{"id":"https://openalex.org/W1835040366","doi":"https://doi.org/10.1109/glocom.2001.966222","title":"Sparsity compensation for speech coders","display_name":"Sparsity compensation for speech coders","publication_year":2002,"publication_date":"2002-11-13","ids":{"openalex":"https://openalex.org/W1835040366","doi":"https://doi.org/10.1109/glocom.2001.966222","mag":"1835040366"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2001.966222","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2001.966222","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270)","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/A5021252790","display_name":"Miguel Arjona Ram\u00edrez","orcid":"https://orcid.org/0000-0002-7107-0888"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"M.A. Ramirez","raw_affiliation_strings":["Electronic Systems Engineering DepartmentEscola Politecnica, University of Sao Paulo, Sao Paulo, Brazil","Dept. of Electron. Syst. Eng., Sao Paulo Univ., Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Systems Engineering DepartmentEscola Politecnica, University of Sao Paulo, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]},{"raw_affiliation_string":"Dept. of Electron. Syst. Eng., Sao Paulo Univ., Brazil","institution_ids":["https://openalex.org/I17974374"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5021252790"],"corresponding_institution_ids":["https://openalex.org/I17974374"],"apc_list":null,"apc_paid":null,"fwci":0.204,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.3745114,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"2475","last_page":"2478"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":1.0,"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":1.0,"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":0.9994000196456909,"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/T10860","display_name":"Speech and Audio Processing","score":0.9993000030517578,"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":0.6877944469451904},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6823780536651611},{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.6637114882469177},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.5950155258178711},{"id":"https://openalex.org/keywords/linear-prediction","display_name":"Linear prediction","score":0.48094505071640015},{"id":"https://openalex.org/keywords/full-rate","display_name":"Full Rate","score":0.4577992260456085},{"id":"https://openalex.org/keywords/linear-predictive-coding","display_name":"Linear predictive coding","score":0.4553937315940857},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.4472452700138092},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3472314178943634},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3061872124671936},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08487910032272339}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6877944469451904},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6823780536651611},{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.6637114882469177},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.5950155258178711},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.48094505071640015},{"id":"https://openalex.org/C197477341","wikidata":"https://www.wikidata.org/wiki/Q2532845","display_name":"Full Rate","level":3,"score":0.4577992260456085},{"id":"https://openalex.org/C59883199","wikidata":"https://www.wikidata.org/wiki/Q1826438","display_name":"Linear predictive coding","level":3,"score":0.4553937315940857},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.4472452700138092},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3472314178943634},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3061872124671936},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08487910032272339}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocom.2001.966222","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2001.966222","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1838171946","https://openalex.org/W2025781735","https://openalex.org/W2101986099","https://openalex.org/W2111393885","https://openalex.org/W2128307820","https://openalex.org/W2144890310","https://openalex.org/W2159844103","https://openalex.org/W2164240893","https://openalex.org/W2164618151","https://openalex.org/W6638803473"],"related_works":["https://openalex.org/W2363056088","https://openalex.org/W2365133740","https://openalex.org/W2110059311","https://openalex.org/W1570840316","https://openalex.org/W1510556297","https://openalex.org/W2350749055","https://openalex.org/W2378944441","https://openalex.org/W2155796184","https://openalex.org/W2794974041","https://openalex.org/W1970112520"],"abstract_inverted_index":{"Sparse":[0],"excitation":[1],"from":[2],"fixed":[3,68],"codebooks":[4],"provides":[5],"for":[6,31],"efficient":[7,144],"search":[8,84],"algorithms":[9],"and":[10,74,82,94,103,147],"high-quality":[11],"speech.":[12],"However,":[13],"as":[14],"the":[15,33,64,67,71,75,79,104,134,142],"bit":[16],"rate":[17,112],"decreases,":[18],"sparsity":[19,117],"causes":[20],"hearing":[21,136],"effects":[22],"that":[23,127],"may":[24],"be":[25],"phase-compensated.":[26],"A":[27],"procedure":[28],"is":[29,138],"described":[30],"training":[32],"impulse":[34],"response":[35],"of":[36,63,97],"a":[37,42],"phase":[38],"compensation":[39,59,118],"filter":[40],"over":[41],"large":[43],"database.":[44],"Two":[45],"four-pulse":[46],"ACELP":[47],"(algebraic":[48],"code-excited":[49],"linear":[50],"predictive)":[51],"coders":[52,65,99,113],"operating":[53],"at":[54,100,107],"5.3":[55,101],"kbit/s":[56,102,131],"have":[57],"their":[58],"filters":[60],"trained.":[61],"One":[62],"searches":[66],"codebook":[69],"with":[70,115,129,141],"focused":[72],"algorithm":[73],"other":[76],"one":[77],"uses":[78],"joint":[80,145],"position":[81,146],"amplitude":[83,148],"(JPAS)":[85],"algorithm.":[86],"Listening":[87],"tests":[88],"were":[89],"performed":[90],"involving":[91],"both":[92],"compensated":[93],"uncompensated":[95,105],"versions":[96],"these":[98],"version":[106],"8":[108,130],"kbit/s.":[109],"The":[110],"lower":[111],"provided":[114],"trained":[116],"are":[119],"perceived":[120],"to":[121,126],"deliver":[122],"speech":[123],"quality":[124],"equivalent":[125],"achieved":[128],"coders.":[132],"Additionally,":[133],"beneficial":[135],"effect":[137],"more":[139],"pronounced":[140],"computationally":[143],"search.":[149]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
