{"id":"https://openalex.org/W4404471195","doi":"https://doi.org/10.1088/2634-4386/ad93f9","title":"DPSNN: spiking neural network for low-latency streaming speech enhancement","display_name":"DPSNN: spiking neural network for low-latency streaming speech enhancement","publication_year":2024,"publication_date":"2024-11-18","ids":{"openalex":"https://openalex.org/W4404471195","doi":"https://doi.org/10.1088/2634-4386/ad93f9"},"language":"en","primary_location":{"id":"doi:10.1088/2634-4386/ad93f9","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2634-4386/ad93f9","pdf_url":null,"source":{"id":"https://openalex.org/S4210212933","display_name":"Neuromorphic Computing and Engineering","issn_l":"2634-4386","issn":["2634-4386"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neuromorphic Computing and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1088/2634-4386/ad93f9","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101652545","display_name":"Tao Sun","orcid":"https://orcid.org/0000-0002-8967-8760"},"institutions":[{"id":"https://openalex.org/I1341640284","display_name":"Centrum Wiskunde & Informatica","ror":"https://ror.org/00x7ekv49","country_code":"NL","type":"facility","lineage":["https://openalex.org/I1341640284","https://openalex.org/I2800991832","https://openalex.org/I4405262988"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Tao Sun","raw_affiliation_strings":["Machine Learning Group, CWI, Amsterdam, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-8967-8760","affiliations":[{"raw_affiliation_string":"Machine Learning Group, CWI, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I1341640284"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005914878","display_name":"Sander M. Boht\u00e9","orcid":"https://orcid.org/0000-0002-7866-278X"},"institutions":[{"id":"https://openalex.org/I1341640284","display_name":"Centrum Wiskunde & Informatica","ror":"https://ror.org/00x7ekv49","country_code":"NL","type":"facility","lineage":["https://openalex.org/I1341640284","https://openalex.org/I2800991832","https://openalex.org/I4405262988"]},{"id":"https://openalex.org/I4210108594","display_name":"Amsterdam Neuroscience","ror":"https://ror.org/01x2d9f70","country_code":"NL","type":"facility","lineage":["https://openalex.org/I4210108594"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Sander Boht\u00e9","raw_affiliation_strings":["Cognitive and Systems Neuroscience Group, University of Amsterdam, Amsterdam, The Netherlands","Machine Learning Group, CWI, Amsterdam, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-7866-278X","affiliations":[{"raw_affiliation_string":"Cognitive and Systems Neuroscience Group, University of Amsterdam, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I4210108594"]},{"raw_affiliation_string":"Machine Learning Group, CWI, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I1341640284"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101652545"],"corresponding_institution_ids":["https://openalex.org/I1341640284"],"apc_list":{"value":2000,"currency":"GBP","value_usd":2453},"apc_paid":{"value":2000,"currency":"GBP","value_usd":2453},"fwci":2.9155,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.92238679,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"4","issue":"4","first_page":"044008","last_page":"044008"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9980000257492065,"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/T10860","display_name":"Speech and Audio Processing","score":0.9980000257492065,"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/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.9577000141143799,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9448999762535095,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6655593514442444},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6238285899162292},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5276566743850708},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5124478936195374},{"id":"https://openalex.org/keywords/low-latency","display_name":"Low latency (capital markets)","score":0.4789203405380249},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.4365270435810089},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.25624722242355347},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18663519620895386},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15448099374771118}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6655593514442444},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6238285899162292},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5276566743850708},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5124478936195374},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.4789203405380249},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.4365270435810089},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.25624722242355347},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18663519620895386},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15448099374771118}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1088/2634-4386/ad93f9","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2634-4386/ad93f9","pdf_url":null,"source":{"id":"https://openalex.org/S4210212933","display_name":"Neuromorphic Computing and Engineering","issn_l":"2634-4386","issn":["2634-4386"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neuromorphic Computing and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:31f95fa39ef549e399ae698336f82ba3","is_oa":true,"landing_page_url":"https://doaj.org/article/31f95fa39ef549e399ae698336f82ba3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Neuromorphic Computing and Engineering, Vol 4, Iss 4, p 044008 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1088/2634-4386/ad93f9","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2634-4386/ad93f9","pdf_url":null,"source":{"id":"https://openalex.org/S4210212933","display_name":"Neuromorphic Computing and Engineering","issn_l":"2634-4386","issn":["2634-4386"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neuromorphic Computing and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7059128632","display_name":null,"funder_award_id":"NWA.1292.19.298","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G8194655052","display_name":null,"funder_award_id":"7202070 \u201cHBP\u201d","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W2044893557","https://openalex.org/W2095072097","https://openalex.org/W2141998673","https://openalex.org/W2168379380","https://openalex.org/W2952218014","https://openalex.org/W2962866211","https://openalex.org/W2984844508","https://openalex.org/W3206817059","https://openalex.org/W4311187069","https://openalex.org/W4318200307","https://openalex.org/W4384153949","https://openalex.org/W6633117090","https://openalex.org/W6639824700","https://openalex.org/W6734878519","https://openalex.org/W6744762798","https://openalex.org/W6745149982","https://openalex.org/W6746567100","https://openalex.org/W6751512325","https://openalex.org/W6754107469","https://openalex.org/W6755994072","https://openalex.org/W6756251360","https://openalex.org/W6759727371","https://openalex.org/W6761206160","https://openalex.org/W6766562414","https://openalex.org/W6768815455","https://openalex.org/W6777751402","https://openalex.org/W6786237780","https://openalex.org/W6797243389","https://openalex.org/W6803444062","https://openalex.org/W6807185791","https://openalex.org/W6810523761","https://openalex.org/W6813590738","https://openalex.org/W6855663835","https://openalex.org/W6855674402","https://openalex.org/W6856625688","https://openalex.org/W6870485434"],"related_works":["https://openalex.org/W3126544799","https://openalex.org/W3104333581","https://openalex.org/W3205411230","https://openalex.org/W4286899009","https://openalex.org/W9168048","https://openalex.org/W4300849822","https://openalex.org/W4376480820","https://openalex.org/W3155891479","https://openalex.org/W3029351463","https://openalex.org/W4308600690"],"abstract_inverted_index":{"Abstract":[0],"Speech":[1],"enhancement":[2],"improves":[3],"communication":[4],"in":[5,85,120,180,206],"noisy":[6],"environments,":[7],"affecting":[8],"areas":[9],"such":[10,73],"as":[11,74],"automatic":[12],"speech":[13,99,207],"recognition":[14],"(ASR),":[15],"hearing":[16,75,223],"aids,":[17],"and":[18,26,28,58,116,129,196],"telecommunications.":[19],"With":[20],"these":[21],"domains":[22],"typically":[23,63],"being":[24],"power-constrained":[25],"event-based,":[27],"often":[29],"requiring":[30],"low":[31,110,214],"latency,":[32,62],"neuromorphic":[33],"algorithms\u2013particularly":[34],"spiking":[35],"neural":[36,87],"networks":[37,88],"(SNNs)\u2013hold":[38],"significant":[39],"potential.":[40],"However,":[41],"current":[42],"effective":[43],"SNN":[44,96],"solutions":[45],"require":[46],"a":[47,92,125],"long":[48,70],"temporal":[49,145],"window":[50],"to":[51,143,158,176,182],"calculate":[52],"Short":[53],"Time":[54],"Fourier":[55],"Transforms":[56],"(STFTs)":[57],"thus":[59],"impose":[60],"substantial":[61],"around":[64],"32":[65],"ms,":[66],"which":[67],"is":[68,174],"too":[69],"for":[71,98,220],"applications":[72,221],"aids.":[76,224],"Inspired":[77],"by":[78,112],"the":[79,114,132,134,149,190,212],"Dual-Path":[80,102],"Recurrent":[81,154],"Neural":[82,104,140,155],"Network":[83,105],"(DPRNN)":[84],"deep":[86],"(DNNs),":[89],"we":[90],"develop":[91],"two-phase":[93],"time-domain":[94],"streaming":[95],"fframework":[97],"enhancement,":[100],"named":[101],"Spiking":[103,138,153],"(DPSNN)":[106],".":[107],"DPSNNs":[108,181],"achieve":[109],"latency":[111,215],"replacing":[113],"STFT":[115,118],"inverse":[117],"(iSTFT)":[119],"traditional":[121],"frequency-domain":[122],"models":[123],"with":[124,169,211],"learned":[126],"convolutional":[127],"encoder":[128],"decoder.":[130],"In":[131,163],"DPSNN,":[133],"first":[135],"phase":[136,151],"uses":[137,152],"Convolutional":[139],"Networks":[141,156],"(SCNNs)":[142],"capture":[144],"contextual":[146],"information,":[147],"while":[148],"second":[150],"(SRNNs)":[157],"focus":[159],"on":[160,189],"frequency-related":[161],"features.":[162],"addition,":[164],"threshold-based":[165],"activation":[166],"suppression,":[167],"along":[168,210],"L":[170],"1":[171],"regularization":[172],"loss,":[173],"applied":[175],"specific":[177],"non-spiking":[178],"layers":[179],"further":[183],"improve":[184],"their":[185],"energy":[186],"efficiency.":[187],"Evaluating":[188],"Voice":[191],"Cloning":[192],"Toolkit":[193],"(VCTK)":[194],"Corpus":[195],"Intel":[197],"N-DNS":[198],"Challenge":[199],"dataset,":[200],"our":[201],"approach":[202],"demonstrates":[203],"excellent":[204],"performance":[205],"objective":[208],"metrics,":[209],"very":[213],"(approximately":[216],"5":[217],"ms)":[218],"required":[219],"like":[222]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
