{"id":"https://openalex.org/W2775602825","doi":"https://doi.org/10.1109/waspaa.2017.8170027","title":"A DNN regression approach to speech enhancement by artificial bandwidth extension","display_name":"A DNN regression approach to speech enhancement by artificial bandwidth extension","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2775602825","doi":"https://doi.org/10.1109/waspaa.2017.8170027","mag":"2775602825"},"language":"en","primary_location":{"id":"doi:10.1109/waspaa.2017.8170027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/waspaa.2017.8170027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)","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/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":true,"raw_author_name":"Johannes Abel","raw_affiliation_strings":["Institute for Communications Technology, Technische Universit\u00e4t, Braunschweig, Germany"],"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"],"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":2,"corresponding_author_ids":["https://openalex.org/A5062346765"],"corresponding_institution_ids":["https://openalex.org/I94509681"],"apc_list":null,"apc_paid":null,"fwci":1.2945,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.82419099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"219","last_page":"223"},"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":0.9995999932289124,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9970999956130981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bandwidth-extension","display_name":"Bandwidth extension","score":0.853286623954773},{"id":"https://openalex.org/keywords/narrowband","display_name":"Narrowband","score":0.754801332950592},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.751153826713562},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6847496628761292},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6209204196929932},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.6120374798774719},{"id":"https://openalex.org/keywords/telephony","display_name":"Telephony","score":0.5530958771705627},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.5365351438522339},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.43274426460266113},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4155363440513611},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4002009630203247},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.2530650198459625},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16893404722213745},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10946503281593323},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.09749314188957214},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06964665651321411},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.06951799988746643}],"concepts":[{"id":"https://openalex.org/C9387945","wikidata":"https://www.wikidata.org/wiki/Q4854770","display_name":"Bandwidth extension","level":4,"score":0.853286623954773},{"id":"https://openalex.org/C2776096036","wikidata":"https://www.wikidata.org/wiki/Q1140483","display_name":"Narrowband","level":2,"score":0.754801332950592},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.751153826713562},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6847496628761292},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6209204196929932},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.6120374798774719},{"id":"https://openalex.org/C195358072","wikidata":"https://www.wikidata.org/wiki/Q944584","display_name":"Telephony","level":2,"score":0.5530958771705627},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.5365351438522339},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.43274426460266113},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4155363440513611},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4002009630203247},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.2530650198459625},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16893404722213745},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10946503281593323},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.09749314188957214},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06964665651321411},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.06951799988746643},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/waspaa.2017.8170027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/waspaa.2017.8170027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4699999988079071,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W1517841224","https://openalex.org/W1547915404","https://openalex.org/W1576278180","https://openalex.org/W1578856370","https://openalex.org/W1923007241","https://openalex.org/W1985029311","https://openalex.org/W2004018702","https://openalex.org/W2035859817","https://openalex.org/W2116878849","https://openalex.org/W2160815625","https://openalex.org/W2167341025","https://openalex.org/W2171815504","https://openalex.org/W2182920677","https://openalex.org/W2326514337","https://openalex.org/W2397254463","https://openalex.org/W2400346108","https://openalex.org/W2400697507","https://openalex.org/W2400830530","https://openalex.org/W2401383940","https://openalex.org/W2402768323","https://openalex.org/W2518315489","https://openalex.org/W2536224642","https://openalex.org/W2761952131","https://openalex.org/W3127686677","https://openalex.org/W4244494905","https://openalex.org/W6601785968","https://openalex.org/W6677155281","https://openalex.org/W6686034693","https://openalex.org/W6712662408","https://openalex.org/W6713030564","https://openalex.org/W6789826613"],"related_works":["https://openalex.org/W3135807828","https://openalex.org/W3142616080","https://openalex.org/W2400697507","https://openalex.org/W2114712585","https://openalex.org/W2132462584","https://openalex.org/W2147611552","https://openalex.org/W1932653299","https://openalex.org/W2790274877","https://openalex.org/W22925790","https://openalex.org/W2141852988"],"abstract_inverted_index":{"Artificial":[0],"speech":[1,11,39,57,62],"bandwidth":[2],"extension":[3],"(ABE)":[4],"is":[5],"an":[6],"extremely":[7],"effective":[8],"means":[9],"for":[10],"enhancement":[12],"at":[13],"the":[14,33,36],"receiver":[15],"side":[16],"of":[17,35],"a":[18,46,64,71],"narrowband":[19,61],"telephony":[20],"call.":[21],"First":[22],"approaches":[23],"have":[24],"been":[25],"seen":[26],"incorporating":[27],"deep":[28],"neural":[29],"networks":[30],"(DNNs)":[31],"into":[32],"estimation":[34],"upper":[37],"band":[38],"representation.":[40],"In":[41],"this":[42],"paper":[43],"we":[44],"propose":[45],"regression-based":[47],"DNN":[48],"ABE":[49],"being":[50],"trained":[51],"and":[52],"tested":[53],"on":[54],"acoustically":[55],"different":[56],"databases,":[58],"exceeding":[59],"coded":[60],"by":[63],"so-far":[65],"unseen":[66],"1.37":[67],"CMOS":[68],"points":[69],"in":[70],"subjective":[72],"listening":[73],"test.":[74]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}