{"id":"https://openalex.org/W2171684698","doi":"https://doi.org/10.1109/icassp.1983.1171933","title":"Speech recognition using variable frame rate coding","display_name":"Speech recognition using variable frame rate coding","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W2171684698","doi":"https://doi.org/10.1109/icassp.1983.1171933","mag":"2171684698"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1983.1171933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1983.1171933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '83. 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/A5003995342","display_name":"Chiu-Kuang Chuang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"C. Chuang","raw_affiliation_strings":["GTE Laboratories, Inc., Waltham, MA, USA"],"affiliations":[{"raw_affiliation_string":"GTE Laboratories, Inc., Waltham, MA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057049452","display_name":"S. C. Chan","orcid":"https://orcid.org/0000-0001-7212-4182"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Chan","raw_affiliation_strings":["GTE Laboratories, Inc., Waltham, MA, USA"],"affiliations":[{"raw_affiliation_string":"GTE Laboratories, Inc., Waltham, MA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003995342"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2718,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.81778809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"1033","last_page":"1036"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9976999759674072,"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"}},"topics":[{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9976999759674072,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.996999979019165,"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":0.9934999942779541,"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/computer-science","display_name":"Computer science","score":0.6337948441505432},{"id":"https://openalex.org/keywords/inter-frame","display_name":"Inter frame","score":0.5893727540969849},{"id":"https://openalex.org/keywords/linear-predictive-coding","display_name":"Linear predictive coding","score":0.5670777559280396},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.5362128019332886},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.505322277545929},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5048862099647522},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5004608631134033},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4757021367549896},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46614590287208557},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4345620572566986},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.41575223207473755},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3059275448322296},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16829410195350647},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.15662774443626404},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08598798513412476}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6337948441505432},{"id":"https://openalex.org/C39394851","wikidata":"https://www.wikidata.org/wiki/Q921594","display_name":"Inter frame","level":4,"score":0.5893727540969849},{"id":"https://openalex.org/C59883199","wikidata":"https://www.wikidata.org/wiki/Q1826438","display_name":"Linear predictive coding","level":3,"score":0.5670777559280396},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.5362128019332886},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.505322277545929},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5048862099647522},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5004608631134033},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4757021367549896},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46614590287208557},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4345620572566986},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.41575223207473755},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3059275448322296},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16829410195350647},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.15662774443626404},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08598798513412476},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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.1983.1171933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1983.1171933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '83. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1529663760","https://openalex.org/W1718341618","https://openalex.org/W1980800561","https://openalex.org/W1999797527","https://openalex.org/W2035227369","https://openalex.org/W2104135818","https://openalex.org/W2110690497","https://openalex.org/W2119362949","https://openalex.org/W2128160875","https://openalex.org/W2132776552","https://openalex.org/W2137089646","https://openalex.org/W2160784155","https://openalex.org/W2168019621","https://openalex.org/W4285719527","https://openalex.org/W6637769647"],"related_works":["https://openalex.org/W2363301696","https://openalex.org/W1570840316","https://openalex.org/W2352223112","https://openalex.org/W2139283974","https://openalex.org/W2383072803","https://openalex.org/W4312036005","https://openalex.org/W2156505556","https://openalex.org/W2363056088","https://openalex.org/W1000239413","https://openalex.org/W55067688"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,26,37,43,91,99],"effect":[4,77],"of":[5,39,45],"LPC":[6],"based":[7],"time":[8,69],"compression":[9,19,71,100],"schemes":[10,101],"on":[11,78,98],"dynamic":[12],"programming":[13],"(DP)":[14],"and":[15,25,42,61,83,102],"its":[16,81],"alternatives.":[17],"Two":[18],"schemes,":[20],"one":[21],"with":[22,28,33],"fixed":[23,92],"threshold":[24,30,86,93],"other":[27],"variable":[29,85],"both":[31],"incorporated":[32],"two":[34],"control":[35],"factors,":[36],"rate":[38],"frame":[40],"overlap":[41],"step":[44],"interframe":[46],"interval,":[47],"are":[48,105],"investigated.":[49],"The":[50],"test":[51],"speech":[52],"is":[53],"40-word":[54],"alpha-digit":[55],"vocabulary":[56],"pronounced":[57],"by":[58],"10":[59,62],"males":[60],"females.":[63],"Results":[64],"found":[65],"are:":[66],"(1)":[67],"limited":[68],"sequence":[70],"does":[72],"not":[73],"impose":[74],"any":[75],"negative":[76],"DP":[79,103],"or":[80],"alternatives":[82],"(2)":[84],"scheme":[87],"performs":[88],"better":[89],"than":[90],"scheme.":[94],"More":[95],"detailed":[96],"discussion":[97],"interaction":[104],"included.":[106]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}