{"id":"https://openalex.org/W112000228","doi":"https://doi.org/10.21437/icslp.1998-389","title":"A 16 kbit/s wideband CELP coder using MEL-generalized cepstral analysis and its subjective evaluation","display_name":"A 16 kbit/s wideband CELP coder using MEL-generalized cepstral analysis and its subjective evaluation","publication_year":1998,"publication_date":"1998-11-30","ids":{"openalex":"https://openalex.org/W112000228","doi":"https://doi.org/10.21437/icslp.1998-389","mag":"112000228"},"language":"en","primary_location":{"id":"doi:10.21437/icslp.1998-389","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.1998-389","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":"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/A5084879161","display_name":"Kazuhito Koishida","orcid":"https://orcid.org/0000-0002-3111-5375"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kazuhito Koishida","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113477647","display_name":"Gou Hirabayashi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gou Hirabayashi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103023678","display_name":"Keiichi Tokuda","orcid":"https://orcid.org/0000-0001-6143-0133"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Keiichi Tokuda","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5022405100","display_name":"Takao Kobayashi","orcid":"https://orcid.org/0000-0003-0387-8030"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Takao Kobayashi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"paper 0904","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":0.9995999932289124,"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":0.9995999932289124,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/code-excited-linear-prediction","display_name":"Code-excited linear prediction","score":0.9910705089569092},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7259496450424194},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7029004096984863},{"id":"https://openalex.org/keywords/linear-predictive-coding","display_name":"Linear predictive coding","score":0.6039943099021912},{"id":"https://openalex.org/keywords/wideband-audio","display_name":"Wideband audio","score":0.564214289188385},{"id":"https://openalex.org/keywords/linear-prediction","display_name":"Linear prediction","score":0.5468494296073914},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.5233139991760254},{"id":"https://openalex.org/keywords/vector-sum-excited-linear-prediction","display_name":"Vector sum excited linear prediction","score":0.49252256751060486},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.4870308041572571},{"id":"https://openalex.org/keywords/wideband","display_name":"Wideband","score":0.4508145749568939},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.0726909339427948},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.06277599930763245}],"concepts":[{"id":"https://openalex.org/C105964291","wikidata":"https://www.wikidata.org/wiki/Q856184","display_name":"Code-excited linear prediction","level":4,"score":0.9910705089569092},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7259496450424194},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7029004096984863},{"id":"https://openalex.org/C59883199","wikidata":"https://www.wikidata.org/wiki/Q1826438","display_name":"Linear predictive coding","level":3,"score":0.6039943099021912},{"id":"https://openalex.org/C173391809","wikidata":"https://www.wikidata.org/wiki/Q2740189","display_name":"Wideband audio","level":5,"score":0.564214289188385},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.5468494296073914},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.5233139991760254},{"id":"https://openalex.org/C138807605","wikidata":"https://www.wikidata.org/wiki/Q7917845","display_name":"Vector sum excited linear prediction","level":5,"score":0.49252256751060486},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.4870308041572571},{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.4508145749568939},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.0726909339427948},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.06277599930763245},{"id":"https://openalex.org/C87687168","wikidata":"https://www.wikidata.org/wiki/Q173114","display_name":"Digital audio","level":4,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.21437/icslp.1998-389","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.1998-389","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:10.1.1.46.8059","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.46.8059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ftp://robert.ip.titech.ac.jp/pub/pdf/icslp98-wbMGCELPa.pdf","raw_type":"text"},{"id":"pmh:oai:t2r2.star.titech.ac.jp:00024903","is_oa":false,"landing_page_url":"http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100423273","pdf_url":null,"source":{"id":"https://openalex.org/S4377196385","display_name":"Tokyo Tech Research Repository (Tokyo Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114531698","host_organization_name":"Tokyo Institute of Technology","host_organization_lineage":["https://openalex.org/I114531698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1913972058","https://openalex.org/W2066091624","https://openalex.org/W2121704626","https://openalex.org/W2296704011","https://openalex.org/W3183940051"],"related_works":["https://openalex.org/W1982751076","https://openalex.org/W2051489660","https://openalex.org/W1629698752","https://openalex.org/W1570840316","https://openalex.org/W2119342582","https://openalex.org/W2350749055","https://openalex.org/W2148904379","https://openalex.org/W2111369522","https://openalex.org/W4301029372","https://openalex.org/W2114934544"],"abstract_inverted_index":{"We":[0],"have":[1,122],"proposed":[2],"a":[3,59],"wideband":[4,34,115],"CELP":[5,98,137,150],"coder,":[6],"called":[7],"MGC-CELP,":[8],"which":[9],"provides":[10],"high":[11],"quality":[12,86],"speech":[13,116],"by":[14],"utilizing":[15],"mel-generalized":[16],"cepstral":[17],"(MGC)":[18],"analysis":[19,103],"instead":[20],"of":[21,32,42,48,61,126],"linear":[22],"prediction":[23],"(LP).":[24],"In":[25],"this":[26,130],"paper,":[27],"we":[28],"investigate":[29],"the":[30,33,55,78,88,94,105,127,144],"performance":[31,66],"MGCCELP":[35,56,79],"coder":[36,57,80,99],"at":[37,70,118],"16":[38,95,148],"kbit/s":[39,90,96],"in":[40,129],"terms":[41],"short-term":[43],"predictor":[44,60],"order,":[45],"i.e.,":[46],"order":[47,62,83],"MGC":[49],"analysis.":[50],"Subjective":[51],"tests":[52],"show":[53],"that":[54,77],"with":[58,81],"20":[63],"gives":[64],"better":[65],"than":[67],"ITU-T":[68],"G.722":[69],"64":[71,89],"kbit/s.":[72],"It":[73],"is":[74],"also":[75],"found":[76],"12th":[82],"achieves":[84],"comparable":[85],"to":[87],"G.722,":[91],"and":[92],"outperforms":[93],"conventional":[97],"using":[100],"20th-order":[101],"LP":[102],"under":[104],"same":[106],"conditions.":[107],"1.":[108],"INTRODUCTION":[109],"Recently":[110],"several":[111],"schemes":[112],"for":[113],"high-quality":[114],"coding":[117,135,151],"low":[119],"bit":[120,145],"rates":[121,146],"been":[123],"developed.":[124],"Most":[125],"work":[128],"field":[131],"uses":[132],"either":[133],"transform/subband":[134],"or":[136],"(Code":[138],"Excited":[139],"Linear":[140],"Prediction)":[141],"coding.":[142],"At":[143],"around":[147],"kbit/s,":[149],"has":[152],"received":[153],"much":[154],"attention":[155],"s...":[156]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
