org/10.1109/waspaa.2019.8937282","title":"Acoustic Scene Classification Using Higher-Order Ambisonic Features","display_name":"Acoustic Scene Classification Using Higher-Order Ambisonic Features","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2997340076","doi":"https://doi.org/10.1109/waspaa.2019.8937282","mag":"2997340076"},"language":"en","primary_location":{"id":"doi:10.1109/waspaa.2019.8937282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/waspaa.2019.8937282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)","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/A5048189177","display_name":"Marc C. Green","orcid":null},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Marc C. Green","raw_affiliation_strings":["University of York,AudioLab,UK","AudioLab, University of York, UK"],"affiliations":[{"raw_affiliation_string":"University of York,AudioLab,UK","institution_ids":["https://openalex.org/I52099693"]},{"raw_affiliation_string":"AudioLab, University of York, UK","institution_ids":["https://openalex.org/I52099693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054490307","display_name":"Sharath Adavanne","orcid":"https://orcid.org/0000-0002-5001-6911"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Sharath Adavanne","raw_affiliation_strings":["Tampere University,Audio Research Group,Finland","Audio Research Group, Tampere University, Finland"],"affiliations":[{"raw_affiliation_string":"Tampere University,Audio Research Group,Finland","institution_ids":["https://openalex.org/I166825849"]},{"raw_affiliation_string":"Audio Research Group, Tampere University, Finland","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065212510","display_name":"Damian Murphy","orcid":"https://orcid.org/0000-0002-6676-9459"},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Damian Murphy","raw_affiliation_strings":["University of York,AudioLab,UK","AudioLab, University of York, UK"],"affiliations":[{"raw_affiliation_string":"University of York,AudioLab,UK","institution_ids":["https://openalex.org/I52099693"]},{"raw_affiliation_string":"AudioLab, University of York, UK","institution_ids":["https://openalex.org/I52099693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049691461","display_name":"Tuomas Virtanen","orcid":"https://orcid.org/0000-0002-4604-9729"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Tuomas Virtanen","raw_affiliation_strings":["Tampere University,Audio Research Group,Finland","Audio Research Group, Tampere University, Finland"],"affiliations":[{"raw_affiliation_string":"Tampere University,Audio Research Group,Finland","institution_ids":["https://openalex.org/I166825849"]},{"raw_affiliation_string":"Audio Research Group, Tampere University, Finland","institution_ids":["https://openalex.org/I166825849"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5048189177"],"corresponding_institution_ids":["https://openalex.org/I52099693"],"apc_list":null,"apc_paid":null,"fwci":0.6634,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70148521,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":"12","issue":null,"first_page":"328","last_page":"332"},"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":0.9997000098228455,"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":0.9909999966621399,"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/ambisonics","display_name":"Ambisonics","score":0.9922002553939819},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7061797380447388},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6654908061027527},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.613873302936554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6136592030525208},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5460919141769409},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4591154456138611},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4308270514011383},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4264034628868103},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09082040190696716},{"id":"https://openalex.org/keywords/loudspeaker","display_name":"Loudspeaker","score":0.06594344973564148}],"concepts":[{"id":"https://openalex.org/C47726159","wikidata":"https://www.wikidata.org/wiki/Q457547","display_name":"Ambisonics","level":3,"score":0.9922002553939819},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7061797380447388},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6654908061027527},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.613873302936554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6136592030525208},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5460919141769409},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4591154456138611},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4308270514011383},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4264034628868103},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09082040190696716},{"id":"https://openalex.org/C157138929","wikidata":"https://www.wikidata.org/wiki/Q570","display_name":"Loudspeaker","level":2,"score":0.06594344973564148},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/waspaa.2019.8937282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/waspaa.2019.8937282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1511723925","https://openalex.org/W1522301498","https://openalex.org/W1531395880","https://openalex.org/W1972009849","https://openalex.org/W1991170630","https://openalex.org/W2084196626","https://openalex.org/W2086384421","https://openalex.org/W2101234009","https://openalex.org/W2103235956","https://openalex.org/W2191779130","https://openalex.org/W2292971278","https://openalex.org/W2312756806","https://openalex.org/W2467338965","https://openalex.org/W2476509462","https://openalex.org/W2494085323","https://openalex.org/W2770337804","https://openalex.org/W2798350598","https://openalex.org/W2803568346","https://openalex.org/W2897726151","https://openalex.org/W2948859686","https://openalex.org/W2964121744","https://openalex.org/W4294620492","https://openalex.org/W6630773358","https://openalex.org/W6631190155","https://openalex.org/W6631694466","https://openalex.org/W6675354045","https://openalex.org/W6687152286","https://openalex.org/W6696935366","https://openalex.org/W6750169387","https://openalex.org/W6751812604","https://openalex.org/W6763684417"],"related_works":["https://openalex.org/W62656364","https://openalex.org/W2403497458","https://openalex.org/W4387871131","https://openalex.org/W2305368260","https://openalex.org/W3108333885","https://openalex.org/W1978521983","https://openalex.org/W3216979959","https://openalex.org/W4251115075","https://openalex.org/W2305616225","https://openalex.org/W4385225525"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,17,30],"potential":[4],"of":[5,19],"using":[6,22],"higher-order":[7,49],"Ambisonic":[8],"features":[9,27,46,61,86],"to":[10,57,63,69],"perform":[11],"acoustic":[12],"scene":[13],"classification.":[14],"We":[15],"compare":[16],"performance":[18],"systems":[20],"trained":[21],"first-order":[23,58],"and":[24,38,84],"fourth-order":[25,85],"spatial":[26],"extracted":[28,47],"from":[29,48],"EigenScape":[31],"database.":[32],"Using":[33],"both":[34],"Gaussian":[35],"mixture":[36],"model":[37],"convolutional":[39],"neural":[40],"network":[41],"classifiers,":[42],"we":[43],"show":[44],"that":[45],"Ambisonics":[50],"can":[51],"yield":[52],"increased":[53],"classification":[54,80],"accuracies":[55],"relative":[56,68],"features.":[59,72],"Diffuseness-based":[60],"seem":[62],"describe":[64],"scenes":[65],"particularly":[66],"well":[67],"direction-of-arrival":[70],"based":[71],"With":[73],"specific":[74],"feature":[75],"subsets,":[76],"however,":[77],"differences":[78],"in":[79],"accuracy":[81],"between":[82],"first":[83],"become":[87],"negligible.":[88]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}