{"id":"https://openalex.org/W2903079774","doi":"https://doi.org/10.23919/eusipco.2018.8553178","title":"\u201cWhat are You Listening to?\u201d Explaining Predictions of Deep Machine Listening Systems","display_name":"\u201cWhat are You Listening to?\u201d Explaining Predictions of Deep Machine Listening Systems","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2903079774","doi":"https://doi.org/10.23919/eusipco.2018.8553178","mag":"2903079774"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2018.8553178","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/59697/2/Dixon%20What%20are%20you%202019%20Accepted.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112401444","display_name":"Saumitra Mishra","orcid":null},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Saumitra Mishra","raw_affiliation_strings":["Science Queen Mary, University of London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Science Queen Mary, University of London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054217723","display_name":"Bob L. Sturm","orcid":"https://orcid.org/0000-0003-2549-6367"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bob L. Sturm","raw_affiliation_strings":["Science Queen Mary, University of London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Science Queen Mary, University of London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077484271","display_name":"Simon Dixon","orcid":"https://orcid.org/0000-0002-6098-481X"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Simon Dixon","raw_affiliation_strings":["Science Queen Mary, University of London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Science Queen Mary, University of London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112401444"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":0.8461,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81125797,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2260","last_page":"2264"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9961000084877014,"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"}},"topics":[{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9961000084877014,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.992900013923645,"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"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.989799976348877,"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":0.7687888145446777},{"id":"https://openalex.org/keywords/active-listening","display_name":"Active listening","score":0.7030069828033447},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6526533365249634},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.5616874694824219},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5543816089630127},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5003955364227295},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.49487513303756714},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.46594133973121643},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.4630681574344635},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4502533972263336},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4306963086128235},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4277968108654022},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.41383129358291626},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4099375903606415},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3210626244544983},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07947942614555359}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7687888145446777},{"id":"https://openalex.org/C177291462","wikidata":"https://www.wikidata.org/wiki/Q423038","display_name":"Active listening","level":2,"score":0.7030069828033447},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6526533365249634},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.5616874694824219},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5543816089630127},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5003955364227295},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.49487513303756714},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.46594133973121643},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.4630681574344635},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4502533972263336},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4306963086128235},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4277968108654022},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.41383129358291626},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4099375903606415},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3210626244544983},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07947942614555359},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/eusipco.2018.8553178","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/59697","is_oa":true,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/59697","pdf_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/59697/2/Dixon%20What%20are%20you%202019%20Accepted.pdf","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/59697","is_oa":true,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/59697","pdf_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/59697/2/Dixon%20What%20are%20you%202019%20Accepted.pdf","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2903079774.pdf","grobid_xml":"https://content.openalex.org/works/W2903079774.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1583001605","https://openalex.org/W1673923490","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1849277567","https://openalex.org/W1893585201","https://openalex.org/W1915485278","https://openalex.org/W1932198206","https://openalex.org/W2007664495","https://openalex.org/W2098796164","https://openalex.org/W2123045220","https://openalex.org/W2163605009","https://openalex.org/W2240067561","https://openalex.org/W2253993278","https://openalex.org/W2273818272","https://openalex.org/W2282821441","https://openalex.org/W2293137601","https://openalex.org/W2406222150","https://openalex.org/W2461724944","https://openalex.org/W2594475271","https://openalex.org/W2626639386","https://openalex.org/W2657631929","https://openalex.org/W2766047647","https://openalex.org/W2772984056","https://openalex.org/W2919115771","https://openalex.org/W2962835968","https://openalex.org/W2962851944","https://openalex.org/W2963382180","https://openalex.org/W2963989815","https://openalex.org/W2964121744","https://openalex.org/W2964153729","https://openalex.org/W4229494842","https://openalex.org/W4293861706","https://openalex.org/W6631190155","https://openalex.org/W6637162671","https://openalex.org/W6637373629","https://openalex.org/W6677995690","https://openalex.org/W6684191040","https://openalex.org/W6685133223","https://openalex.org/W6689886725","https://openalex.org/W6694559427","https://openalex.org/W6697162658","https://openalex.org/W6739575509","https://openalex.org/W6746228475"],"related_works":["https://openalex.org/W2475724061","https://openalex.org/W2773393136","https://openalex.org/W2174706483","https://openalex.org/W2997121352","https://openalex.org/W419536403","https://openalex.org/W2506280730","https://openalex.org/W4237969969","https://openalex.org/W1594297642","https://openalex.org/W2366328218","https://openalex.org/W2509366663"],"abstract_inverted_index":{"Researchers":[0],"have":[1],"proposed":[2],"methods":[3,39],"to":[4,41,51,83,96],"explain":[5],"neural":[6],"network":[7],"predictions":[8],"by":[9],"building":[10],"explanations":[11,61,116],"either":[12],"in":[13,20,24,62,87],"terms":[14,25,63],"of":[15,26,35,45,64,113,133],"input":[16,27,65,89,135],"components":[17],"(e.g.,":[18,29],"pixels":[19],"an":[21,88,134],"image)":[22],"or":[23],"regions":[28,66],"the":[30,33,43,111,114,126,143],"area":[31],"containing":[32],"face":[34],"a":[36,46,76,85,97,103,131,139],"Labrador).":[37],"Such":[38],"aim":[40],"determine":[42],"trustworthiness":[44],"model,":[47],"as":[48,50],"well":[49],"guide":[52],"its":[53],"improvement.":[54],"In":[55],"this":[56],"paper,":[57],"we":[58],"argue":[59],"that":[60,92,125,137],"are":[67],"useful":[68],"for":[69,102],"analysing":[70],"machine":[71],"listening":[72],"systems.":[73],"We":[74,99,109],"introduce":[75],"novel":[77],"method":[78,128],"based":[79],"on":[80,117,142],"feature":[81],"inversion":[82],"identify":[84],"region":[86,132],"time-frequency":[90],"representation":[91],"is":[93],"most":[94],"influential":[95],"prediction.":[98],"demonstrate":[100,124],"it":[101],"state-of-the-art":[104],"singing":[105],"voice":[106],"detection":[107],"model.":[108],"evaluate":[110],"quality":[112],"generated":[115],"two":[118],"public":[119],"benchmark":[120],"datasets.":[121],"The":[122],"results":[123],"presented":[127],"often":[129],"identifies":[130],"instance":[136],"has":[138],"decisive":[140],"effect":[141],"classification.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
