{"id":"https://openalex.org/W3010672229","doi":"https://doi.org/10.1109/apsipaasc47483.2019.9023324","title":"An Efficient Dilated Convolutional Neural Network for UAV Noise Reduction at Low Input SNR","display_name":"An Efficient Dilated Convolutional Neural Network for UAV Noise Reduction at Low Input SNR","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3010672229","doi":"https://doi.org/10.1109/apsipaasc47483.2019.9023324","mag":"3010672229"},"language":"en","primary_location":{"id":"doi:10.1109/apsipaasc47483.2019.9023324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc47483.2019.9023324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dr.ntu.edu.sg/bitstream/10356/141755/2/APSIPA_2019_paper_443.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049850307","display_name":"Zhi-Wei Tan","orcid":"https://orcid.org/0000-0001-9921-011X"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Zhi-Wei Tan","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101548777","display_name":"Anh H. T. Nguyen","orcid":"https://orcid.org/0000-0003-2725-3975"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Anh H. T. Nguyen","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010202250","display_name":"Andy W. H. Khong","orcid":"https://orcid.org/0000-0002-0708-4791"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Andy W. H. Khong","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049850307"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":1.8244,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.86528784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1885","last_page":"1892"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech 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/T10860","display_name":"Speech 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/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11008","display_name":"Aerodynamics and Acoustics in Jet Flows","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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":0.7673076391220093},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.6018977165222168},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5947666764259338},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5905619859695435},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.5724692940711975},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.5146945118904114},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4999263286590576},{"id":"https://openalex.org/keywords/microphone-array","display_name":"Microphone array","score":0.4499751031398773},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4361496567726135},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41757437586784363},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41234296560287476},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33220845460891724},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.3265289068222046},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0949685275554657}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7673076391220093},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.6018977165222168},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5947666764259338},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5905619859695435},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.5724692940711975},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.5146945118904114},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4999263286590576},{"id":"https://openalex.org/C2778806681","wikidata":"https://www.wikidata.org/wiki/Q907293","display_name":"Microphone array","level":4,"score":0.4499751031398773},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4361496567726135},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41757437586784363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41234296560287476},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33220845460891724},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.3265289068222046},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0949685275554657},{"id":"https://openalex.org/C68115822","wikidata":"https://www.wikidata.org/wiki/Q1068172","display_name":"Sound pressure","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/apsipaasc47483.2019.9023324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc47483.2019.9023324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/141755","is_oa":true,"landing_page_url":"https://hdl.handle.net/10356/141755","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/141755/2/APSIPA_2019_paper_443.pdf","source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai:dr.ntu.edu.sg:10356/141755","is_oa":true,"landing_page_url":"https://hdl.handle.net/10356/141755","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/141755/2/APSIPA_2019_paper_443.pdf","source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"},"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3010672229.pdf","grobid_xml":"https://content.openalex.org/works/W3010672229.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1522301498","https://openalex.org/W1665214252","https://openalex.org/W1836465849","https://openalex.org/W1975461858","https://openalex.org/W1991013575","https://openalex.org/W2031647436","https://openalex.org/W2070126272","https://openalex.org/W2078528584","https://openalex.org/W2111460811","https://openalex.org/W2127851351","https://openalex.org/W2141998673","https://openalex.org/W2156387975","https://openalex.org/W2189169313","https://openalex.org/W2285420822","https://openalex.org/W2291877678","https://openalex.org/W2294801854","https://openalex.org/W2405774341","https://openalex.org/W2516001803","https://openalex.org/W2516342150","https://openalex.org/W2519091744","https://openalex.org/W2538903081","https://openalex.org/W2553033130","https://openalex.org/W2588617943","https://openalex.org/W2774389566","https://openalex.org/W2887344700","https://openalex.org/W2897371647","https://openalex.org/W2900007948","https://openalex.org/W2949117887","https://openalex.org/W2963453742","https://openalex.org/W2963840672","https://openalex.org/W2964058413","https://openalex.org/W2973062255","https://openalex.org/W3127686677","https://openalex.org/W6601150824","https://openalex.org/W6637242042","https://openalex.org/W6648082397","https://openalex.org/W6682889407","https://openalex.org/W6713658392","https://openalex.org/W6756584522","https://openalex.org/W6789826613"],"related_works":["https://openalex.org/W1879255185","https://openalex.org/W2769861442","https://openalex.org/W1980506188","https://openalex.org/W2380771148","https://openalex.org/W2396048001","https://openalex.org/W4240587264","https://openalex.org/W2348931051","https://openalex.org/W2109356272","https://openalex.org/W2900122540","https://openalex.org/W2905188205"],"abstract_inverted_index":{"Acoustic":[0],"applications":[1],"on":[2,42,66],"a":[3,46,62,73,88],"multi-rotor":[4],"unmanned":[5],"aerial":[6],"vehicle":[7],"(UAV)":[8],"have":[9],"been":[10],"hindered":[11],"by":[12],"its":[13],"low":[14,20,43,128],"input":[15],"signal-to-noise":[16],"ratio":[17],"(SNR).":[18],"Such":[19],"SNR":[21,44,129],"condition":[22],"poses":[23],"prominent":[24],"challenges":[25],"for":[26,152],"beamforming":[27],"algorithms,":[28],"statistical":[29],"methods,":[30],"and":[31,120,147,164],"existing":[32,139],"mask-based":[33],"deep":[34],"learning":[35],"algorithms.":[36],"We":[37],"propose":[38],"the":[39,67,83,93,105,109,127,135,158,169],"small":[40],"model":[41],"(SMoLnet),":[45],"compact":[47],"convolutional":[48],"neural":[49],"network":[50],"(CNN)":[51],"to":[52,77,103,124,126],"suppress":[53],"UAV":[54,85,153],"noise":[55,86,154],"in":[56,142],"noisy":[57,119],"speech":[58,145,149],"signals":[59],"recorded":[60],"off":[61],"microphone":[63],"array":[64],"mounted":[65],"UAV.":[68],"The":[69],"proposed":[70,94,136,159],"SMoLnet":[71,95,137,160],"employs":[72],"large":[74],"analysis":[75],"window":[76],"achieve":[78],"high":[79],"spectral":[80,116],"resolution":[81],"since":[82],"loud":[84],"exhibits":[87],"narrow-band":[89],"harmonic":[90],"pattern.":[91],"In":[92,156],"model,":[96],"exponentially-increasing":[97],"dilated":[98],"convolution":[99],"layers":[100],"were":[101],"adopted":[102],"capture":[104],"global":[106],"relationship":[107],"across":[108],"frequency":[110],"dimension.":[111],"Furthermore,":[112],"we":[113],"performed":[114],"direct":[115],"mapping":[117],"between":[118],"clean":[121],"complex":[122],"spectrogram":[123],"cater":[125],"scenario.":[130],"Simulation":[131],"results":[132],"show":[133],"that":[134],"outperforms":[138],"dilation-based":[140],"models":[141],"terms":[143],"of":[144],"quality":[146],"objective":[148],"intelligibility":[150],"metrics":[151],"reduction.":[155],"addition,":[157],"requires":[161],"fewer":[162],"parameters":[163],"achieves":[165],"lower":[166],"latency":[167],"than":[168],"compared":[170],"models.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2020,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
