{"id":"https://openalex.org/W2015679331","doi":"https://doi.org/10.1109/coginf.2009.5250762","title":"Fractal modelling of residues in linear predictive coding of speech","display_name":"Fractal modelling of residues in linear predictive coding of speech","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2015679331","doi":"https://doi.org/10.1109/coginf.2009.5250762","mag":"2015679331"},"language":"en","primary_location":{"id":"doi:10.1109/coginf.2009.5250762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginf.2009.5250762","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 8th IEEE International Conference on Cognitive Informatics","raw_type":"proceedings-article"},"type":"conference-paper","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/A5038834884","display_name":"Witold Kinsner","orcid":"https://orcid.org/0000-0002-6759-1410"},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Witold Kinsner","raw_affiliation_strings":["Institute of Industrial Mathematical Sciences, Telecommunications Research Laboratory, Canada","Signal and Data Compression Laboratory, Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MAN, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Mathematical Sciences, Telecommunications Research Laboratory, Canada","institution_ids":[]},{"raw_affiliation_string":"Signal and Data Compression Laboratory, Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MAN, Canada","institution_ids":["https://openalex.org/I46247651"]}]},{"author_position":"last","author":{"id":null,"display_name":"Epiphany Vera","orcid":null},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Epiphany Vera","raw_affiliation_strings":["Institute of Industrial Mathematical Sciences, Telecommunications Research Laboratory, Canada","Signal and Data Compression Laboratory, Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MAN, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Mathematical Sciences, Telecommunications Research Laboratory, Canada","institution_ids":[]},{"raw_affiliation_string":"Signal and Data Compression Laboratory, Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MAN, Canada","institution_ids":["https://openalex.org/I46247651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I46247651"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.07883666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"181","last_page":"187"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9972000122070312,"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":0.9972000122070312,"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":0.9933000206947327,"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/T10320","display_name":"Neural Networks and Applications","score":0.9919999837875366,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.7228104472160339},{"id":"https://openalex.org/keywords/linear-predictive-coding","display_name":"Linear predictive coding","score":0.6946288347244263},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6875898241996765},{"id":"https://openalex.org/keywords/fractal","display_name":"Fractal","score":0.6779857873916626},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6428737640380859},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6289851069450378},{"id":"https://openalex.org/keywords/linear-prediction","display_name":"Linear prediction","score":0.5727344155311584},{"id":"https://openalex.org/keywords/vector-sum-excited-linear-prediction","display_name":"Vector sum excited linear prediction","score":0.46204325556755066},{"id":"https://openalex.org/keywords/code-excited-linear-prediction","display_name":"Code-excited linear prediction","score":0.44484689831733704},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30900663137435913},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2625512480735779}],"concepts":[{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.7228104472160339},{"id":"https://openalex.org/C59883199","wikidata":"https://www.wikidata.org/wiki/Q1826438","display_name":"Linear predictive coding","level":3,"score":0.6946288347244263},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6875898241996765},{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.6779857873916626},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6428737640380859},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6289851069450378},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.5727344155311584},{"id":"https://openalex.org/C138807605","wikidata":"https://www.wikidata.org/wiki/Q7917845","display_name":"Vector sum excited linear prediction","level":5,"score":0.46204325556755066},{"id":"https://openalex.org/C105964291","wikidata":"https://www.wikidata.org/wiki/Q856184","display_name":"Code-excited linear prediction","level":4,"score":0.44484689831733704},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30900663137435913},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2625512480735779},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coginf.2009.5250762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginf.2009.5250762","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 8th IEEE International Conference on Cognitive Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W122442673","https://openalex.org/W127492317","https://openalex.org/W1480641399","https://openalex.org/W1528176576","https://openalex.org/W1833277791","https://openalex.org/W1979843796","https://openalex.org/W2004217976","https://openalex.org/W2024140453","https://openalex.org/W2029512392","https://openalex.org/W2057326686","https://openalex.org/W2058757475","https://openalex.org/W2081101117","https://openalex.org/W2100602037","https://openalex.org/W2115755118","https://openalex.org/W2130602610","https://openalex.org/W2131603149","https://openalex.org/W2137555357","https://openalex.org/W2142153191","https://openalex.org/W2147614994","https://openalex.org/W2161795588","https://openalex.org/W2176434716","https://openalex.org/W3094114204","https://openalex.org/W4214540058","https://openalex.org/W4243797255"],"related_works":["https://openalex.org/W1570840316","https://openalex.org/W1982751076","https://openalex.org/W2051489660","https://openalex.org/W2119342582","https://openalex.org/W2794974041","https://openalex.org/W2350749055","https://openalex.org/W1042315724","https://openalex.org/W2148904379","https://openalex.org/W2111369522","https://openalex.org/W2114934544"],"abstract_inverted_index":{"This":[0,22],"paper":[1,70],"describes":[2],"a":[3,36,107],"novel":[4],"approach":[5],"of":[6,11,20,39,51,60,110,126],"fractal":[7,71,82,101],"modelling":[8,50,59,72,83],"and":[9,66],"coding":[10,19],"residuals":[12],"for":[13],"excitation":[14],"in":[15,48,57],"the":[16,28,49,52,58,61,77,85,98,118,127],"linear":[17],"predictive":[18],"speech.":[21,40],"work":[23],"was":[24,95],"motivated":[25],"by":[26],"reducing":[27],"bit":[29],"rate":[30],"to":[31,75,121,124],"1200":[32],"bps,":[33],"while":[34,87],"maintaining":[35,88],"good":[37],"quality":[38,65,120],"Linear":[41],"prediction":[42],"based":[43],"speech":[44,93],"coders":[45],"differ":[46],"primarily":[47],"residual.":[53,78],"The":[54,103],"design":[55],"trade-off":[56],"residual":[62],"is":[63,73],"between":[64],"bit-rate.":[67],"In":[68],"this":[69],"used":[74],"model":[76],"We":[79],"show":[80],"that":[81,125],"reduces":[84],"bit-rate":[86],"quality.":[89],"A":[90],"6":[91],"kbps":[92,129],"coder":[94,105],"implemented":[96],"using":[97],"piecewise":[99],"self-affine":[100],"model.":[102],"new":[104],"has":[106],"signal-to-noise":[108],"ratio":[109],"10.9":[111],"dB.":[112],"An":[113],"informal":[114],"subjective":[115],"measure":[116],"found":[117],"perceptual":[119],"be":[122],"comparable":[123],"13":[128],"GSM":[130],"coder.":[131]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
