{"id":"https://openalex.org/W2938553806","doi":"https://doi.org/10.1109/icassp.2019.8682992","title":"Investigation on Neural Bandwidth Extension of Telephone Speech for Improved Speaker Recognition","display_name":"Investigation on Neural Bandwidth Extension of Telephone Speech for Improved Speaker Recognition","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2938553806","doi":"https://doi.org/10.1109/icassp.2019.8682992","mag":"2938553806"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8682992","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5005758272","display_name":"Phani Sankar Nidadavolu","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Phani Sankar Nidadavolu","raw_affiliation_strings":["Center for Language and Speech Processing, Johns Hopkins University, Baltimore, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Language and Speech Processing, Johns Hopkins University, Baltimore, MD","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035672186","display_name":"Vicente Iglesias","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vicente Iglesias","raw_affiliation_strings":["Center for Language and Speech Processing, Johns Hopkins University, Baltimore, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Language and Speech Processing, Johns Hopkins University, Baltimore, MD","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057010207","display_name":"Jes\u00fas Villalba","orcid":"https://orcid.org/0000-0001-9459-8426"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jesus Villalba","raw_affiliation_strings":["Center for Language and Speech Processing, Johns Hopkins University, Baltimore, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Language and Speech Processing, Johns Hopkins University, Baltimore, MD","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050632169","display_name":"Najim Dehak","orcid":"https://orcid.org/0000-0002-4489-5753"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Najim Dehak","raw_affiliation_strings":["Center for Language and Speech Processing, Johns Hopkins University, Baltimore, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Language and Speech Processing, Johns Hopkins University, Baltimore, MD","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6111","last_page":"6115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","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/T10201","display_name":"Speech Recognition and Synthesis","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/T10860","display_name":"Speech and Audio Processing","score":0.9995999932289124,"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/T11309","display_name":"Music and Audio Processing","score":0.9941999912261963,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8002835512161255},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7975990176200867},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.6475142240524292},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.522942841053009},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5227099657058716},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5207269787788391},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.5174639821052551},{"id":"https://openalex.org/keywords/bandwidth-extension","display_name":"Bandwidth extension","score":0.506604790687561},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.481374055147171},{"id":"https://openalex.org/keywords/telephony","display_name":"Telephony","score":0.477020263671875},{"id":"https://openalex.org/keywords/narrowband","display_name":"Narrowband","score":0.4470512270927429},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.4349944591522217},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.4170208275318146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3741176724433899},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.28722554445266724},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.1466657519340515},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10171544551849365}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8002835512161255},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7975990176200867},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.6475142240524292},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.522942841053009},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5227099657058716},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5207269787788391},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.5174639821052551},{"id":"https://openalex.org/C9387945","wikidata":"https://www.wikidata.org/wiki/Q4854770","display_name":"Bandwidth extension","level":4,"score":0.506604790687561},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.481374055147171},{"id":"https://openalex.org/C195358072","wikidata":"https://www.wikidata.org/wiki/Q944584","display_name":"Telephony","level":2,"score":0.477020263671875},{"id":"https://openalex.org/C2776096036","wikidata":"https://www.wikidata.org/wiki/Q1140483","display_name":"Narrowband","level":2,"score":0.4470512270927429},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.4349944591522217},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.4170208275318146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3741176724433899},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.28722554445266724},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.1466657519340515},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10171544551849365},{"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/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/icassp.2019.8682992","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6200000047683716,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1517841224","https://openalex.org/W1524333225","https://openalex.org/W2013598660","https://openalex.org/W2095705004","https://openalex.org/W2194775991","https://openalex.org/W2294814385","https://openalex.org/W2331128040","https://openalex.org/W2344594423","https://openalex.org/W2399742709","https://openalex.org/W2550246519","https://openalex.org/W2726515241","https://openalex.org/W2888908158","https://openalex.org/W2890964092","https://openalex.org/W6631362777","https://openalex.org/W6674330103","https://openalex.org/W6702130928","https://openalex.org/W6712300757","https://openalex.org/W6729491343"],"related_works":["https://openalex.org/W1566335087","https://openalex.org/W2294333436","https://openalex.org/W2168133875","https://openalex.org/W2428151506","https://openalex.org/W1999397223","https://openalex.org/W2653598178","https://openalex.org/W2126095329","https://openalex.org/W2747006289","https://openalex.org/W2072884270","https://openalex.org/W2851491717"],"abstract_inverted_index":{"We":[0],"extend":[1],"our":[2],"previous":[3],"work":[4],"on":[5],"training":[6],"mixed-bandwidth":[7],"(BW)":[8],"speaker":[9],"recognition":[10,97],"system":[11,122],"by":[12,35,124,148],"predicting":[13],"missing":[14],"information":[15,48],"in":[16,46,50,105,129],"upperband":[17],"(UB)":[18],"of":[19,38,62,92,115],"upsampled":[20],"telephone":[21,94],"speech.":[22,54,95],"Mixed-BW":[23],"systems":[24,98],"combine":[25],"speech":[26,33,40],"from":[27],"narrowband":[28],"(NB)":[29],"and":[30,70,109,126,138,146,150],"wideband":[31],"(WB)":[32],"corpora":[34],"basic":[36],"upsampling":[37],"NB":[39,93,110,144],"with":[41,80,100],"low-pass":[42],"filter":[43],"interpolator,":[44],"resulting":[45],"no":[47],"loss":[49],"the":[51,60,120,130,143,154],"original":[52],"WB":[53],"In":[55,113,132],"this":[56],"work,":[57],"we":[58],"explore":[59],"usage":[61],"a":[63,71,81],"deep":[64,84],"residual":[65],"full-convolutional":[66],"neural":[67,85],"network":[68,78,86],"(CNN)":[69],"bidirectional":[72],"long":[73],"short":[74],"term":[75],"memory":[76],"(BLSTM)":[77],"along":[79],"previously":[82],"proposed":[83],"(DNN)":[87],"for":[88],"bandwidth":[89,101],"extension":[90],"(BWE)":[91],"Speaker":[96],"trained":[99],"extended":[102],"features":[103],"improved":[104,123,147],"performance":[106],"over":[107],"mixed-BW":[108,155],"baseline":[111],"systems.":[112],"terms":[114],"detection":[116],"cost":[117],"function":[118],"(DCF),":[119],"CNN-BWE":[121],"10.78%":[125],"15.96%":[127],"(relative)":[128],"Speakers":[131],"The":[133],"Wild":[134],"(SITW)":[135],"eval":[136],"core":[137],"assist-multi-speaker":[139],"condition":[140],"respectively":[141],"w.r.t.":[142,152],"baseline;":[145],"3.21%":[149],"4.13%":[151],"to":[153],"baseline.":[156]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}