{"id":"https://openalex.org/W2105140981","doi":"https://doi.org/10.1109/icassp.1985.1168457","title":"Applying matrix quantization to isolated word recognition","display_name":"Applying matrix quantization to isolated word recognition","publication_year":2005,"publication_date":"2005-03-23","ids":{"openalex":"https://openalex.org/W2105140981","doi":"https://doi.org/10.1109/icassp.1985.1168457","mag":"2105140981"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1985.1168457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1985.1168457","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/A5084694785","display_name":"D. Burton","orcid":null},"institutions":[{"id":"https://openalex.org/I1288214837","display_name":"United States Naval Research Laboratory","ror":"https://ror.org/04d23a975","country_code":"US","type":"facility","lineage":["https://openalex.org/I1288214837","https://openalex.org/I1330347796","https://openalex.org/I175003984","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"D. Burton","raw_affiliation_strings":["Information Technology Division, Naval Research Laboratory, Computer Science and Systems, Washington D.C., DC, USA","Naval Research Laboratory, Washington, D.C,"],"affiliations":[{"raw_affiliation_string":"Information Technology Division, Naval Research Laboratory, Computer Science and Systems, Washington D.C., DC, USA","institution_ids":[]},{"raw_affiliation_string":"Naval Research Laboratory, Washington, D.C,","institution_ids":["https://openalex.org/I1288214837"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5084694785"],"corresponding_institution_ids":["https://openalex.org/I1288214837"],"apc_list":null,"apc_paid":null,"fwci":0.2937,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.60881167,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"29","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9968000054359436,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9884999990463257,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.950383722782135},{"id":"https://openalex.org/keywords/linde\u2013buzo\u2013gray-algorithm","display_name":"Linde\u2013Buzo\u2013Gray algorithm","score":0.8543438911437988},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.8091042637825012},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6647360920906067},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6459659337997437},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.565802276134491},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.5419233441352844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.538316547870636},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5261741876602173},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5250187516212463},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5104628801345825},{"id":"https://openalex.org/keywords/word-recognition","display_name":"Word recognition","score":0.4322195053100586},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36377155780792236},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2721155881881714},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23057004809379578},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08735597133636475}],"concepts":[{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.950383722782135},{"id":"https://openalex.org/C93372532","wikidata":"https://www.wikidata.org/wiki/Q6552455","display_name":"Linde\u2013Buzo\u2013Gray algorithm","level":3,"score":0.8543438911437988},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.8091042637825012},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6647360920906067},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6459659337997437},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.565802276134491},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.5419233441352844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.538316547870636},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5261741876602173},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5250187516212463},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5104628801345825},{"id":"https://openalex.org/C150856459","wikidata":"https://www.wikidata.org/wiki/Q8034367","display_name":"Word recognition","level":3,"score":0.4322195053100586},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36377155780792236},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2721155881881714},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23057004809379578},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08735597133636475},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1985.1168457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1985.1168457","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":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1965929012","https://openalex.org/W2021760654","https://openalex.org/W2046316417","https://openalex.org/W2097012520","https://openalex.org/W2109336649","https://openalex.org/W2112465852","https://openalex.org/W2116708935","https://openalex.org/W2134383396","https://openalex.org/W2138054245","https://openalex.org/W2151369515","https://openalex.org/W2152131029","https://openalex.org/W2158243901","https://openalex.org/W2159481042","https://openalex.org/W2163904446","https://openalex.org/W2164240509","https://openalex.org/W3006340570","https://openalex.org/W3159973907","https://openalex.org/W6794920904"],"related_works":["https://openalex.org/W2017514583","https://openalex.org/W2352648934","https://openalex.org/W156190883","https://openalex.org/W2391875658","https://openalex.org/W2100120615","https://openalex.org/W1929869830","https://openalex.org/W2017401491","https://openalex.org/W2387054321","https://openalex.org/W2084027797","https://openalex.org/W2377001183"],"abstract_inverted_index":{"A":[0,51],"new":[1,35],"approach":[2,10,79,90],"to":[3,67],"isolated":[4],"word":[5,52,65],"recognition":[6,84],"is":[7,11,53,91],"examined.":[8],"This":[9],"based":[12,102],"on":[13],"an":[14],"extension":[15],"of":[16,42,44],"vector":[17,100],"quantization":[18,23,101],"speech":[19,24,45],"coding,":[20,25],"called":[21],"matrix":[22],"that":[26,70],"was":[27],"developed":[28],"by":[29,55],"Tsao":[30],"and":[31,61,97],"Gray.":[32],"In":[33],"this":[34,78],"approach,":[36],"a":[37,40,81],"codebook":[38,60,69],"containing":[39],"set":[41],"time-ordered-sequences":[43],"spectra":[46],"represents":[47],"each":[48,59],"vocabulary":[49],"word.":[50],"recognized":[54],"encoding":[56],"it":[57],"with":[58,99],"classifying":[62],"the":[63,68,72,76],"input":[64],"according":[66],"yields":[71],"smallest":[73],"distortion.":[74],"On":[75],"digits,":[77],"achieved":[80],"speaker":[82],"independent":[83],"accuracy":[85],"greater":[86],"than":[87],"98%.":[88],"The":[89],"described,":[92],"experimental":[93],"results":[94],"are":[95,104],"presented,":[96],"comparisons":[98],"approaches":[103],"given.":[105]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}