{"id":"https://openalex.org/W4285121050","doi":"https://doi.org/10.1109/taslp.2022.3182268","title":"Denoising-and-Dereverberation Hierarchical Neural Vocoder for Statistical Parametric Speech Synthesis","display_name":"Denoising-and-Dereverberation Hierarchical Neural Vocoder for Statistical Parametric Speech Synthesis","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285121050","doi":"https://doi.org/10.1109/taslp.2022.3182268"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2022.3182268","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2022.3182268","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-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/A5045907056","display_name":"Yang Ai","orcid":"https://orcid.org/0000-0001-6668-022X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Ai","raw_affiliation_strings":["National Engineering Research Center of Speech and Language Information Processing, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-6668-022X","affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Speech and Language Information Processing, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059767940","display_name":"Zhen-Hua Ling","orcid":"https://orcid.org/0000-0001-7853-5273"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen-Hua Ling","raw_affiliation_strings":["National Engineering Research Center of Speech and Language Information Processing, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-7853-5273","affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Speech and Language Information Processing, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021398983","display_name":"WU Wei-lu","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Lu Wu","raw_affiliation_strings":["National University of Defense Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100413646","display_name":"Ang Li","orcid":"https://orcid.org/0000-0003-0298-9329"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ang Li","raw_affiliation_strings":["National University of Defense Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8484,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70230756,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"30","issue":null,"first_page":"2036","last_page":"2048"},"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":0.9998000264167786,"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":0.9965000152587891,"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":0.7563838958740234},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7056128978729248},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.6015583276748657},{"id":"https://openalex.org/keywords/reverberation","display_name":"Reverberation","score":0.5666816234588623},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.5189782977104187},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5165252089500427},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.51581209897995},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.4663481116294861},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.4535667300224304},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.4369462728500366},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4278159439563751},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.37200403213500977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22161725163459778},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16122865676879883},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08929881453514099},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07898753881454468}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7563838958740234},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7056128978729248},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6015583276748657},{"id":"https://openalex.org/C95851461","wikidata":"https://www.wikidata.org/wiki/Q468809","display_name":"Reverberation","level":2,"score":0.5666816234588623},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.5189782977104187},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5165252089500427},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.51581209897995},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.4663481116294861},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.4535667300224304},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.4369462728500366},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4278159439563751},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.37200403213500977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22161725163459778},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16122865676879883},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08929881453514099},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07898753881454468},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2022.3182268","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2022.3182268","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7599999904632568,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G8663906801","display_name":"\u9762\u5411\u8bed\u97f3\u5408\u6210\u7684\u795e\u7ecf\u7f51\u7edc\u58f0\u7801\u5668\u7814\u7a76","funder_award_id":"61871358","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W190060899","https://openalex.org/W1996304098","https://openalex.org/W2044893557","https://openalex.org/W2049686551","https://openalex.org/W2067295501","https://openalex.org/W2102003408","https://openalex.org/W2111284386","https://openalex.org/W2115098197","https://openalex.org/W2136682440","https://openalex.org/W2144404214","https://openalex.org/W2291877678","https://openalex.org/W2292984643","https://openalex.org/W2294797155","https://openalex.org/W2471520273","https://openalex.org/W2527729766","https://openalex.org/W2603567530","https://openalex.org/W2749651610","https://openalex.org/W2801554275","https://openalex.org/W2803595463","https://openalex.org/W2889329491","https://openalex.org/W2903739847","https://openalex.org/W2935693977","https://openalex.org/W2940385941","https://openalex.org/W2940417587","https://openalex.org/W2951310434","https://openalex.org/W2954386831","https://openalex.org/W2963103134","https://openalex.org/W2963300588","https://openalex.org/W2963341071","https://openalex.org/W2963609956","https://openalex.org/W2964243274","https://openalex.org/W2972309641","https://openalex.org/W2972440097","https://openalex.org/W2990440871","https://openalex.org/W3015826515","https://openalex.org/W3016129867","https://openalex.org/W3022057435","https://openalex.org/W3095749709","https://openalex.org/W3096080837","https://openalex.org/W3096643087","https://openalex.org/W3104309246","https://openalex.org/W3104557543","https://openalex.org/W3145039504","https://openalex.org/W4288102668","https://openalex.org/W4289242435","https://openalex.org/W6727697161","https://openalex.org/W6735913928","https://openalex.org/W6739901393","https://openalex.org/W6749927861","https://openalex.org/W6753855596","https://openalex.org/W6756251360","https://openalex.org/W6768219873","https://openalex.org/W6843673214"],"related_works":["https://openalex.org/W1656519308","https://openalex.org/W2042717753","https://openalex.org/W2022849831","https://openalex.org/W2037265366","https://openalex.org/W2026603686","https://openalex.org/W2987432963","https://openalex.org/W2053167664","https://openalex.org/W2780118011","https://openalex.org/W2079152323","https://openalex.org/W2128388559"],"abstract_inverted_index":{"This":[0,39],"paper":[1],"presents":[2],"a":[3,121,126,140,197],"denoising":[4,41,90],"and":[5,14,42,70,80,86,91,125,167,181,186,190,196],"dereverberation":[6,43,92],"hierarchical":[7],"neural":[8,108,200],"vocoder":[9,24,175,195],"(DNR-HiNet)":[10],"to":[11,110,134,151,178,237],"convert":[12],"noisy":[13,69,185],"reverberant":[15,71,187],"acoustic":[16,55,188],"features":[17,189],"into":[18,131],"clean":[19,48,114],"speech":[20,143,203,213,227,235],"waveforms.":[21],"The":[22,97],"DNR-HiNet":[23,148,174,221],"is":[25,149,163],"built":[26],"by":[27,93,106,165],"modifying":[28],"the":[29,35,60,64,73,81,112,132,154,157,173,192,217,229,238],"amplitude":[30,50,66,75,101,116],"spectrum":[31],"predictor":[32],"(ASP)":[33],"in":[34],"original":[36,193],"HiNet":[37,194],"vocoder.":[38],"modified":[40],"ASP":[44],"(DNR-ASP)":[45],"can":[46],"predict":[47],"log":[49,65,74,100,115],"spectra":[51,67,76,102],"from":[52],"input":[53],"degraded":[54,164,239],"features.":[56],"To":[57],"achieve":[58],"this,":[59],"DNR-ASP":[61,133],"first":[62],"predicts":[63],"of":[68,77,159,225],"speech,":[72],"additive":[78],"noise":[79,166],"room":[82],"impulse":[83],"response":[84],"(RIR)":[85],"then":[87,104],"performs":[88],"initial":[89],"signal":[94],"processing":[95],"algorithms.":[96],"initially":[98],"processed":[99],"are":[103],"enhanced":[105],"another":[107],"network":[109],"obtain":[111],"final":[113],"spectra.":[117],"We":[118],"also":[119],"introduce":[120],"bandwidth":[122],"extension":[123,129],"model":[124,130],"frequency":[127],"resolution":[128],"further":[135],"improve":[136],"its":[137,206],"performance.":[138],"Finally,":[139],"statistical":[141],"parametric":[142],"synthesis":[144],"(SPSS)":[145],"method":[146,219],"with":[147,153,210,220],"proposed":[150],"deal":[152],"situation":[155],"that":[156,172],"quality":[158,224],"target":[160],"speaker’s":[161],"recordings":[162],"reverberation.":[168],"Experimental":[169],"results":[170],"indicate":[171],"was":[176,208],"able":[177],"generate":[179],"denoised":[180],"dereverberated":[182],"waveforms":[183],"given":[184],"outperformed":[191],"few":[198],"other":[199],"vocoders.":[201],"On":[202],"enhancement":[204,214,236],"tasks,":[205],"performance":[207],"competitive":[209],"several":[211],"advanced":[212],"methods.":[215],"Furthermore,":[216],"SPSS":[218],"achieved":[222],"better":[223],"synthetic":[226],"than":[228],"conventional":[230],"approach":[231],"which":[232],"directly":[233],"applied":[234],"adaptation":[240],"data.":[241]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}