{"id":"https://openalex.org/W1985691256","doi":"https://doi.org/10.1109/globalsip.2014.7032276","title":"Golomb-rice coding optimized via LPC for frequency domain audio coder","display_name":"Golomb-rice coding optimized via LPC for frequency domain audio coder","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W1985691256","doi":"https://doi.org/10.1109/globalsip.2014.7032276","mag":"1985691256"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2014.7032276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2014.7032276","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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/A5103257295","display_name":"Ryosuke Sugiura","orcid":"https://orcid.org/0000-0002-9464-2527"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ryosuke Sugiura","raw_affiliation_strings":["Graduate School of Information Science and Technology, University of Tokyo, Bunkyo, Tokyo, Japan","Graduate School of Information Science and Technology, The University of Tokyo, Hongo 7-3-1, Bunkyo, Tokyo, 113-8656, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, University of Tokyo, Bunkyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Graduate School of Information Science and Technology, The University of Tokyo, Hongo 7-3-1, Bunkyo, Tokyo, 113-8656, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","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, Atsugi, Kanagawa, Japan","NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Morinosato-Wakamiya 3-1, Atsugi, Kanagawa 243-0198, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Atsugi, Kanagawa, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Morinosato-Wakamiya 3-1, Atsugi, Kanagawa 243-0198, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","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, Atsugi, Kanagawa, Japan","NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Morinosato-Wakamiya 3-1, Atsugi, Kanagawa 243-0198, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Atsugi, Kanagawa, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Morinosato-Wakamiya 3-1, Atsugi, Kanagawa 243-0198, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001243214","display_name":"Hirokazu Kameoka","orcid":"https://orcid.org/0000-0003-3102-0162"},"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":"Hirokazu Kameoka","raw_affiliation_strings":["NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Atsugi, Kanagawa, Japan","NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Morinosato-Wakamiya 3-1, Atsugi, Kanagawa 243-0198, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Atsugi, Kanagawa, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Morinosato-Wakamiya 3-1, Atsugi, Kanagawa 243-0198, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","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, Atsugi, Kanagawa, Japan","NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Morinosato-Wakamiya 3-1, Atsugi, Kanagawa 243-0198, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Atsugi, Kanagawa, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Morinosato-Wakamiya 3-1, Atsugi, Kanagawa 243-0198, Japan","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103257295"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.9755,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78892098,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"tu l03 2","issue":null,"first_page":"1024","last_page":"1028"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994999766349792,"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/T11034","display_name":"Digital Filter Design and Implementation","score":0.9980000257492065,"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":0.7344200015068054},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.699596643447876},{"id":"https://openalex.org/keywords/wideband-audio","display_name":"Wideband audio","score":0.6847593784332275},{"id":"https://openalex.org/keywords/golomb-coding","display_name":"Golomb coding","score":0.6584957838058472},{"id":"https://openalex.org/keywords/harmonic-vector-excitation-coding","display_name":"Harmonic Vector Excitation Coding","score":0.6109835505485535},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5772663354873657},{"id":"https://openalex.org/keywords/sub-band-coding","display_name":"Sub-band coding","score":0.5326307415962219},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5106609463691711},{"id":"https://openalex.org/keywords/adaptive-multi-rate-audio-codec","display_name":"Adaptive Multi-Rate audio codec","score":0.4508762061595917},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.440084308385849},{"id":"https://openalex.org/keywords/linear-predictive-coding","display_name":"Linear predictive coding","score":0.42753511667251587},{"id":"https://openalex.org/keywords/bin","display_name":"Bin","score":0.4131145477294922},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3143334984779358},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.27766498923301697},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.2690276801586151},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.262519896030426},{"id":"https://openalex.org/keywords/digital-audio","display_name":"Digital audio","score":0.22685188055038452},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22068145871162415},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16206741333007812},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08813691139221191}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7344200015068054},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.699596643447876},{"id":"https://openalex.org/C173391809","wikidata":"https://www.wikidata.org/wiki/Q2740189","display_name":"Wideband audio","level":5,"score":0.6847593784332275},{"id":"https://openalex.org/C66656319","wikidata":"https://www.wikidata.org/wiki/Q2638","display_name":"Golomb coding","level":5,"score":0.6584957838058472},{"id":"https://openalex.org/C80167644","wikidata":"https://www.wikidata.org/wiki/Q463990","display_name":"Harmonic Vector Excitation Coding","level":3,"score":0.6109835505485535},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5772663354873657},{"id":"https://openalex.org/C98526533","wikidata":"https://www.wikidata.org/wiki/Q1691938","display_name":"Sub-band coding","level":3,"score":0.5326307415962219},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5106609463691711},{"id":"https://openalex.org/C177067256","wikidata":"https://www.wikidata.org/wiki/Q4676210","display_name":"Adaptive Multi-Rate audio codec","level":4,"score":0.4508762061595917},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.440084308385849},{"id":"https://openalex.org/C59883199","wikidata":"https://www.wikidata.org/wiki/Q1826438","display_name":"Linear predictive coding","level":3,"score":0.42753511667251587},{"id":"https://openalex.org/C156273044","wikidata":"https://www.wikidata.org/wiki/Q4913766","display_name":"Bin","level":2,"score":0.4131145477294922},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3143334984779358},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.27766498923301697},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.2690276801586151},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.262519896030426},{"id":"https://openalex.org/C87687168","wikidata":"https://www.wikidata.org/wiki/Q173114","display_name":"Digital audio","level":4,"score":0.22685188055038452},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22068145871162415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16206741333007812},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08813691139221191},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2014.7032276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2014.7032276","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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":30,"referenced_works":["https://openalex.org/W9966432","https://openalex.org/W1485794641","https://openalex.org/W1512294521","https://openalex.org/W1580101844","https://openalex.org/W1648396869","https://openalex.org/W1922168135","https://openalex.org/W1969805922","https://openalex.org/W2012315192","https://openalex.org/W2019014321","https://openalex.org/W2045018566","https://openalex.org/W2063830506","https://openalex.org/W2075126280","https://openalex.org/W2105207127","https://openalex.org/W2126382145","https://openalex.org/W2131499030","https://openalex.org/W2132984323","https://openalex.org/W2140593795","https://openalex.org/W2143368736","https://openalex.org/W2397803475","https://openalex.org/W2403094565","https://openalex.org/W3035139526","https://openalex.org/W6600401024","https://openalex.org/W6630632947","https://openalex.org/W6640313189","https://openalex.org/W6669491803","https://openalex.org/W6675919462","https://openalex.org/W6678798091","https://openalex.org/W6711968614","https://openalex.org/W6713756561","https://openalex.org/W6779487094"],"related_works":["https://openalex.org/W2042028224","https://openalex.org/W1578591928","https://openalex.org/W2111280847","https://openalex.org/W1877515347","https://openalex.org/W1857623347","https://openalex.org/W2115236569","https://openalex.org/W2154660412","https://openalex.org/W2980446847","https://openalex.org/W1985691256","https://openalex.org/W1936271610"],"abstract_inverted_index":{"We":[0],"have":[1],"devised":[2],"a":[3],"method":[4,86],"to":[5,39,91],"optimize":[6],"Golomb-Rice":[7,49],"coding":[8,28,50,95],"of":[9,34,47,63,70,76],"frequency":[10,17,57],"spectra,":[11],"aiming":[12],"at":[13,55,81,98],"its":[14],"use":[15],"in":[16,67,104],"domain":[18],"audio":[19,96],"coder,":[20],"using":[21],"spectral":[22],"envelopes":[23],"extracted":[24],"by":[25,51],"linear":[26],"predictive":[27],"(LPC)":[29],"from":[30],"amplitude":[31],"spectra":[32,37],"instead":[33],"conventional":[35],"power":[36],"according":[38],"theoretical":[40],"investigations.":[41],"This":[42],"optimization":[43],"improves":[44],"the":[45,48,61,64,68,71,77,85],"efficiency":[46],"allocating":[52],"Rice":[53],"parameter":[54],"each":[56],"bin":[58],"based":[59],"on":[60],"value":[62],"envelopes,":[65],"resulting":[66],"enhancement":[69],"objective":[72],"and":[73,100],"subjective":[74],"quality":[75],"state-of-the-art":[78],"wideband":[79],"coder":[80],"16":[82],"kbit/s.":[83],"Therefore,":[84],"introduced":[87],"here":[88],"is":[89],"expected":[90],"be":[92],"useful":[93],"for":[94],"signals":[97],"low-bit-rate":[99],"low-delay":[101],"conditions,":[102],"required":[103],"mobile":[105],"communications.":[106]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
