{"id":"https://openalex.org/W2125977285","doi":"https://doi.org/10.1109/icassp.2010.5495188","title":"Low-complexity PARCOR coefficient quantizer and prediction order estimator for lossless speech coding","display_name":"Low-complexity PARCOR coefficient quantizer and prediction order estimator for lossless speech coding","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2125977285","doi":"https://doi.org/10.1109/icassp.2010.5495188","mag":"2125977285"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2010.5495188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5029262432","display_name":"Yutaka Kamamoto","orcid":"https://orcid.org/0000-0001-6578-9178"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yutaka Kamamoto","raw_affiliation_strings":["NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Japan","NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Japan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Japan#TAB#","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076091643","display_name":"Takehiro Moriya","orcid":"https://orcid.org/0000-0003-4591-1273"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takehiro Moriya","raw_affiliation_strings":["NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Japan","NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Japan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Japan#TAB#","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054467679","display_name":"Noboru Harada","orcid":"https://orcid.org/0000-0002-1759-4533"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Noboru Harada","raw_affiliation_strings":["NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Japan","NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Japan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Japan#TAB#","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":null,"apc_paid":null,"fwci":0.8159,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73498558,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"4678","last_page":"4681"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9983999729156494,"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":0.9983999729156494,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9836999773979187,"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/speech-coding","display_name":"Speech coding","score":0.7151809930801392},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.6547337174415588},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6316027045249939},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.6155368089675903},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6068361401557922},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5806058645248413},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.5711743235588074},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5671838521957397},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5351470708847046},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5109156966209412},{"id":"https://openalex.org/keywords/linear-predictive-coding","display_name":"Linear predictive coding","score":0.5020651817321777},{"id":"https://openalex.org/keywords/harmonic-vector-excitation-coding","display_name":"Harmonic Vector Excitation Coding","score":0.49232256412506104},{"id":"https://openalex.org/keywords/linear-prediction","display_name":"Linear prediction","score":0.48715731501579285},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.48453301191329956},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4768986701965332},{"id":"https://openalex.org/keywords/mean-squared-prediction-error","display_name":"Mean squared prediction error","score":0.42507725954055786},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.3696930408477783},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2806518077850342},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11892572045326233}],"concepts":[{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.7151809930801392},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.6547337174415588},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6316027045249939},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.6155368089675903},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6068361401557922},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5806058645248413},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.5711743235588074},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5671838521957397},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5351470708847046},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5109156966209412},{"id":"https://openalex.org/C59883199","wikidata":"https://www.wikidata.org/wiki/Q1826438","display_name":"Linear predictive coding","level":3,"score":0.5020651817321777},{"id":"https://openalex.org/C80167644","wikidata":"https://www.wikidata.org/wiki/Q463990","display_name":"Harmonic Vector Excitation Coding","level":3,"score":0.49232256412506104},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.48715731501579285},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.48453301191329956},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4768986701965332},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.42507725954055786},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.3696930408477783},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2806518077850342},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11892572045326233},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/icassp.2010.5495188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1496562625","https://openalex.org/W1537803653","https://openalex.org/W1969805922","https://openalex.org/W1986343971","https://openalex.org/W2044125620","https://openalex.org/W2096499439","https://openalex.org/W2112422298","https://openalex.org/W2122303316","https://openalex.org/W2145838167","https://openalex.org/W6629825872"],"related_works":["https://openalex.org/W2363301696","https://openalex.org/W2155796184","https://openalex.org/W1510556297","https://openalex.org/W2350749055","https://openalex.org/W1570840316","https://openalex.org/W2363995577","https://openalex.org/W1921152853","https://openalex.org/W2164432222","https://openalex.org/W2114934544","https://openalex.org/W1042315724"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"two":[3],"low-complexity":[4,67],"tools":[5,45,74],"used":[6,78],"for":[7,27,39],"the":[8,13,29,33,40,53,56,71,85,90],"new":[9],"ITU-T":[10],"recommendation":[11],"G.711.0,":[12],"lossless":[14],"coding":[15],"of":[16,55,88],"G.711":[17],"(A-law/\u03bc-law":[18],"logarithmic":[19],"PCM)":[20],"speech":[21],"data.":[22],"One":[23],"is":[24,35],"an":[25,36],"algorithm":[26],"quantizing":[28],"PARCOR/reflection":[30],"coefficients":[31],"and":[32,60],"other":[34],"estimation":[37],"method":[38],"optimal":[41],"prediction":[42,57],"order.":[43],"Both":[44],"are":[46],"based":[47],"on":[48],"a":[49,65],"criterion":[50],"that":[51],"minimizes":[52],"entropy":[54],"residual":[58],"signals":[59],"can":[61,82],"be":[62,76],"implemented":[63],"in":[64],"fixed-point":[66],"algorithm.":[68],"G.711.0":[69],"with":[70],"developed":[72],"practical":[73],"will":[75],"widely":[77],"everywhere":[79],"because":[80],"it":[81],"losslessly":[83],"reduce":[84],"data":[86],"rate":[87],"G.711,":[89],"prevailing":[91],"speech-coding":[92],"technology.":[93]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}