{"id":"https://openalex.org/W2059829827","doi":"https://doi.org/10.1109/isspit.2013.6781884","title":"Feature enhancement with a Reservoir-based Denoising Auto Encoder","display_name":"Feature enhancement with a Reservoir-based Denoising Auto Encoder","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2059829827","doi":"https://doi.org/10.1109/isspit.2013.6781884","mag":"2059829827"},"language":"en","primary_location":{"id":"doi:10.1109/isspit.2013.6781884","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2013.6781884","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Symposium on Signal Processing and Information Technology","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://biblio.ugent.be/publication/4214421/file/4214459.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058400740","display_name":"Azarakhsh Jalalvand","orcid":"https://orcid.org/0000-0001-8739-1793"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Azarakhsh Jalalvand","raw_affiliation_strings":["ELIS, Ghent University/iMinds, Ghent, Belgium","iMinds - Multimedia Lab, Ghent University, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ELIS, Ghent University/iMinds, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200","https://openalex.org/I39327780"]},{"raw_affiliation_string":"iMinds - Multimedia Lab, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200","https://openalex.org/I39327780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046536366","display_name":"Kris Demuynck","orcid":"https://orcid.org/0000-0001-8525-7160"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Kris Demuynck","raw_affiliation_strings":["ELIS, Ghent University/iMinds, Ghent, Belgium","iMinds - Multimedia Lab, Ghent University, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ELIS, Ghent University/iMinds, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200","https://openalex.org/I39327780"]},{"raw_affiliation_string":"iMinds - Multimedia Lab, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200","https://openalex.org/I39327780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109810030","display_name":"Jean\u2010Pierre Martens","orcid":null},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Jean-Pierre Martens","raw_affiliation_strings":["ELIS, Ghent University/iMinds, Ghent, Belgium","iMinds - Multimedia Lab, Ghent University, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ELIS, Ghent University/iMinds, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200","https://openalex.org/I39327780"]},{"raw_affiliation_string":"iMinds - Multimedia Lab, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200","https://openalex.org/I39327780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"7700","issue":null,"first_page":"000227","last_page":"000232"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9998999834060669,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9918000102043152,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8628979921340942},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7384002208709717},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6877137422561646},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6439380645751953},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.49253568053245544},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.48602062463760376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46621423959732056},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.46252498030662537},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4591076374053955},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45483630895614624},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4487978219985962},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44218409061431885},{"id":"https://openalex.org/keywords/front-and-back-ends","display_name":"Front and back ends","score":0.4270875155925751},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.35136544704437256},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07769617438316345}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8628979921340942},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7384002208709717},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6877137422561646},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6439380645751953},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.49253568053245544},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.48602062463760376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46621423959732056},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.46252498030662537},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4591076374053955},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45483630895614624},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4487978219985962},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44218409061431885},{"id":"https://openalex.org/C53016008","wikidata":"https://www.wikidata.org/wiki/Q620167","display_name":"Front and back ends","level":2,"score":0.4270875155925751},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.35136544704437256},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07769617438316345},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isspit.2013.6781884","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2013.6781884","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Symposium on Signal Processing and Information Technology","raw_type":"proceedings-article"},{"id":"pmh:oai:archive.ugent.be:4214421","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-4214421","pdf_url":"https://biblio.ugent.be/publication/4214421/file/4214459.pdf","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 9781479947966","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:archive.ugent.be:4214421","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-4214421","pdf_url":"https://biblio.ugent.be/publication/4214421/file/4214459.pdf","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 9781479947966","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321730","display_name":"Fonds Wetenschappelijk Onderzoek","ror":"https://ror.org/03qtxy027"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2059829827.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W853436745","https://openalex.org/W1603160506","https://openalex.org/W1950777589","https://openalex.org/W1990535399","https://openalex.org/W2001263627","https://openalex.org/W2011975175","https://openalex.org/W2025768430","https://openalex.org/W2036451492","https://openalex.org/W2038375387","https://openalex.org/W2050091530","https://openalex.org/W2052667477","https://openalex.org/W2057349863","https://openalex.org/W2062518906","https://openalex.org/W2105393299","https://openalex.org/W2111406701","https://openalex.org/W2111492050","https://openalex.org/W2121973264","https://openalex.org/W2122514667","https://openalex.org/W2122972875","https://openalex.org/W2151484683","https://openalex.org/W2161010732","https://openalex.org/W2169399159","https://openalex.org/W2177933918","https://openalex.org/W2296579025","https://openalex.org/W2296761248","https://openalex.org/W3147539069","https://openalex.org/W6684821278"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W4390516098","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2181948922","https://openalex.org/W2080152487","https://openalex.org/W2384362569","https://openalex.org/W2239445980"],"abstract_inverted_index":{"Recently,":[0],"automatic":[1],"speech":[2,58],"recognition":[3,59],"has":[4],"advanced":[5],"significantly":[6],"by":[7],"the":[8,30,44,74,84,89,113,127],"introduction":[9],"of":[10,32,91],"deep":[11],"neural":[12],"networks":[13],"for":[14],"acoustic":[15,47],"modeling.":[16],"However,":[17],"there":[18],"is":[19,76],"no":[20],"clear":[21],"evidence":[22],"yet":[23],"that":[24,37,107],"this":[25,72],"does":[26],"not":[27,39,54],"come":[28],"at":[29],"price":[31],"less":[33],"generalization":[34],"to":[35,63,77,119],"conditions":[36],"were":[38],"present":[40],"during":[41],"training.":[42],"On":[43],"other":[45],"hand,":[46],"modeling":[48],"with":[49],"Reservoir":[50],"Computing":[51],"(RC)":[52],"did":[53],"offer":[55],"improved":[56],"clean":[57],"but":[60],"it":[61],"leads":[62],"good":[64],"robustness":[65,90],"against":[66],"noise":[67],"and":[68,95],"channel":[69],"distortions.":[70],"In":[71,117],"paper,":[73],"aim":[75],"establish":[78],"whether":[79,98],"adding":[80],"feature":[81],"denoising":[82],"in":[83],"front-end":[85],"can":[86,100],"further":[87],"improve":[88],"an":[92,102],"RC-based":[93,103],"recognizer,":[94],"if":[96],"so,":[97],"one":[99],"devise":[101],"Denoising":[104],"Auto":[105],"Encoder":[106],"outperforms":[108],"a":[109],"traditional":[110],"denoiser":[111],"like":[112],"ETSI":[114],"Advanced":[115],"Front-End.":[116],"order":[118],"answer":[120],"these":[121],"questions,":[122],"experiments":[123],"are":[124],"conducted":[125],"on":[126],"Aurora-2":[128],"benchmark.":[129]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}