{"id":"https://openalex.org/W3198130028","doi":"https://doi.org/10.21437/interspeech.2021-936","title":"Deep Noise Suppression with Non-Intrusive PESQNet Supervision Enabling the Use of Real Training Data","display_name":"Deep Noise Suppression with Non-Intrusive PESQNet Supervision Enabling the Use of Real Training Data","publication_year":2021,"publication_date":"2021-08-27","ids":{"openalex":"https://openalex.org/W3198130028","doi":"https://doi.org/10.21437/interspeech.2021-936","mag":"3198130028"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2021-936","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2021-936","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2021","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/A5070273121","display_name":"Ziyi Xu","orcid":"https://orcid.org/0000-0003-3046-1425"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ziyi Xu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074981761","display_name":"Maximilian Strake","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maximilian Strake","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5002593702","display_name":"Tim Fingscheidt","orcid":"https://orcid.org/0000-0002-8895-5041"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tim Fingscheidt","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2806","last_page":"2810"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9850999712944031,"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/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.9790999889373779,"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/computer-science","display_name":"Computer science","score":0.7518161535263062},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.748407244682312},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6140305995941162},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5168281197547913},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46063315868377686},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.41123324632644653},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.26600444316864014}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7518161535263062},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.748407244682312},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6140305995941162},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5168281197547913},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46063315868377686},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.41123324632644653},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.26600444316864014},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2021-936","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2021-936","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2021","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2551249631","https://openalex.org/W2171117985","https://openalex.org/W1526760723","https://openalex.org/W2126659863","https://openalex.org/W2012356576","https://openalex.org/W2102487628","https://openalex.org/W4385670989","https://openalex.org/W2436588531","https://openalex.org/W3112120395","https://openalex.org/W2009680848"],"abstract_inverted_index":{"Data-driven":[0],"speech":[1,26,41,47,59,92],"enhancement":[2,27],"employing":[3,137],"deep":[4],"neural":[5,28,126],"networks":[6,29],"(DNNs)":[7],"can":[8],"provide":[9],"state-of-the-art":[10],"performance":[11],"even":[12],"in":[13,32,52,75,129,177],"the":[14,20,25,57,66,109,150,162],"presence":[15],"of":[16,24,91],"non-stationary":[17],"noise.":[18,50],"During":[19],"training":[21,135],"process,":[22],"most":[23],"are":[30],"trained":[31],"a":[33,53,97,104,120,130,154],"fully":[34,123],"supervised":[35,132],"way":[36],"with":[37,112],"losses":[38],"requiring":[39],"noisy":[40,58],"to":[42,65,148],"be":[43,72],"synthesized":[44],"by":[45,172,179],"clean":[46],"and":[48,114,118,144,176],"additive":[49],"However,":[51],"real":[54,101,142],"implementation,":[55],"only":[56],"mixture":[60],"is":[61],"available,":[62],"which":[63,87],"leads":[64],"question,":[67],"how":[68],"such":[69],"data":[70,147],"could":[71],"advantageously":[73],"employed":[74],"training.":[76],"In":[77,153],"this":[78],"work,":[79],"we":[80,107],"propose":[81],"an":[82],"end-to-end":[83],"non-intrusive":[84],"PESQNet":[85,110,151],"DNN":[86],"estimates":[88],"perceptual":[89],"evaluation":[90],"quality":[93],"(PESQ)":[94],"scores,":[95],"allowing":[96],"reference-free":[98],"loss":[99,111,116],"for":[100],"data.":[102],"As":[103],"further":[105],"novelty,":[106],"combine":[108],"denoising":[113],"dereverberation":[115],"terms,":[117],"train":[119],"complex":[121],"mask-based":[122],"convolutional":[124],"recurrent":[125],"network":[127],"(FCRN)":[128],"weakly":[131],"way,":[133],"each":[134],"cycle":[136],"some":[138,141],"synthetic":[139,146],"data,":[140,143],"again":[145],"keep":[149],"up-to-date.":[152],"subjective":[155],"listening":[156],"test,":[157],"our":[158],"proposed":[159],"framework":[160],"outperforms":[161],"Interspeech":[163],"2021":[164],"Deep":[165],"Noise":[166],"Suppression":[167],"(DNS)":[168],"Challenge":[169],"baseline":[170],"overall":[171],"0.09":[173],"MOS":[174,183],"points":[175],"particular":[178],"0.45":[180],"background":[181],"noise":[182],"points.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
