{"id":"https://openalex.org/W3113872794","doi":"https://doi.org/10.1109/wcsp49889.2020.9299782","title":"Helium Speech Correction Algorithm Based on Deep Neural Networks","display_name":"Helium Speech Correction Algorithm Based on Deep Neural Networks","publication_year":2020,"publication_date":"2020-10-21","ids":{"openalex":"https://openalex.org/W3113872794","doi":"https://doi.org/10.1109/wcsp49889.2020.9299782","mag":"3113872794"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp49889.2020.9299782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp49889.2020.9299782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Wireless Communications and Signal Processing (WCSP)","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/A5100417601","display_name":"Dongmei Li","orcid":"https://orcid.org/0000-0001-9140-2483"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongmei Li","raw_affiliation_strings":["School of Information Science and Technology, Nantong University, Nantong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102928988","display_name":"Shibing Zhang","orcid":"https://orcid.org/0000-0001-8836-376X"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shibing Zhang","raw_affiliation_strings":["School of Information Science and Technology, Nantong University, Nantong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055229622","display_name":"Lili Guo","orcid":"https://orcid.org/0000-0002-5526-0980"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lili Guo","raw_affiliation_strings":["Xinglin College, Nantong University, Nantong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinglin College, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101947957","display_name":"Yonghong Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghong Chen","raw_affiliation_strings":["Xinglin College, Nantong University, Nantong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinglin College, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.17637101,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"99","last_page":"103"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9930999875068665,"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":0.9930999875068665,"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":0.984000027179718,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9668999910354614,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/formant","display_name":"Formant","score":0.8547605872154236},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6849241852760315},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5930349230766296},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5785279273986816},{"id":"https://openalex.org/keywords/helium","display_name":"Helium","score":0.5718849897384644},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4840640127658844},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.4403446912765503},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.43699344992637634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2915431261062622},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17607823014259338},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15206581354141235}],"concepts":[{"id":"https://openalex.org/C158215666","wikidata":"https://www.wikidata.org/wiki/Q1414685","display_name":"Formant","level":3,"score":0.8547605872154236},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6849241852760315},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5930349230766296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5785279273986816},{"id":"https://openalex.org/C546029482","wikidata":"https://www.wikidata.org/wiki/Q560","display_name":"Helium","level":2,"score":0.5718849897384644},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4840640127658844},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.4403446912765503},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.43699344992637634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2915431261062622},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17607823014259338},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15206581354141235},{"id":"https://openalex.org/C2779581591","wikidata":"https://www.wikidata.org/wiki/Q36244","display_name":"Vowel","level":2,"score":0.0},{"id":"https://openalex.org/C184779094","wikidata":"https://www.wikidata.org/wiki/Q26383","display_name":"Atomic physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp49889.2020.9299782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp49889.2020.9299782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W97015240","https://openalex.org/W1543695791","https://openalex.org/W1990703399","https://openalex.org/W2039054816","https://openalex.org/W2044893557","https://openalex.org/W2047601465","https://openalex.org/W2076799970","https://openalex.org/W2095446229","https://openalex.org/W2133541109","https://openalex.org/W2134980878","https://openalex.org/W2139713093","https://openalex.org/W2158787208","https://openalex.org/W2160815625","https://openalex.org/W2170738476","https://openalex.org/W2184045248","https://openalex.org/W2342543219","https://openalex.org/W2361562685","https://openalex.org/W2364930986","https://openalex.org/W2766177643","https://openalex.org/W2951359136","https://openalex.org/W3039496040","https://openalex.org/W6685160515"],"related_works":["https://openalex.org/W2124070307","https://openalex.org/W2981428355","https://openalex.org/W1834994814","https://openalex.org/W2041273198","https://openalex.org/W1599055764","https://openalex.org/W2131711534","https://openalex.org/W2149163000","https://openalex.org/W2962858469","https://openalex.org/W2289873871","https://openalex.org/W2559040841"],"abstract_inverted_index":{"Unscrambling":[0],"helium":[1,18,23,39,56,93],"speech":[2,19,24,40,57,94],"is":[3,28,70],"an":[4],"important":[5],"technology":[6,16],"in":[7,77],"saturation":[8],"diving.":[9],"This":[10],"paper":[11],"focused":[12],"on":[13,30],"the":[14,36,43,55,59,63,74,78,85,90],"unscrambling":[15],"of":[17,38,62,92],"and":[20,41,52],"proposed":[21,87],"a":[22],"correction":[25,79],"algorithm":[26,86],"that":[27,84],"based":[29],"deep":[31,64],"neural":[32,65,75],"networks.":[33,66],"It":[34],"analyzed":[35],"features":[37],"extracted":[42],"four":[44],"features,":[45],"formant":[46,48,50],"frequency,":[47],"bandwidth,":[49],"amplitude":[51],"pitch,":[53],"from":[54],"as":[58],"characteristic":[60],"inputs":[61],"The":[67],"back":[68],"propagation":[69],"used":[71],"to":[72],"train":[73],"network":[76],"algorithm.":[80],"Simulation":[81],"results":[82],"show":[83],"would":[88],"correct":[89],"distortions":[91],"effectively.":[95]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}