{"id":"https://openalex.org/W2998784869","doi":"https://doi.org/10.1109/apsipaasc47483.2019.9023330","title":"Subjective Feedback-based Neural Network Pruning for Speech Enhancement","display_name":"Subjective Feedback-based Neural Network Pruning for Speech Enhancement","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2998784869","doi":"https://doi.org/10.1109/apsipaasc47483.2019.9023330","mag":"2998784869"},"language":"en","primary_location":{"id":"doi:10.1109/apsipaasc47483.2019.9023330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc47483.2019.9023330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5087061899","display_name":"Fuqiang Ye","orcid":"https://orcid.org/0000-0002-6069-5524"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fuqiang Ye","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Southern University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Southern University of Science and Technology","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044008055","display_name":"Yu Tsao","orcid":"https://orcid.org/0000-0001-6956-0418"},"institutions":[{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu Tsao","raw_affiliation_strings":["Research Center for Information Technology Innovation, Academic Sinica"],"affiliations":[{"raw_affiliation_string":"Research Center for Information Technology Innovation, Academic Sinica","institution_ids":["https://openalex.org/I4210086894"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100405410","display_name":"Fei Chen","orcid":"https://orcid.org/0000-0002-6988-492X"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Chen","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Southern University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Southern University of Science and Technology","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087061899"],"corresponding_institution_ids":["https://openalex.org/I3045169105"],"apc_list":null,"apc_paid":null,"fwci":0.5027,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.65419819,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"673","last_page":"677"},"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":0.9983999729156494,"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":0.9976000189781189,"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/pruning","display_name":"Pruning","score":0.743450939655304},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7361494898796082},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5726333856582642},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4552243947982788},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.4311062693595886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4096421003341675},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.3394330143928528},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33086591958999634}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.743450939655304},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7361494898796082},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5726333856582642},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4552243947982788},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.4311062693595886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4096421003341675},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.3394330143928528},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33086591958999634},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipaasc47483.2019.9023330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc47483.2019.9023330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1495679096","https://openalex.org/W1987831012","https://openalex.org/W1998648683","https://openalex.org/W2006898504","https://openalex.org/W2044893557","https://openalex.org/W2064525251","https://openalex.org/W2067295501","https://openalex.org/W2067412237","https://openalex.org/W2100495367","https://openalex.org/W2119144962","https://openalex.org/W2120972216","https://openalex.org/W2125389748","https://openalex.org/W2139427956","https://openalex.org/W2191187208","https://openalex.org/W2394498270","https://openalex.org/W2396813586","https://openalex.org/W2405774341","https://openalex.org/W2527611302","https://openalex.org/W2778338786","https://openalex.org/W2793389773","https://openalex.org/W2962866211","https://openalex.org/W2963094099","https://openalex.org/W4245919820","https://openalex.org/W6677103964","https://openalex.org/W6677580257","https://openalex.org/W6678000929","https://openalex.org/W6678583879","https://openalex.org/W6711896204","https://openalex.org/W6712551501","https://openalex.org/W6713658392","https://openalex.org/W6755034786"],"related_works":["https://openalex.org/W2373300491","https://openalex.org/W2395294869","https://openalex.org/W2378744544","https://openalex.org/W2594301978","https://openalex.org/W2379704676","https://openalex.org/W1998810860","https://openalex.org/W4206442282","https://openalex.org/W3096184950","https://openalex.org/W4231424160","https://openalex.org/W2275432853"],"abstract_inverted_index":{"Speech":[0],"enhancement":[1,48,138],"based":[2,63],"on":[3,64],"neural":[4,82],"networks":[5],"provides":[6],"performance":[7],"superior":[8,142],"to":[9,20,34,59,87,105,143,170],"that":[10,119],"of":[11,68,109,130,148,188],"conventional":[12],"algorithms.":[13],"However,":[14],"the":[15,36,61,65,101,107,114,120,131,136,144,172],"network":[16,38,51,55,62,150,153,157,160,165,174],"may":[17],"suffer":[18],"owing":[19],"redundant":[21],"parameters,":[22],"which":[23,84,140],"demands":[24],"large":[25,37],"unnecessary":[26],"computation":[27],"and":[28,43,70,155,176],"power":[29],"consumption.":[30],"This":[31,72],"work":[32],"aimed":[33],"prune":[35],"by":[39,113],"removing":[40],"extra":[41],"neurons":[42,69],"connections":[44],"while":[45],"maintaining":[46],"speech":[47,89,111,137],"performance.":[49],"Iterative":[50],"pruning":[52,73,122,151,158,166,175,186],"combined":[53,124],"with":[54,125,152],"retraining":[56,126,154,177],"was":[57,75,85,98,141,168],"employed":[58],"compress":[60],"weight":[66],"magnitude":[67],"connections.":[71],"method":[74,123,167],"evaluated":[76],"using":[77],"a":[78,179,184],"deep":[79],"denoising":[80],"autoencoder":[81],"network,":[83],"trained":[86],"enhance":[88],"perception":[90],"under":[91],"nonstationary":[92],"noise":[93],"interference.":[94],"Word":[95],"correct":[96],"rate":[97],"utilized":[99],"as":[100],"subjective":[102],"intelligibility":[103],"feedback":[104],"evaluate":[106],"understanding":[108],"noisy":[110],"enhanced":[112],"sparse":[115],"network.":[116],"Results":[117],"showed":[118],"iterative":[121,156,173],"could":[127],"reduce":[128],"50%":[129],"parameters":[132],"without":[133,159],"significantly":[134],"affecting":[135],"performance,":[139],"two":[145],"baseline":[146],"conditions":[147],"direct":[149],"retraining.":[161],"Finally,":[162],"an":[163],"optimized":[164],"proposed":[169],"implement":[171],"in":[178],"greedy":[180],"repetition":[181],"manner,":[182],"yielding":[183],"maximum":[185],"ratio":[187],"80%.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
