{"id":"https://openalex.org/W3015368254","doi":"https://doi.org/10.1109/icassp40776.2020.9053769","title":"A Time-Frequency Network with Channel Attention and Non-Local Modules for Artificial Bandwidth Extension","display_name":"A Time-Frequency Network with Channel Attention and Non-Local Modules for Artificial Bandwidth Extension","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015368254","doi":"https://doi.org/10.1109/icassp40776.2020.9053769","mag":"3015368254"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5033499824","display_name":"Yuanjie Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuanjie Dong","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100636678","display_name":"Yaxing Li","orcid":"https://orcid.org/0000-0002-6750-8429"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaxing Li","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100634702","display_name":"Xiaoqi Li","orcid":"https://orcid.org/0000-0002-6012-9178"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqi Li","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036610170","display_name":"Shan Xu","orcid":"https://orcid.org/0000-0002-8487-2046"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan Xu","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090820960","display_name":"Dan Wang","orcid":"https://orcid.org/0000-0002-9118-1083"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Wang","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100451610","display_name":"Zhihui Zhang","orcid":"https://orcid.org/0000-0001-7387-599X"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihui Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011707621","display_name":"Shengwu Xiong","orcid":"https://orcid.org/0000-0002-4006-7029"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengwu Xiong","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5033499824"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":null,"apc_paid":null,"fwci":0.7577,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.6961817,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"6954","last_page":"6958"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9961000084877014,"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/T11309","display_name":"Music and Audio Processing","score":0.9940000176429749,"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":0.7875690460205078},{"id":"https://openalex.org/keywords/short-time-fourier-transform","display_name":"Short-time Fourier transform","score":0.7230236530303955},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.669830858707428},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6488869190216064},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5926039814949036},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5862455368041992},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5739622116088867},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5275803804397583},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.5237971544265747},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.5124828815460205},{"id":"https://openalex.org/keywords/bandwidth-extension","display_name":"Bandwidth extension","score":0.49682357907295227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4847390353679657},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4377662241458893},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4195794463157654},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41033071279525757},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3430332541465759},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.15951135754585266},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13033175468444824},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11065438389778137},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.09010207653045654}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7875690460205078},{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.7230236530303955},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.669830858707428},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6488869190216064},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5926039814949036},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5862455368041992},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5739622116088867},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5275803804397583},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5237971544265747},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.5124828815460205},{"id":"https://openalex.org/C9387945","wikidata":"https://www.wikidata.org/wiki/Q4854770","display_name":"Bandwidth extension","level":4,"score":0.49682357907295227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4847390353679657},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4377662241458893},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4195794463157654},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41033071279525757},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3430332541465759},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.15951135754585266},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13033175468444824},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11065438389778137},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.09010207653045654},{"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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.0},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":37,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W1486497977","https://openalex.org/W1517841224","https://openalex.org/W1522137499","https://openalex.org/W1522301498","https://openalex.org/W1591013319","https://openalex.org/W1677182931","https://openalex.org/W1745334888","https://openalex.org/W1971868317","https://openalex.org/W1994997782","https://openalex.org/W1998687781","https://openalex.org/W2026814673","https://openalex.org/W2132327171","https://openalex.org/W2147152002","https://openalex.org/W2518315489","https://openalex.org/W2534867751","https://openalex.org/W2584505851","https://openalex.org/W2585436711","https://openalex.org/W2748163399","https://openalex.org/W2752782242","https://openalex.org/W2761952131","https://openalex.org/W2784918340","https://openalex.org/W2802034954","https://openalex.org/W2890648862","https://openalex.org/W2892335023","https://openalex.org/W2963091558","https://openalex.org/W2963341071","https://openalex.org/W2963420686","https://openalex.org/W2964121744","https://openalex.org/W3122318757","https://openalex.org/W3127686677","https://openalex.org/W6629152996","https://openalex.org/W6631190155","https://openalex.org/W6637573526","https://openalex.org/W6682013673","https://openalex.org/W6733070985","https://openalex.org/W6789826613"],"related_works":["https://openalex.org/W2326454079","https://openalex.org/W564939545","https://openalex.org/W2533590149","https://openalex.org/W4293267999","https://openalex.org/W2560154230","https://openalex.org/W2964898233","https://openalex.org/W2029494570","https://openalex.org/W2129331087","https://openalex.org/W2539126704","https://openalex.org/W2380313808"],"abstract_inverted_index":{"Convolution":[0],"neural":[1,123],"networks":[2,46],"(CNNs)":[3],"have":[4],"been":[5],"achieving":[6],"increasing":[7],"attention":[8,76],"for":[9,82,125],"the":[10,21,33,87,99,105,112,126,137,141],"artificial":[11],"bandwidth":[12],"extension":[13],"(ABE)":[14],"task":[15],"recently.":[16],"However,":[17],"these":[18],"methods":[19],"use":[20],"flipped":[22],"low-frequency":[23],"phase":[24],"to":[25,32,47,97,117],"reconstruct":[26],"speech":[27],"signals,":[28],"which":[29],"may":[30],"lead":[31],"well-known":[34],"invalid":[35,100],"short-time":[36],"Fourier":[37],"Transform":[38],"(STFT)":[39],"problem.":[40,102],"The":[41,84],"convolutional":[42,122],"operations":[43],"only":[44],"enable":[45],"construct":[48,118],"informative":[49],"features":[50],"by":[51],"fusing":[52],"both":[53,90],"channel-wise":[54],"and":[55,78,92,107,114,128],"spatial":[56],"information":[57,88],"within":[58],"local":[59],"receptive":[60],"fields":[61],"at":[62],"each":[63],"layer.":[64],"In":[65],"this":[66],"paper,":[67],"we":[68,110],"introduce":[69],"a":[70,119],"Time-Frequency":[71],"Network":[72],"(TFNet)":[73],"with":[74],"channel":[75],"(CA)":[77],"non-local":[79],"(NL)":[80],"modules":[81,116],"ABE.":[83],"TFNet":[85],"exploits":[86],"from":[89],"time":[91,127],"frequency":[93,129],"domain":[94],"branches":[95,130],"concurrently":[96],"avoid":[98],"STFT":[101],"To":[103],"capture":[104],"channels":[106],"space":[108],"dependencies,":[109],"incorporate":[111],"CA":[113],"NL":[115],"proposed":[120,138],"fully":[121],"network":[124],"of":[131],"TFNet.":[132],"Experimental":[133],"results":[134],"demonstrate":[135],"that":[136],"method":[139],"outperforms":[140],"competing":[142],"method.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-16T23:07:24.559242","created_date":"2025-10-10T00:00:00"}