{"id":"https://openalex.org/W2536224642","doi":"https://doi.org/10.1109/iwaenc.2016.7602894","title":"Artificial bandwidth extension using deep neural networks for spectral envelope estimation","display_name":"Artificial bandwidth extension using deep neural networks for spectral envelope estimation","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2536224642","doi":"https://doi.org/10.1109/iwaenc.2016.7602894","mag":"2536224642"},"language":"en","primary_location":{"id":"doi:10.1109/iwaenc.2016.7602894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwaenc.2016.7602894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Workshop on Acoustic Signal Enhancement (IWAENC)","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/A5062346765","display_name":"Johannes Abel","orcid":"https://orcid.org/0000-0003-3675-3488"},"institutions":[{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"education","lineage":["https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Johannes Abel","raw_affiliation_strings":["Institute for Communications Technology, Technische Universit\u00e4t, Braunschweig, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Communications Technology, Technische Universit\u00e4t, Braunschweig, Germany","institution_ids":["https://openalex.org/I94509681"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074981761","display_name":"Maximilian Strake","orcid":null},"institutions":[{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"education","lineage":["https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maximilian Strake","raw_affiliation_strings":["Institute for Communications Technology, Technische Universit\u00e4t, Braunschweig, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Communications Technology, Technische Universit\u00e4t, Braunschweig, Germany","institution_ids":["https://openalex.org/I94509681"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002593702","display_name":"Tim Fingscheidt","orcid":"https://orcid.org/0000-0002-8895-5041"},"institutions":[{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"education","lineage":["https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tim Fingscheidt","raw_affiliation_strings":["Institute for Communications Technology, Technische Universit\u00e4t, Braunschweig, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Communications Technology, Technische Universit\u00e4t, Braunschweig, Germany","institution_ids":["https://openalex.org/I94509681"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I94509681"],"apc_list":null,"apc_paid":null,"fwci":2.8594,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.93150685,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bandwidth-extension","display_name":"Bandwidth extension","score":0.8629602193832397},{"id":"https://openalex.org/keywords/narrowband","display_name":"Narrowband","score":0.8135050535202026},{"id":"https://openalex.org/keywords/spectral-envelope","display_name":"Spectral envelope","score":0.796626091003418},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.7005872130393982},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6952821016311646},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.648794949054718},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6432474255561829},{"id":"https://openalex.org/keywords/envelope","display_name":"Envelope (radar)","score":0.5386528372764587},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5143724679946899},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4822593331336975},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41979730129241943},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.410377562046051},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37091606855392456},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24707189202308655},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19841477274894714},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.19287925958633423}],"concepts":[{"id":"https://openalex.org/C9387945","wikidata":"https://www.wikidata.org/wiki/Q4854770","display_name":"Bandwidth extension","level":4,"score":0.8629602193832397},{"id":"https://openalex.org/C2776096036","wikidata":"https://www.wikidata.org/wiki/Q1140483","display_name":"Narrowband","level":2,"score":0.8135050535202026},{"id":"https://openalex.org/C54926389","wikidata":"https://www.wikidata.org/wiki/Q7575188","display_name":"Spectral envelope","level":2,"score":0.796626091003418},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.7005872130393982},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6952821016311646},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.648794949054718},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6432474255561829},{"id":"https://openalex.org/C65155139","wikidata":"https://www.wikidata.org/wiki/Q5380912","display_name":"Envelope (radar)","level":3,"score":0.5386528372764587},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5143724679946899},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4822593331336975},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41979730129241943},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.410377562046051},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37091606855392456},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24707189202308655},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19841477274894714},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.19287925958633423},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwaenc.2016.7602894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwaenc.2016.7602894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Workshop on Acoustic Signal Enhancement (IWAENC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4099999964237213,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W1517841224","https://openalex.org/W1547915404","https://openalex.org/W1923007241","https://openalex.org/W1943463263","https://openalex.org/W1970733850","https://openalex.org/W1993882792","https://openalex.org/W2004018702","https://openalex.org/W2035859817","https://openalex.org/W2070450685","https://openalex.org/W2116878849","https://openalex.org/W2136922672","https://openalex.org/W2160815625","https://openalex.org/W2167341025","https://openalex.org/W2171815504","https://openalex.org/W2182920677","https://openalex.org/W2397254463","https://openalex.org/W2397839461","https://openalex.org/W2400346108","https://openalex.org/W2400697507","https://openalex.org/W2400830530","https://openalex.org/W2402768323","https://openalex.org/W3127686677","https://openalex.org/W6601785968","https://openalex.org/W6677155281","https://openalex.org/W6686034693","https://openalex.org/W6712531188","https://openalex.org/W6712662408","https://openalex.org/W6713030564","https://openalex.org/W6789826613"],"related_works":["https://openalex.org/W2126495382","https://openalex.org/W2400697507","https://openalex.org/W3142616080","https://openalex.org/W2132462584","https://openalex.org/W2147611552","https://openalex.org/W2114712585","https://openalex.org/W2101490115","https://openalex.org/W2142715580","https://openalex.org/W3135807828","https://openalex.org/W2168435653"],"abstract_inverted_index":{"Many":[0],"artificial":[1],"speech":[2,61,110],"bandwidth":[3],"extension":[4],"(ABE)":[5],"approaches":[6,52],"perform":[7,30],"source-filter":[8],"decomposition":[9],"of":[10,18,34,42,75,89,93],"the":[11,76,90,94,98],"input":[12],"narrowband":[13],"speech,":[14],"with":[15,105],"subsequent":[16],"computation":[17],"upper":[19,95],"frequency":[20],"band":[21,96,100],"(UB)":[22],"spectral":[23,79],"envelope":[24,49],"posteriors.":[25],"In":[26],"this":[27,67],"paper":[28],"we":[29],"a":[31,72,85],"direct":[32],"comparison":[33],"HMM-":[35],"and":[36],"deep":[37],"neural":[38],"network":[39],"(DNN)-based":[40],"modeling":[41],"likelihoods":[43],"or":[44],"posteriors":[45],"for":[46,113],"ABE":[47,109],"UB":[48,78],"estimation.":[50],"DNN-based":[51],"turn":[53],"out":[54],"to":[55,71,84],"significantly":[56],"exceed":[57],"GMM-based":[58],"ones":[59],"in":[60],"quality.":[62],"Further":[63],"analysis":[64],"reveals":[65],"that":[66],"is":[68],"not":[69],"due":[70,83],"better":[73,87],"shape":[74],"estimated":[77],"envelope,":[80],"but":[81],"primarily":[82],"much":[86],"estimate":[88],"energy":[91],"ratio":[92],"vs.":[97],"lower":[99],"-":[101],"an":[102],"important":[103],"result":[104],"significant":[106],"impact":[107],"on":[108],"quality":[111],"particularly":[112],"fricative":[114],"sounds.":[115]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}