{"id":"https://openalex.org/W3013304952","doi":"https://doi.org/10.1109/ieeeconf44664.2019.9049003","title":"Dilated convolutional recurrent neural network for monaural speech enhancement","display_name":"Dilated convolutional recurrent neural network for monaural speech enhancement","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3013304952","doi":"https://doi.org/10.1109/ieeeconf44664.2019.9049003","mag":"3013304952"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf44664.2019.9049003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf44664.2019.9049003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","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/A5003929536","display_name":"Shadi Pirhosseinloo","orcid":null},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shadi Pirhosseinloo","raw_affiliation_strings":["University of Kansas,Electrical Engineering &#x0026; Computer Science,Lawrence,Kansas","Electrical Engineering & Computer Science, University of Kansas, Lawrence, Kansas"],"affiliations":[{"raw_affiliation_string":"University of Kansas,Electrical Engineering &#x0026; Computer Science,Lawrence,Kansas","institution_ids":["https://openalex.org/I146416000"]},{"raw_affiliation_string":"Electrical Engineering & Computer Science, University of Kansas, Lawrence, Kansas","institution_ids":["https://openalex.org/I146416000"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054274806","display_name":"Jonathan S. Brumberg","orcid":"https://orcid.org/0000-0001-5739-968X"},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan S. Brumberg","raw_affiliation_strings":["University of Kansas,Speech-Language-Hearing,Lawrence,Kansas","Speech-Language-Hearing, University of Kansas, Lawrence, Kansas"],"affiliations":[{"raw_affiliation_string":"University of Kansas,Speech-Language-Hearing,Lawrence,Kansas","institution_ids":["https://openalex.org/I146416000"]},{"raw_affiliation_string":"Speech-Language-Hearing, University of Kansas, Lawrence, Kansas","institution_ids":["https://openalex.org/I146416000"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003929536"],"corresponding_institution_ids":["https://openalex.org/I146416000"],"apc_list":null,"apc_paid":null,"fwci":0.1659,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.4955812,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"158","last_page":"162"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.9955999851226807,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/monaural","display_name":"Monaural","score":0.9129905104637146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7784161567687988},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7598592042922974},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.6371145844459534},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5623335242271423},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5437423586845398},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.520571768283844},{"id":"https://openalex.org/keywords/intelligibility","display_name":"Intelligibility (philosophy)","score":0.5009443759918213},{"id":"https://openalex.org/keywords/reverberation","display_name":"Reverberation","score":0.4623625874519348},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43430057168006897},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3373016119003296},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2949438691139221},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.18928813934326172},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1418064534664154},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05937439203262329}],"concepts":[{"id":"https://openalex.org/C102894143","wikidata":"https://www.wikidata.org/wiki/Q1323979","display_name":"Monaural","level":2,"score":0.9129905104637146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7784161567687988},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7598592042922974},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.6371145844459534},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5623335242271423},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5437423586845398},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.520571768283844},{"id":"https://openalex.org/C60048801","wikidata":"https://www.wikidata.org/wiki/Q1433889","display_name":"Intelligibility (philosophy)","level":2,"score":0.5009443759918213},{"id":"https://openalex.org/C95851461","wikidata":"https://www.wikidata.org/wiki/Q468809","display_name":"Reverberation","level":2,"score":0.4623625874519348},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43430057168006897},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3373016119003296},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2949438691139221},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.18928813934326172},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1418064534664154},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05937439203262329},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf44664.2019.9049003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf44664.2019.9049003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W160800111","https://openalex.org/W1522301498","https://openalex.org/W1552314771","https://openalex.org/W1665214252","https://openalex.org/W1836465849","https://openalex.org/W1974387177","https://openalex.org/W1983108229","https://openalex.org/W2031026199","https://openalex.org/W2064675550","https://openalex.org/W2069681747","https://openalex.org/W2114218864","https://openalex.org/W2117678320","https://openalex.org/W2141998673","https://openalex.org/W2144786298","https://openalex.org/W2156387975","https://openalex.org/W2327169953","https://openalex.org/W2517554319","https://openalex.org/W2519091744","https://openalex.org/W2678916739","https://openalex.org/W2749799511","https://openalex.org/W2889442120","https://openalex.org/W2897371647","https://openalex.org/W2918782247","https://openalex.org/W2949382160","https://openalex.org/W2963285578","https://openalex.org/W2963840672","https://openalex.org/W2964121744","https://openalex.org/W2972948005","https://openalex.org/W6631190155","https://openalex.org/W6637242042","https://openalex.org/W6638667902","https://openalex.org/W6682889407","https://openalex.org/W6685562342","https://openalex.org/W6696085341"],"related_works":["https://openalex.org/W2036157531","https://openalex.org/W2621851636","https://openalex.org/W1986772939","https://openalex.org/W2538939196","https://openalex.org/W3045520545","https://openalex.org/W2037635165","https://openalex.org/W2738829087","https://openalex.org/W2542062716","https://openalex.org/W1505346162","https://openalex.org/W4200562864"],"abstract_inverted_index":{"In":[0],"this":[1,94],"study,":[2],"we":[3],"have":[4],"proposed":[5,19,78],"a":[6,26,37,41],"novel":[7],"dilated":[8,22],"convolutional":[9,88],"recurrent":[10,89],"neural":[11],"network":[12,85,90],"for":[13],"real-time":[14,121],"monaural":[15],"speech":[16,68,71,76],"enhancement.":[17],"Our":[18,46],"model":[20,47,79,95],"incorporates":[21],"causal":[23],"convolutions":[24],"with":[25,53],"long":[27],"short-term":[28],"memory":[29],"(LSTM)":[30],"layer":[31],"and":[32,57,70,87,102,109,117],"skip":[33],"connections":[34],"to":[35,81,99,106],"track":[36],"target":[38],"speaker":[39],"from":[40],"single":[42],"channel":[43],"noisy-reverberant":[44],"mixture.":[45],"was":[48],"evaluated":[49],"in":[50,66,120],"simulated":[51],"rooms":[52],"different":[54],"reverberation":[55],"times":[56],"unseen":[58,103],"background":[59],"noises.":[60],"Experimental":[61],"results":[62],"show":[63],"significant":[64],"improvements":[65],"objective":[67],"intelligibility":[69],"quality":[72],"of":[73],"the":[74],"enhanced":[75],"using":[77],"compared":[80,105],"LSTM,":[82,107],"gated":[83],"residual":[84],"(GRN)":[86],"(CRN)":[91],"models.":[92],"Moreover,":[93],"has":[96,113],"better":[97],"generalization":[98],"untrained":[100],"speakers":[101],"noises":[104],"GRN":[108],"CRN,":[110],"while":[111],"it":[112],"fewer":[114],"trainable":[115],"parameters":[116],"can":[118],"operate":[119],"applications.":[122]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
