{"id":"https://openalex.org/W1898362271","doi":"https://doi.org/10.1109/icassp.1986.1169209","title":"Noise compensation for speech recognition using probabilistic models","display_name":"Noise compensation for speech recognition using probabilistic models","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W1898362271","doi":"https://doi.org/10.1109/icassp.1986.1169209","mag":"1898362271"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1986.1169209","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1986.1169209","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5111504322","display_name":"John Holmes","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J. Holmes","raw_affiliation_strings":["Uxbridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Uxbridge, UK","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040767576","display_name":"N. Sedgwick","orcid":null},"institutions":[{"id":"https://openalex.org/I2800580651","display_name":"Melbourn Science Park","ror":"https://ror.org/04de0c074","country_code":"GB","type":"other","lineage":["https://openalex.org/I2800580651"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"N. Sedgwick","raw_affiliation_strings":["PA Technology, Melbourn, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PA Technology, Melbourn, UK","institution_ids":["https://openalex.org/I2800580651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2323,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.79632921,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"11","issue":null,"first_page":"741","last_page":"744"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9987999796867371,"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/T10860","display_name":"Speech and Audio Processing","score":0.9889000058174133,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9731000065803528,"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/speech-recognition","display_name":"Speech recognition","score":0.7944072484970093},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7881750464439392},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6962998509407043},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.6061440110206604},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.573500394821167},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.5225728750228882},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5191358923912048},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41236698627471924},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3994286060333252},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.23281991481781006}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7944072484970093},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7881750464439392},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6962998509407043},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.6061440110206604},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.573500394821167},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.5225728750228882},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5191358923912048},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41236698627471924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3994286060333252},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.23281991481781006},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1986.1169209","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1986.1169209","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W1934584000","https://openalex.org/W2995826827"],"related_works":["https://openalex.org/W2364370872","https://openalex.org/W2053269318","https://openalex.org/W2136763963","https://openalex.org/W2109705048","https://openalex.org/W2940588515","https://openalex.org/W1909151225","https://openalex.org/W2160030256","https://openalex.org/W1521297879","https://openalex.org/W4253235840","https://openalex.org/W3151937861"],"abstract_inverted_index":{"There":[0],"are":[1,21,108],"significant":[2],"applications":[3],"of":[4,53,103,111],"speech":[5],"recognition":[6],"where":[7,82,96],"a":[8,30,92,109],"poor":[9],"signal-to-noise":[10],"ratio":[11],"seriously":[12],"degrades":[13],"performance.":[14],"In":[15],"many":[16],"cases":[17],"the":[18,54,112],"noise":[19,34,42,99],"properties":[20],"constant":[22],"or":[23,95],"change":[24],"only":[25],"slowly.":[26],"Klatt":[27],"has":[28],"proposed":[29],"solution":[31],"based":[32,64],"on":[33,41,65],"masking":[35],"and":[36,57,72],"Bridle":[37],"et":[38],"al.":[39],"one":[40],"marking.":[43],"Our":[44],"approach":[45],"extends":[46],"their":[47],"techniques":[48],"to":[49,62,88],"make":[50],"fuller":[51],"use":[52],"available":[55],"data":[56],"we":[58],"apply":[59],"our":[60],"method":[61,77],"recognizers":[63],"whole-word":[66],"pattern":[67],"matching":[68],"using":[69],"both":[70],"DTW":[71],"Markov":[73],"model":[74],"algorithms.":[75],"The":[76],"also":[78],"gives":[79],"improved":[80],"training":[81,97],"it":[83],"is":[84,100],"convenient":[85],"for":[86],"this":[87],"be":[89],"done":[90],"in":[91,98],"noisy":[93],"environment,":[94],"essential":[101],"because":[102],"voice":[104],"quality":[105],"changes":[106],"that":[107],"consequence":[110],"noise.":[113]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
