{"id":"https://openalex.org/W1908280612","doi":"https://doi.org/10.1109/icassp.1984.1172361","title":"A comparative study of various speech encoding schemes using vector quantization","display_name":"A comparative study of various speech encoding schemes using vector quantization","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W1908280612","doi":"https://doi.org/10.1109/icassp.1984.1172361","mag":"1908280612"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1984.1172361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1984.1172361","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '84. 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/A5110050357","display_name":"Dietrich E. Wolf","orcid":null},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"D. Wolf","raw_affiliation_strings":["Institut f\u00fcr Angewandte Physik, Universit\u00e4t Frankfurt am Main, Germany"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Angewandte Physik, Universit\u00e4t Frankfurt am Main, Germany","institution_ids":["https://openalex.org/I114090438"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080595664","display_name":"Herbert Reininger","orcid":null},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"H. Reininger","raw_affiliation_strings":["Institut f\u00fcr Angewandte Physik, Universit\u00e4t Frankfurt am Main, Germany"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Angewandte Physik, Universit\u00e4t Frankfurt am Main, Germany","institution_ids":["https://openalex.org/I114090438"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067698132","display_name":"J. Dziumbla","orcid":null},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J. Dziumbla","raw_affiliation_strings":["Institut f\u00fcr Angewandte Physik, Universit\u00e4t Frankfurt am Main, Germany"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Angewandte Physik, Universit\u00e4t Frankfurt am Main, Germany","institution_ids":["https://openalex.org/I114090438"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110050357"],"corresponding_institution_ids":["https://openalex.org/I114090438"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.09078241,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"412","last_page":"415"},"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/T11034","display_name":"Digital Filter Design and Implementation","score":0.9950000047683716,"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/T10860","display_name":"Speech and Audio Processing","score":0.9943000078201294,"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":0.8184115886688232},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7270298004150391},{"id":"https://openalex.org/keywords/code-excited-linear-prediction","display_name":"Code-excited linear prediction","score":0.7123068571090698},{"id":"https://openalex.org/keywords/harmonic-vector-excitation-coding","display_name":"Harmonic Vector Excitation Coding","score":0.7101554274559021},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.7087233066558838},{"id":"https://openalex.org/keywords/linear-predictive-coding","display_name":"Linear predictive coding","score":0.681868314743042},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6406744718551636},{"id":"https://openalex.org/keywords/vector-sum-excited-linear-prediction","display_name":"Vector sum excited linear prediction","score":0.5783125758171082},{"id":"https://openalex.org/keywords/linear-prediction","display_name":"Linear prediction","score":0.5064588785171509},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.48852646350860596},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.47922712564468384},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.47873160243034363},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4773026704788208},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38436996936798096},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2550984025001526},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08003401756286621}],"concepts":[{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.8184115886688232},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7270298004150391},{"id":"https://openalex.org/C105964291","wikidata":"https://www.wikidata.org/wiki/Q856184","display_name":"Code-excited linear prediction","level":4,"score":0.7123068571090698},{"id":"https://openalex.org/C80167644","wikidata":"https://www.wikidata.org/wiki/Q463990","display_name":"Harmonic Vector Excitation Coding","level":3,"score":0.7101554274559021},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.7087233066558838},{"id":"https://openalex.org/C59883199","wikidata":"https://www.wikidata.org/wiki/Q1826438","display_name":"Linear predictive coding","level":3,"score":0.681868314743042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6406744718551636},{"id":"https://openalex.org/C138807605","wikidata":"https://www.wikidata.org/wiki/Q7917845","display_name":"Vector sum excited linear prediction","level":5,"score":0.5783125758171082},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.5064588785171509},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.48852646350860596},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.47922712564468384},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.47873160243034363},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4773026704788208},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38436996936798096},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2550984025001526},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08003401756286621}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1984.1172361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1984.1172361","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '84. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1508755084","https://openalex.org/W1894814132","https://openalex.org/W1963884863","https://openalex.org/W1968127489","https://openalex.org/W2040336387","https://openalex.org/W2138054245","https://openalex.org/W2151418690","https://openalex.org/W2296272057","https://openalex.org/W4235422353"],"related_works":["https://openalex.org/W2350749055","https://openalex.org/W1570840316","https://openalex.org/W1629698752","https://openalex.org/W1042315724","https://openalex.org/W2114934544","https://openalex.org/W2155796184","https://openalex.org/W2794974041","https://openalex.org/W1522383839","https://openalex.org/W2164432222","https://openalex.org/W1665196247"],"abstract_inverted_index":{"Full":[0],"search":[1],"vector":[2],"quantization":[3],"(VQ)":[4],"for":[5,30],"dimensions":[6],"up":[7,15],"to":[8,16,25,144],"8":[9],"in":[10,18],"the":[11,19,60,102,109,112,138],"time":[12],"domain":[13,21],"and":[14,39,59,77,80,129],"12":[17],"frequency":[20],"has":[22,105],"been":[23,106],"applied":[24],"various":[26],"speech":[27,32,69,73,132],"encoding":[28],"schemes":[29,85,104,141],"real-time":[31],"processing":[33],"at":[34,133],"rates":[35],"between":[36],"4.8":[37],"kb/s":[38],"9.6":[40],"kb/s.":[41],"Our":[42],"investigations":[43],"include":[44],"waveform":[45],"coding":[46,51,57,84,103,140],"(WVQ),":[47],"adaptive":[48,64],"linear":[49,55],"predictive":[50,56],"(APC),":[52],"residual":[53],"excited":[54],"(RELP),":[58],"new":[61],"concept":[62],"of":[63,66,75,101,111],"filtering":[65],"binary":[67],"quantized":[68],"(AFBQS)":[70],"with":[71,93],"telephone":[72],"signals":[74],"male":[76],"female":[78],"German":[79],"English":[81],"speakers.":[82],"The":[83,99,121],"were":[86],"implemented":[87],"on":[88,108],"a":[89,94],"HP-1000":[90],"computer":[91],"combined":[92],"FPS":[95],"array":[96],"processor":[97],"AP-120B.":[98],"performance":[100],"evaluated":[107],"basis":[110],"SNR":[113],"as":[114,116],"well":[115,127],"by":[117],"subjective":[118],"listening":[119],"tests.":[120],"results":[122],"show":[123],"that":[124],"WVQ":[125],"yields":[126],"intelligible":[128],"naturally":[130],"sounding":[131],"low":[134],"bit":[135,146],"rates.":[136],"For":[137],"other":[139],"VQ":[142],"leads":[143],"additional":[145],"rate":[147],"reduction.":[148]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
