{"id":"https://openalex.org/W3012138484","doi":"https://doi.org/10.1109/apsipaasc47483.2019.9023159","title":"End-to-End Speech Enhancement Using Fully Convolutional Networks with Skip Connections","display_name":"End-to-End Speech Enhancement Using Fully Convolutional Networks with Skip Connections","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3012138484","doi":"https://doi.org/10.1109/apsipaasc47483.2019.9023159","mag":"3012138484"},"language":"en","primary_location":{"id":"doi:10.1109/apsipaasc47483.2019.9023159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc47483.2019.9023159","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063430163","display_name":"Dujuan Wang","orcid":"https://orcid.org/0000-0003-1617-7057"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dujuan Wang","raw_affiliation_strings":["Speech and Audio Signal Processing Lab, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Speech and Audio Signal Processing Lab, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070475244","display_name":"Changchun Bao","orcid":"https://orcid.org/0000-0002-5606-5343"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changchun Bao","raw_affiliation_strings":["Speech and Audio Signal Processing Lab, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Speech and Audio Signal Processing Lab, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063430163"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.3338,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59816212,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"93","issue":null,"first_page":"890","last_page":"895"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":1.0,"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":1.0,"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":0.9959999918937683,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9955000281333923,"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/waveform","display_name":"Waveform","score":0.8240935802459717},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7937179803848267},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.675078809261322},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.6446514129638672},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5678027272224426},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5507826805114746},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.443445086479187},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.42254769802093506},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.41921740770339966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3559347093105316},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12659671902656555},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.09734416007995605}],"concepts":[{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.8240935802459717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7937179803848267},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.675078809261322},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.6446514129638672},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5678027272224426},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5507826805114746},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.443445086479187},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.42254769802093506},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.41921740770339966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3559347093105316},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12659671902656555},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.09734416007995605},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/apsipaasc47483.2019.9023159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc47483.2019.9023159","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":"mag:3041707259","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002237381773801","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1026270304","https://openalex.org/W1665214252","https://openalex.org/W1666984270","https://openalex.org/W1903029394","https://openalex.org/W1995536493","https://openalex.org/W1999846783","https://openalex.org/W2069681747","https://openalex.org/W2078528584","https://openalex.org/W2096779346","https://openalex.org/W2109349638","https://openalex.org/W2141998673","https://openalex.org/W2149535104","https://openalex.org/W2168249605","https://openalex.org/W2194775991","https://openalex.org/W2291877678","https://openalex.org/W2330127310","https://openalex.org/W2401869809","https://openalex.org/W2403766732","https://openalex.org/W2405774341","https://openalex.org/W2406737436","https://openalex.org/W2519091744","https://openalex.org/W2529337537","https://openalex.org/W2550397165","https://openalex.org/W2687223163","https://openalex.org/W2962866211","https://openalex.org/W2963045393","https://openalex.org/W2963828919","https://openalex.org/W2964121744","https://openalex.org/W4253928870","https://openalex.org/W4300538033","https://openalex.org/W4388297464","https://openalex.org/W6626481562","https://openalex.org/W6637061625","https://openalex.org/W6637242042","https://openalex.org/W6713197546","https://openalex.org/W6713298849","https://openalex.org/W6713658392"],"related_works":["https://openalex.org/W2361474137","https://openalex.org/W3110551121","https://openalex.org/W2131486661","https://openalex.org/W2594809597","https://openalex.org/W1581699318","https://openalex.org/W2770665941","https://openalex.org/W1962303650","https://openalex.org/W2155835612","https://openalex.org/W2348406964","https://openalex.org/W754468139"],"abstract_inverted_index":{"The":[0,14],"purpose":[1],"of":[2,16,29,52,109,118,123,128,130,146,162],"speech":[3,9,17,53,63,93,110,163,176],"enhancement":[4,18,64,94],"is":[5,54,95,137,170],"to":[6,44,139,179],"extract":[7],"useful":[8],"signal":[10,164],"from":[11],"noisy":[12],"speech.":[13],"performance":[15],"has":[19],"been":[20],"improved":[21],"greatly":[22],"in":[23,133,165],"recent":[24],"years":[25],"with":[26,87],"fast":[27],"development":[28],"the":[30,39,49,57,98,124,144,174,183,188],"deep":[31,141],"learning.":[32],"However,":[33],"these":[34,155],"studies":[35],"mainly":[36],"focus":[37],"on":[38],"frequency":[40,116],"domain,":[41],"which":[42,67,169],"needs":[43],"complete":[45],"time-frequency":[46,72],"transformation":[47,73],"and":[48,61,112,143],"phase":[50,78],"information":[51,108],"ignored.":[55],"Therefore,":[56],"end-to-end":[58,92],"(i.e.":[59],"waveform-in":[60],"waveform-out)":[62],"was":[65],"investigated,":[66],"not":[68],"only":[69],"avoids":[70],"fixed":[71],"but":[74],"also":[75,150],"allows":[76],"modelling":[77],"information.":[79],"In":[80,153],"this":[81,102],"paper,":[82],"a":[83],"fully":[84,99],"convolutional":[85,167],"network":[86,103],"skip":[88,131,156],"connections":[89,132,157],"(SC-FCN)":[90],"for":[91,172],"proposed.":[96],"Without":[97],"connected":[100],"layers,":[101,135,168],"can":[104,149,158,186],"effectively":[105],"characterize":[106],"local":[107],"signal,":[111],"better":[113],"restore":[114],"high":[115],"components":[117],"waveform":[119,189],"using":[120],"lesser":[121],"number":[122],"parameters.":[125],"Meanwhile,":[126],"because":[127],"existence":[129],"different":[134,166],"it":[136],"easier":[138],"train":[140],"networks":[142],"problem":[145],"gradient":[147],"vanishing":[148],"be":[151],"tackled.":[152],"addition,":[154],"obtain":[159],"more":[160],"details":[161],"beneficial":[171],"recovering":[173],"original":[175],"signal.":[177],"According":[178],"our":[180],"experimental":[181],"results,":[182],"proposed":[184],"method":[185],"recover":[187],"better.":[190]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
