{"id":"https://openalex.org/W151070406","doi":"https://doi.org/10.21437/interspeech.2009-37","title":"Dimension reducing of LSF parameters based on radial basis function neural network","display_name":"Dimension reducing of LSF parameters based on radial basis function neural network","publication_year":2009,"publication_date":"2009-09-06","ids":{"openalex":"https://openalex.org/W151070406","doi":"https://doi.org/10.21437/interspeech.2009-37","mag":"151070406"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2009-37","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2009-37","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2009","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/A5101584826","display_name":"Hongjun Sun","orcid":"https://orcid.org/0000-0001-6555-6833"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongjun Sun","raw_affiliation_strings":["Institute of Automation , Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Automation , Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112613657","display_name":"Jianhua Tao","orcid":"https://orcid.org/0000-0002-9344-6428"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Tao","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051548889","display_name":"Huibin Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huibin Jia","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101584826"],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.01271817,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1103","last_page":"1106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9966999888420105,"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":0.9966999888420105,"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":0.98089998960495,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9724000096321106,"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/radial-basis-function","display_name":"Radial basis function","score":0.7300596833229065},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6638438701629639},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5835959911346436},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5728824138641357},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.549526572227478},{"id":"https://openalex.org/keywords/basis-function","display_name":"Basis function","score":0.5396485328674316},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5246867537498474},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.5155441761016846},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5109483599662781},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4589802324771881},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4579041004180908},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4416868984699249},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3809795677661896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.355927050113678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3059571087360382},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.18274617195129395},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15853747725486755},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.06885930895805359}],"concepts":[{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.7300596833229065},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6638438701629639},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5835959911346436},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5728824138641357},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.549526572227478},{"id":"https://openalex.org/C5917680","wikidata":"https://www.wikidata.org/wiki/Q2621825","display_name":"Basis function","level":2,"score":0.5396485328674316},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5246867537498474},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.5155441761016846},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5109483599662781},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4589802324771881},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4579041004180908},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4416868984699249},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3809795677661896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.355927050113678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3059571087360382},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.18274617195129395},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15853747725486755},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.06885930895805359},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2009-37","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2009-37","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2009","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1514737389","https://openalex.org/W1948357167","https://openalex.org/W2049686551","https://openalex.org/W2072773743","https://openalex.org/W2079337129","https://openalex.org/W2090313502","https://openalex.org/W2113442785","https://openalex.org/W2121129397","https://openalex.org/W2135001774","https://openalex.org/W2169579015","https://openalex.org/W2370428860"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2102148524","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2441614350","https://openalex.org/W603561220"],"abstract_inverted_index":{"In":[0,35],"this":[1,120],"paper,":[2],"we":[3],"investigate":[4],"a":[5,76],"novel":[6],"method":[7,118],"for":[8],"transforming":[9,27,87,117],"line":[10],"spectral":[11,107],"frequency":[12],"(LSF)":[13],"parameters":[14,65],"to":[15,31,52,70,100,125],"lower":[16],"dimensional":[17],"coefficients.":[18],"Radial":[19],"basis":[20],"function":[21],"neutral":[22],"network":[23],"(RBF":[24],"NN)":[25],"based":[26],"model":[28],"is":[29],"used":[30],"fit":[32],"LSF":[33,64,78,95],"vectors.":[34],"the":[36,72,83,116],"training":[37,73],"process,":[38],"two":[39],"criterions,":[40],"including":[41],"mean":[42,47],"squared":[43,48],"error":[44],"and":[45,58],"weighted":[46],"error,":[49],"are":[50,66,80],"involved":[51],"measure":[53],"distance":[54],"between":[55],"original":[56],"vector":[57,96,103],"approximate":[59],"vector.":[60],"Besides,":[61],"features":[62],"of":[63,86,109],"taken":[67],"into":[68],"account":[69],"supervise":[71],"process.":[74],"As":[75],"result,":[77],"vectors":[79,85],"represented":[81],"by":[82],"coefficient":[84,102],"model.":[88],"The":[89],"experimental":[90],"results":[91],"reveal":[92],"that":[93,115],"24-order":[94],"can":[97],"be":[98],"transformed":[99],"15-dimension":[101],"with":[104],"an":[105],"average":[106],"distortion":[108],"approximately":[110],"1dB.":[111],"Subjective":[112],"evaluation":[113],"manifests":[114],"in":[119],"paper":[121],"will":[122],"not":[123],"lead":[124],"significant":[126],"voice":[127],"quality":[128],"decreasing.":[129]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}