{"id":"https://openalex.org/W2183743709","doi":"https://doi.org/10.1109/icarcv.2004.1468997","title":"Non-linear predictor based on ANN in speech coding","display_name":"Non-linear predictor based on ANN in speech coding","publication_year":2005,"publication_date":"2005-07-27","ids":{"openalex":"https://openalex.org/W2183743709","doi":"https://doi.org/10.1109/icarcv.2004.1468997","mag":"2183743709"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2004.1468997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5103116806","display_name":"Linsheng Li","orcid":"https://orcid.org/0000-0002-8032-0906"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"None Li Lin-sheng","raw_affiliation_strings":["College of Electronics and Information, Taiyuan University of Science and Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"College of Electronics and Information, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100615341","display_name":"Zhiyi Sun","orcid":"https://orcid.org/0000-0003-4554-1057"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"None Sun Zhi-yi","raw_affiliation_strings":["College of Electronics and Information, Taiyuan University of Science and Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"College of Electronics and Information, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003248833","display_name":"Anhong Wang","orcid":"https://orcid.org/0000-0001-5413-0490"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"None Wang An-hong","raw_affiliation_strings":["College of Electronics and Information, Taiyuan University of Science and Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"College of Electronics and Information, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100389148","display_name":"Zhihong Li","orcid":"https://orcid.org/0000-0001-6802-6731"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"None Li Zhi-hong","raw_affiliation_strings":["College of Electronics and Information, Taiyuan University of Science and Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"College of Electronics and Information, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.221,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":1,"citation_normalized_percentile":{"value":0.268227,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":61,"max":68},"biblio":{"volume":"2","issue":null,"first_page":"1098","last_page":"1103"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9921,"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/T10320","display_name":"Neural Networks and Applications","score":0.9921,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9904,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14225","display_name":"Advanced Sensor and Control Systems","score":0.9862,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/linear-prediction","display_name":"Linear prediction","score":0.66487294}],"concepts":[{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.77947533},{"id":"https://openalex.org/C59883199","wikidata":"https://www.wikidata.org/wiki/Q1826438","display_name":"Linear predictive coding","level":3,"score":0.7726824},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7441138},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.70737624},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.66487294},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6556436},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5054872},{"id":"https://openalex.org/C138807605","wikidata":"https://www.wikidata.org/wiki/Q7917845","display_name":"Vector sum excited linear prediction","level":5,"score":0.50494176},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.48706582},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4663887},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.4617735},{"id":"https://openalex.org/C105964291","wikidata":"https://www.wikidata.org/wiki/Q856184","display_name":"Code-excited linear prediction","level":4,"score":0.4401405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4232995},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.41228402},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34774303},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23541328},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13176909},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09288791}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2004.1468997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":1,"referenced_works":["https://openalex.org/W2155399784"],"related_works":["https://openalex.org/W4301029372","https://openalex.org/W2350749055","https://openalex.org/W2148904379","https://openalex.org/W2119342582","https://openalex.org/W2114934544","https://openalex.org/W2111369522","https://openalex.org/W2051489660","https://openalex.org/W1982751076","https://openalex.org/W1629698752","https://openalex.org/W1570840316"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"non-linear":[3],"predictors":[4],"based":[5,56,71],"on":[6,57,72],"different":[7],"artificial":[8],"neural":[9,19],"network":[10],"(ANN)":[11],"are":[12],"compared.":[13],"General":[14],"radical":[15],"basis":[16],"function":[17],"(GERBF)":[18],"network,":[20,24],"a":[21],"modified":[22],"RBF":[23],"is":[25,36],"introduced.":[26],"From":[27],"the":[28,43,52,67],"comparison":[29],"with":[30],"BP,":[31],"RNN":[32],"and":[33,66],"RBF,":[34],"it":[35],"obvious":[37],"that":[38,83],"GERBF":[39,73],"has":[40,74],"priority":[41],"in":[42],"prediction":[44],"of":[45,84],"speech":[46,53,62,68],"signal.":[47],"The":[48],"experiment":[49],"results":[50],"show:":[51],"coding":[54,69],"systems":[55],"ANN":[58],"have":[59],"better":[60],"synthesized":[61],"than":[63,82],"ITU's":[64],"G721":[65],"system":[70],"higher":[75],"mean":[76],"segmental":[77],"SNR":[78],"but":[79],"less":[80],"computation":[81],"other":[85],"systems.":[86]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2183743709","counts_by_year":[],"updated_date":"2025-04-18T01:39:00.874114","created_date":"2016-06-24"}