{"id":"https://openalex.org/W2891462019","doi":"https://doi.org/10.1109/icassp.2018.8462532","title":"Recall Neural Network for Source Separation","display_name":"Recall Neural Network for Source Separation","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2891462019","doi":"https://doi.org/10.1109/icassp.2018.8462532","mag":"2891462019"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8462532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5061908942","display_name":"Jen\u2010Tzung Chien","orcid":"https://orcid.org/0000-0003-3466-8941"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jen-Tzung Chien","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National Chiao Tung University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National Chiao Tung University, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112434805","display_name":"Kai-Wei Tsou","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kai-Wei Tsou","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National Chiao Tung University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National Chiao Tung University, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2956","last_page":"2960"},"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/T11309","display_name":"Music and Audio Processing","score":0.9984999895095825,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9977999925613403,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7985036373138428},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6681894063949585},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.5925928950309753},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5569429993629456},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5538597106933594},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5479181408882141},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5321604013442993},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.529140293598175},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4908080995082855},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.48407307267189026},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45175352692604065},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.43664786219596863},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.43210622668266296},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.41011106967926025},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40266504883766174},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2417263686656952}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7985036373138428},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6681894063949585},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.5925928950309753},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5569429993629456},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5538597106933594},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5479181408882141},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5321604013442993},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.529140293598175},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4908080995082855},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.48407307267189026},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45175352692604065},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.43664786219596863},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.43210622668266296},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.41011106967926025},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40266504883766174},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2417263686656952},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2018.8462532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4399999976158142,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1514535095","https://openalex.org/W2005708641","https://openalex.org/W2031647436","https://openalex.org/W2064675550","https://openalex.org/W2113907273","https://openalex.org/W2130942839","https://openalex.org/W2131774270","https://openalex.org/W2133564696","https://openalex.org/W2141411743","https://openalex.org/W2183821610","https://openalex.org/W2242047860","https://openalex.org/W2327501763","https://openalex.org/W2404724332","https://openalex.org/W2678916739","https://openalex.org/W2749679082","https://openalex.org/W2771697229","https://openalex.org/W2892027981","https://openalex.org/W2951008357","https://openalex.org/W2964199361","https://openalex.org/W4303633609","https://openalex.org/W6630875275","https://openalex.org/W6638318767","https://openalex.org/W6658463413","https://openalex.org/W6679436768","https://openalex.org/W6702097088","https://openalex.org/W6743570848","https://openalex.org/W6745960141","https://openalex.org/W6754748003"],"related_works":["https://openalex.org/W1986163687","https://openalex.org/W2129888767","https://openalex.org/W4365815255","https://openalex.org/W1950940422","https://openalex.org/W2066500242","https://openalex.org/W4283822356","https://openalex.org/W3031223029","https://openalex.org/W2129146436","https://openalex.org/W2032507829","https://openalex.org/W2147282173"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,14,20,35,42,62,69,78,97,113],"novel":[4],"memory-augmented":[5],"neural":[6,16,99,162],"network":[7,17,100],"for":[8,27,101],"single-channel":[9],"source":[10,102],"separation.":[11,103],"We":[12],"propose":[13],"recall":[15],"(RCNN)":[18],"where":[19,46],"couple":[21],"of":[22,83,93,124,130,141],"external":[23],"memories":[24,38],"are":[25,39,75,86,133],"realized":[26],"sequence-to-sequence":[28],"learning":[29],"based":[30],"on":[31,149],"an":[32],"encoder":[33],"and":[34,52,68,127,161],"decoder.":[36],"These":[37,72],"learned":[40],"in":[41,77,144,165],"two-pass":[43],"sensing":[44,125],"procedure":[45,126],"the":[47,90,138,155],"mixed":[48],"signal":[49],"is":[50,108],"encoded":[51],"then":[53],"decoded":[54],"(or":[55],"recalled)":[56],"as":[57],"context":[58,73],"vectors":[59,74],"by":[60],"using":[61],"bidirectional":[63],"long":[64],"short-term":[65],"memory":[66,115],"(LSTM)":[67],"LSTM,":[70],"respectively.":[71],"integrated":[76],"gating":[79],"layer.":[80],"A":[81,104],"set":[82],"attention":[84,106,132],"weights":[85],"calculated":[87],"to":[88,95,111,121,136],"attend":[89],"hidden":[91],"state":[92],"decoder":[94],"implement":[96],"recurrent":[98],"gated":[105,131],"mechanism":[107],"carried":[109],"out":[110],"fulfill":[112],"specialized":[114],"network.":[116],"The":[117,147],"regression":[118],"errors":[119],"due":[120],"two":[122],"passes":[123],"one":[128],"pass":[129],"jointly":[134],"minimized":[135],"estimate":[137],"weight":[139],"parameters":[140],"different":[142,145,166],"components":[143],"layers.":[146],"experiments":[148],"multi-speaker":[150],"speech":[151],"enhancement":[152],"show":[153],"that":[154],"proposed":[156],"RCNN":[157],"consistently":[158],"outperforms":[159],"LSTM":[160],"Turing":[163],"machine":[164],"settings.":[167]},"counts_by_year":[{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
