{"id":"https://openalex.org/W11431900","doi":"https://doi.org/10.21437/icslp.1998-387","title":"Efficient quantization of LSF parameters based on temporal decomposition","display_name":"Efficient quantization of LSF parameters based on temporal decomposition","publication_year":1998,"publication_date":"1998-11-30","ids":{"openalex":"https://openalex.org/W11431900","doi":"https://doi.org/10.21437/icslp.1998-387","mag":"11431900"},"language":"en","primary_location":{"id":"doi:10.21437/icslp.1998-387","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.1998-387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"5th International Conference on Spoken Language Processing (ICSLP 1998)","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/A5100506835","display_name":"Sung Joo Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sung Joo Kim","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330705","display_name":"Sang-Ho Lee","orcid":"https://orcid.org/0000-0002-2288-4527"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sangho Lee","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051813917","display_name":"Woo-Jin Han","orcid":"https://orcid.org/0000-0002-2232-9849"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Woo Jin Han","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5102033860","display_name":"Yung Hwan Oh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yung Hwan Oh","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100506835"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0138,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74841365,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"paper 0469","last_page":"0"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9955999851226807,"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":0.6091254949569702},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5904801487922668},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.46704477071762085},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.454472154378891},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3467981219291687}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6091254949569702},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5904801487922668},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.46704477071762085},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.454472154378891},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3467981219291687},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.21437/icslp.1998-387","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.1998-387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"5th International Conference on Spoken Language Processing (ICSLP 1998)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.44.2610","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.44.2610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://bulsai.kaist.ac.kr/~sung/PAPERS/icslp98.ps","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.585.403","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.585.403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://vilab.kaist.ac.kr/result/upfile/outsoc/ecca50be_1998_Efficient Quantization Of LSF Parameters Based on Temporal Decomposition.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1501095260","https://openalex.org/W1560013842","https://openalex.org/W2124417789","https://openalex.org/W2124833343","https://openalex.org/W2138252835","https://openalex.org/W2158358098"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0,151],"this":[1,18],"paper,":[2],"we":[3],"present":[4],"a":[5,54,69,92,99,104,125],"restricted":[6],"temporal":[7,89,118],"decomposition":[8,90,119],"method":[9,19,93],"for":[10],"LSF":[11,25,39],"parameters.":[12],"The":[13,88,116],"event":[14,109,113,123,140],"vectors":[15,114,141],"estimated":[16,139],"by":[17],"preserve":[20],"the":[21,46,64,72,129,135,138,147],"ordering":[22],"property":[23],"of":[24,48,63,75,94,106,128,137,146,153],"parameters":[26,40],"so":[27,134],"that":[28,37,121,145],"they":[29],"can":[30,41],"be":[31,42],"quantized":[32,43],"efficiently.":[33],"Experimental":[34],"results":[35],"show":[36],"interpolated":[38],"transparently":[44],"at":[45,57],"rate":[47],"753":[49],"bps.":[50],"We":[51],"also":[52],"design":[53],"LPC":[55],"vocoder":[56,77],"996":[58],"bps":[59,84],"as":[60],"an":[61],"application":[62],"proposed":[65],"method.":[66],"According":[67],"to":[68],"listening":[70],"test,":[71],"reconstructed":[73],"speech":[74,95],"our":[76],"has":[78],"reasonable":[79],"quality":[80],"compared":[81],"with":[82],"2400":[83],"LPC10e.":[85],"1.":[86],"INTRODUCTION":[87],"is":[91,124,142],"coding":[96],"which":[97],"decomposes":[98],"given":[100,130,148],"vector":[101,131,149],"trajectory":[102,132],"into":[103],"set":[105],"temporally":[107],"overlapping":[108],"functions":[110],"and":[111],"corresponding":[112],"[1,2,3].":[115],"original":[117],"assumes":[120],"each":[122],"superposed":[126],"component":[127],"[1],":[133],"distribution":[136],"different":[143],"from":[144],"trajectory.":[150],"case":[152],"LAR":[154],"o...":[155]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
