{"id":"https://openalex.org/W1543347903","doi":"https://doi.org/10.1109/icassp.2015.7177955","title":"Combining robust spike coding with spiking neural networks for sound event classification","display_name":"Combining robust spike coding with spiking neural networks for sound event classification","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1543347903","doi":"https://doi.org/10.1109/icassp.2015.7177955","mag":"1543347903"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2015.7177955","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7177955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5070417199","display_name":"Jonathan Dennis","orcid":null},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jonathan Dennis","raw_affiliation_strings":["Institute for Infocomm Research, A*STAR, Singapore","Institute for Infocomm Research, A\u2217STAR 1 Fusionopolis Way, Singapore 138632"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, A*STAR, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]},{"raw_affiliation_string":"Institute for Infocomm Research, A\u2217STAR 1 Fusionopolis Way, Singapore 138632","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110125670","display_name":"Tran Huy Dat","orcid":null},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tran Huy Dat","raw_affiliation_strings":["Institute for Infocomm Research, Agency for Science Technology and Research, Singapore, SG","Institute for Infocomm Research, A\u2217STAR 1 Fusionopolis Way, Singapore 138632"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Agency for Science Technology and Research, Singapore, SG","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]},{"raw_affiliation_string":"Institute for Infocomm Research, A\u2217STAR 1 Fusionopolis Way, Singapore 138632","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032690182","display_name":"Haizhou Li","orcid":"https://orcid.org/0000-0001-9158-9401"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Haizhou Li","raw_affiliation_strings":["Institute for Infocomm Research, A*STAR, Singapore","Institute for Infocomm Research, A\u2217STAR 1 Fusionopolis Way, Singapore 138632"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, A*STAR, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]},{"raw_affiliation_string":"Institute for Infocomm Research, A\u2217STAR 1 Fusionopolis Way, Singapore 138632","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"176","last_page":"180"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9986000061035156,"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":0.9932000041007996,"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/spectrogram","display_name":"Spectrogram","score":0.9199710488319397},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.723162055015564},{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.6074817180633545},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5278406143188477},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5238173604011536},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5205722451210022},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5185661911964417},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.49722984433174133},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43942126631736755},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.4357631802558899},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4268929064273834},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18399548530578613}],"concepts":[{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.9199710488319397},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.723162055015564},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.6074817180633545},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5278406143188477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5238173604011536},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5205722451210022},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5185661911964417},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.49722984433174133},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43942126631736755},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.4357631802558899},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4268929064273834},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18399548530578613},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2015.7177955","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7177955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W22745672","https://openalex.org/W1974387177","https://openalex.org/W1987011838","https://openalex.org/W1995444699","https://openalex.org/W2046972719","https://openalex.org/W2075076415","https://openalex.org/W2102512139","https://openalex.org/W2114806403","https://openalex.org/W2115831804","https://openalex.org/W2119110418","https://openalex.org/W2119662931","https://openalex.org/W2130640900","https://openalex.org/W2165163503","https://openalex.org/W2186582651","https://openalex.org/W2245569228","https://openalex.org/W2402967400","https://openalex.org/W6647324780","https://openalex.org/W6684426735","https://openalex.org/W6690610466","https://openalex.org/W6713359473"],"related_works":["https://openalex.org/W2542565870","https://openalex.org/W4306175885","https://openalex.org/W4312604567","https://openalex.org/W4387390134","https://openalex.org/W2165312143","https://openalex.org/W4251092571","https://openalex.org/W4297619707","https://openalex.org/W2583316550","https://openalex.org/W3110622310","https://openalex.org/W3035016037"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,17,58,101,135],"novel":[4],"biologically":[5],"inspired":[6],"method":[7,90],"for":[8,128],"sound":[9,35,97,129,141],"event":[10,98,130],"classification":[11],"which":[12,103,125],"combines":[13],"spike":[14,23,76,116,149],"coding":[15,24,77,117,150],"with":[16],"spiking":[18],"neural":[19,161],"network":[20,69],"(SNN).":[21],"Our":[22],"extracts":[25],"keypoints":[26],"that":[27],"represent":[28],"the":[29,34,64,68,72,84,93,96,112,115,144,148,152,156],"local":[30,43],"maxima":[31],"components":[32],"of":[33,75,95,114,121,138,146],"spectrogram,":[36,99],"and":[37,49,155],"are":[38,52],"encoded":[39],"based":[40],"on":[41,134],"their":[42],"time-frequency":[44],"information;":[45],"hence":[46],"both":[47,147],"location":[48],"spectral":[50],"information":[51],"being":[53],"extracted.":[54],"We":[55],"then":[56],"design":[57],"modified":[59],"tempotron":[60],"SNN":[61,157],"that,":[62],"unlike":[63],"original":[65],"tempotron,":[66],"allows":[67],"to":[70,83],"learn":[71],"temporal":[73,123],"distributions":[74],"input,":[78],"in":[79,119],"an":[80],"analogous":[81],"way":[82],"generalized":[85],"Hough":[86],"transform.":[87],"The":[88],"proposed":[89],"simultaneously":[91],"enhances":[92],"sparsity":[94],"producing":[100],"representation":[102],"is":[104,126],"robust":[105],"against":[106],"noise,":[107],"as":[108,110],"well":[109],"maximises":[111],"discriminability":[113],"input":[118],"terms":[120],"its":[122],"information,":[124],"important":[127],"classification.":[131],"Experimental":[132],"results":[133],"large":[136],"dataset":[137],"50":[139],"environment":[140],"events":[142],"show":[143],"superiority":[145],"versus":[151,158],"raw":[153],"spectrogram":[154],"conventional":[159],"cross-entropy":[160],"networks.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}