{"id":"https://openalex.org/W3009547430","doi":"https://doi.org/10.1109/gcce46687.2019.9015291","title":"Investigation on latency issues and objective measurements of non-linear blind bandwidth extension","display_name":"Investigation on latency issues and objective measurements of non-linear blind bandwidth extension","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3009547430","doi":"https://doi.org/10.1109/gcce46687.2019.9015291","mag":"3009547430"},"language":"en","primary_location":{"id":"doi:10.1109/gcce46687.2019.9015291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce46687.2019.9015291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 8th Global Conference on Consumer Electronics (GCCE)","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/A5001899616","display_name":"Haruna Miyamoto","orcid":null},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Haruna Miyamoto","raw_affiliation_strings":["Tokyo Metropolitan University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067910092","display_name":"Sayaka Shiota","orcid":"https://orcid.org/0000-0002-2364-068X"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sayaka Shiota","raw_affiliation_strings":["Tokyo Metropolitan University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015250468","display_name":"Hitoshi Kiya","orcid":"https://orcid.org/0000-0001-8061-3090"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hitoshi Kiya","raw_affiliation_strings":["Tokyo Metropolitan University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001899616"],"corresponding_institution_ids":["https://openalex.org/I69740276"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19084713,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":null,"first_page":"686","last_page":"688"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9991999864578247,"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":0.9991000294685364,"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":0.8003714084625244},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.7297613620758057},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6956942677497864},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.5231108069419861},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4078482985496521},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32062476873397827},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3084493577480316},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1752631664276123}],"concepts":[{"id":"https://openalex.org/C9387945","wikidata":"https://www.wikidata.org/wiki/Q4854770","display_name":"Bandwidth extension","level":4,"score":0.8003714084625244},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.7297613620758057},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6956942677497864},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.5231108069419861},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4078482985496521},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32062476873397827},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3084493577480316},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1752631664276123},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","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":2,"locations":[{"id":"doi:10.1109/gcce46687.2019.9015291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce46687.2019.9015291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 8th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"},{"id":"mag:3086157327","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002212468984516","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W88987024","https://openalex.org/W2098990405","https://openalex.org/W2141998673","https://openalex.org/W2245490339","https://openalex.org/W2516764878","https://openalex.org/W2801903454","https://openalex.org/W2890648862","https://openalex.org/W2892335023","https://openalex.org/W2922461178","https://openalex.org/W2973118566","https://openalex.org/W6603544697","https://openalex.org/W6675033622"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W4319862422","https://openalex.org/W3207737697","https://openalex.org/W2017964352","https://openalex.org/W3144767625","https://openalex.org/W2097303478","https://openalex.org/W2056058148","https://openalex.org/W2004463313","https://openalex.org/W1530811875"],"abstract_inverted_index":{"This":[0,47],"paper":[1,48],"investigates":[2],"the":[3,36,51,71],"algorithmic":[4],"latency":[5],"of":[6],"non-learning":[7,52],"blind":[8,53],"bandwidth":[9],"extension":[10],"(BWE)":[11],"approaches,":[12],"and":[13,38,61],"evaluates":[14],"their":[15],"quality":[16],"with":[17,77],"objective":[18],"measurements.":[19],"BWE":[20,43,54,65],"methods":[21,25],"are":[22,45],"regarded":[23],"as":[24,57],"for":[26],"restoring":[27],"high-frequency":[28],"losses":[29],"caused":[30],"by":[31],"band":[32],"limits.":[33],"To":[34],"satisfy":[35],"restriction":[37],"provide":[39],"high-quality":[40],"sound,":[41],"low-latency":[42],"techniques":[44],"required.":[46],"focuses":[49],"on":[50],"methods,":[55],"such":[56],"spectral":[58],"shifting-based":[59],"approaches":[60],"non-linear":[62],"function":[63],"based":[64],"(N-BWE).":[66],"The":[67],"results":[68],"proved":[69],"that":[70],"N-BWE":[72],"method":[73],"can":[74],"be":[75],"performed":[76],"low-latency.":[78]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}