{"id":"https://openalex.org/W2140167028","doi":"https://doi.org/10.1109/icassp.1985.1168096","title":"Simulation of a highly parallel system for word recognition","display_name":"Simulation of a highly parallel system for word recognition","publication_year":2005,"publication_date":"2005-03-23","ids":{"openalex":"https://openalex.org/W2140167028","doi":"https://doi.org/10.1109/icassp.1985.1168096","mag":"2140167028"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1985.1168096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1985.1168096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '85. 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/A5112303237","display_name":"M.A. Yoder","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"M. Yoder","raw_affiliation_strings":["School of Electrical Engineering, Purdue University, West Lafayette, IN, USA","Purdue University, West Lafayette Indiana"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Purdue University, West Lafayette Indiana","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062457502","display_name":"Leah H. Jamieson","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"L. Jamieson","raw_affiliation_strings":["School of Electrical Engineering, Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112303237"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":0.3179,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6025522,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"1449","last_page":"1452"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9965999722480774,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9965999722480774,"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/T10320","display_name":"Neural Networks and Applications","score":0.9945999979972839,"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"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9944999814033508,"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":0.8403788805007935},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.7212269306182861},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6968541741371155},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6704635620117188},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.6099855303764343},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.5147614479064941},{"id":"https://openalex.org/keywords/simd","display_name":"SIMD","score":0.5001182556152344},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4933997690677643},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4848853051662445},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.41076597571372986},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.401716023683548},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39672693610191345},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22496002912521362}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8403788805007935},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.7212269306182861},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6968541741371155},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6704635620117188},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.6099855303764343},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.5147614479064941},{"id":"https://openalex.org/C150552126","wikidata":"https://www.wikidata.org/wiki/Q339387","display_name":"SIMD","level":2,"score":0.5001182556152344},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4933997690677643},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4848853051662445},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.41076597571372986},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.401716023683548},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39672693610191345},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22496002912521362},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1985.1168096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1985.1168096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W125122582","https://openalex.org/W1554766427","https://openalex.org/W1562756646","https://openalex.org/W1835879390","https://openalex.org/W1966264494","https://openalex.org/W2022620199","https://openalex.org/W2032474878","https://openalex.org/W2123783347","https://openalex.org/W2128160875","https://openalex.org/W2139106564","https://openalex.org/W2159159598","https://openalex.org/W2901585950","https://openalex.org/W3094114204","https://openalex.org/W6605131832"],"related_works":["https://openalex.org/W2950183183","https://openalex.org/W2341338763","https://openalex.org/W2030799363","https://openalex.org/W2032415964","https://openalex.org/W2288425735","https://openalex.org/W1997182898","https://openalex.org/W3009759344","https://openalex.org/W263057764","https://openalex.org/W2157504884","https://openalex.org/W2944691285"],"abstract_inverted_index":{"As":[0],"the":[1,15,21,30,46,63,66,81,101],"complexity":[2],"of":[3,32,62,65],"speech":[4,22,102,118],"recognition":[5,59,67,84,108],"systems":[6],"increases,":[7],"conventional":[8],"computers":[9],"are":[10],"unable":[11],"to":[12,19,44],"perform":[13,105],"all":[14],"operations":[16],"quickly":[17],"enough":[18],"process":[20],"input":[23],"in":[24,113],"real":[25,114],"time.":[26,115],"This":[27,116],"paper":[28],"examines":[29],"use":[31],"a":[33,50,110,121,145],"single":[34],"instruction":[35],"stream":[36,40],"-":[37],"multiple":[38],"data":[39],"(SIMD)":[41],"parallel":[42,74],"architecture":[43],"reduce":[45],"computation":[47],"time":[48,52],"for":[49],"dynamic":[51],"warping":[53],"template":[54],"matching":[55],"based":[56],"isolated":[57,106],"word":[58,83,107,147],"system.":[60],"Each":[61],"components":[64],"system":[68,85,103,119],"was":[69],"written":[70],"as":[71],"an":[72,97],"SMD":[73],"algorithm.":[75],"The":[76,88],"component":[77],"SIMD":[78],"algorithms":[79],"and":[80,144],"complete":[82],"were":[86],"simulated.":[87],"simulations":[89],"showed":[90],"that":[91],"with":[92],"100":[93,130],"processing":[94],"elements,":[95],"each":[96],"8":[98,134],"MHz":[99],"MC68000,":[100],"can":[104],"over":[109],"large":[111],"vocabulary":[112],"real-time":[117],"used":[120],"20":[122],"KHz":[123],"sampling":[124],"rate,":[125],"16":[126,139],"bits":[127,140],"per":[128,132,137,141],"sample,":[129],"samples":[131],"frame,":[133,138],"LPC":[135,142],"coefficients":[136],"coefficient,":[143],"1,000":[146],"vocabulary.":[148]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}