{"id":"https://openalex.org/W2171723124","doi":"https://doi.org/10.1109/icassp.2002.5743708","title":"Joint optimization of model and excitation in parametric speech coders","display_name":"Joint optimization of model and excitation in parametric speech coders","publication_year":2002,"publication_date":"2002-05-01","ids":{"openalex":"https://openalex.org/W2171723124","doi":"https://doi.org/10.1109/icassp.2002.5743708","mag":"2171723124"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2002.5743708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2002.5743708","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Acoustics Speech and Signal Processing","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/A5038496448","display_name":"Khosrow Lashkari","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Khosrow Lashkari","raw_affiliation_strings":["DoCoMo Communications Laboratory USA, Inc., San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"DoCoMo Communications Laboratory USA, Inc., San Jose, CA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109903704","display_name":"Toshio Miki","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Toshio Miki","raw_affiliation_strings":["DoCoMo Communications Laboratory USA, Inc., San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"DoCoMo Communications Laboratory USA, Inc., San Jose, CA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038496448"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.448,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59878049,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"I","last_page":"277"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9965999722480774,"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":0.9965999722480774,"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":0.9682999849319458,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9621999859809875,"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/code-excited-linear-prediction","display_name":"Code-excited linear prediction","score":0.7113406658172607},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6671862006187439},{"id":"https://openalex.org/keywords/speech-synthesis","display_name":"Speech synthesis","score":0.659042477607727},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6565694808959961},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5662862658500671},{"id":"https://openalex.org/keywords/linear-prediction","display_name":"Linear prediction","score":0.4919149875640869},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.47283419966697693},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.43719732761383057},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3441407382488251},{"id":"https://openalex.org/keywords/linear-predictive-coding","display_name":"Linear predictive coding","score":0.3375045657157898},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2376789152622223},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07088965177536011},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0678187906742096}],"concepts":[{"id":"https://openalex.org/C105964291","wikidata":"https://www.wikidata.org/wiki/Q856184","display_name":"Code-excited linear prediction","level":4,"score":0.7113406658172607},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6671862006187439},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.659042477607727},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6565694808959961},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5662862658500671},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.4919149875640869},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.47283419966697693},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.43719732761383057},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3441407382488251},{"id":"https://openalex.org/C59883199","wikidata":"https://www.wikidata.org/wiki/Q1826438","display_name":"Linear predictive coding","level":3,"score":0.3375045657157898},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2376789152622223},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07088965177536011},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0678187906742096},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2002.5743708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2002.5743708","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Acoustics Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W181056519","https://openalex.org/W573069471","https://openalex.org/W2097645910","https://openalex.org/W2109189270","https://openalex.org/W2131664668","https://openalex.org/W2138091955","https://openalex.org/W2151626637","https://openalex.org/W6607364320"],"related_works":["https://openalex.org/W1570840316","https://openalex.org/W1982751076","https://openalex.org/W2051489660","https://openalex.org/W2119342582","https://openalex.org/W2155796184","https://openalex.org/W2111369522","https://openalex.org/W1042315724","https://openalex.org/W2402025388","https://openalex.org/W2794974041","https://openalex.org/W2213711977"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,45,55,99],"new":[4],"Analysis-by-Synthesis":[5],"(AbS)":[6],"technique":[7,137],"for":[8,54,107],"joint":[9],"optimization":[10,73,134],"of":[11,26],"the":[12,20,27,33,36,49,62,65,68,72,76,79,91,104,126,136,142],"excitation":[13,57],"and":[14,38,67,109,121,146],"model":[15,52],"parameters":[16,53],"based":[17],"on":[18],"minimizing":[19,32],"closed":[21],"loop":[22],"synthesis":[23,34,39,80],"error":[24,63,81],"instead":[25],"linear":[28],"prediction":[29],"error.":[30],"By":[31,130],"error,":[35],"analysis":[37],"stages":[40],"become":[41],"more":[42],"compatible.":[43],"Using":[44],"gradient":[46],"search":[47],"in":[48,103],"root":[50],"domain,":[51],"given":[56],"are":[58],"optimized":[59],"to":[60,84,114],"minimize":[61],"between":[64],"original":[66],"synthesized":[69],"speech.":[70],"Since":[71],"starts":[74],"from":[75],"LPC":[77,92,145],"solution,":[78],"is":[82,98],"guaranteed":[83],"be":[85,139],"lower":[86],"than":[87],"that":[88],"obtained":[89],"using":[90],"coefficients.":[93],"For":[94],"multipulse":[95],"LPC,":[96,143],"there":[97],"0.5\u20131":[100],"dB":[101],"improvement":[102],"segmental":[105],"SNR":[106],"male":[108],"female":[110],"speakers":[111],"over":[112],"4":[113],"6":[115],"second":[116],"long":[117],"sentences.":[118],"Listening":[119],"tests":[120],"objective":[122],"MOS":[123],"scores":[124],"confirm":[125],"improved":[127],"speech":[128,148],"quality.":[129],"adding":[131],"an":[132],"extra":[133],"step,":[135],"can":[138],"incorporated":[140],"into":[141],"multi-pulse":[144],"CELP-type":[147],"coders.":[149]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
