{"id":"https://openalex.org/W1975238232","doi":"https://doi.org/10.1109/slt.2014.7078627","title":"A sparsity based preprocessing for noise robust speech recognition","display_name":"A sparsity based preprocessing for noise robust speech recognition","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W1975238232","doi":"https://doi.org/10.1109/slt.2014.7078627","mag":"1975238232"},"language":"en","primary_location":{"id":"doi:10.1109/slt.2014.7078627","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt.2014.7078627","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Spoken Language Technology Workshop (SLT)","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/A5046259269","display_name":"Christos Koniaris","orcid":"https://orcid.org/0000-0002-1883-2978"},"institutions":[{"id":"https://openalex.org/I881427289","display_name":"University of Gothenburg","ror":"https://ror.org/01tm6cn81","country_code":"SE","type":"education","lineage":["https://openalex.org/I881427289"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Christos Koniaris","raw_affiliation_strings":["Dept. of Philosophy, Dialogue Technology Lab, Gothenburg, Sweden","University of Gothenburg, Centre for Language Technology, Dept. of Philosophy, Linguistics & Theory of Science, Dialogue Technology Lab, Sweden"],"affiliations":[{"raw_affiliation_string":"Dept. of Philosophy, Dialogue Technology Lab, Gothenburg, Sweden","institution_ids":[]},{"raw_affiliation_string":"University of Gothenburg, Centre for Language Technology, Dept. of Philosophy, Linguistics & Theory of Science, Dialogue Technology Lab, Sweden","institution_ids":["https://openalex.org/I881427289"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101692633","display_name":"Saikat Chatterjee","orcid":"https://orcid.org/0000-0003-2638-6047"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]},{"id":"https://openalex.org/I881427289","display_name":"University of Gothenburg","ror":"https://ror.org/01tm6cn81","country_code":"SE","type":"education","lineage":["https://openalex.org/I881427289"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Saikat Chatterjee","raw_affiliation_strings":["KTH Royal Institute of Technology, Communication Theory Lab, Stockholm, Sweden","University of Gothenburg, Centre for Language Technology, Dept. of Philosophy, Linguistics & Theory of Science, Dialogue Technology Lab, Sweden"],"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology, Communication Theory Lab, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"University of Gothenburg, Centre for Language Technology, Dept. of Philosophy, Linguistics & Theory of Science, Dialogue Technology Lab, Sweden","institution_ids":["https://openalex.org/I881427289"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5046259269"],"corresponding_institution_ids":["https://openalex.org/I881427289"],"apc_list":null,"apc_paid":null,"fwci":0.2911,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52355324,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"513","last_page":"518"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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":0.9998000264167786,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9939000010490417,"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/preprocessor","display_name":"Preprocessor","score":0.7897766828536987},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7836544513702393},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.73255854845047},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6789922714233398},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6349132061004639},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5258598327636719},{"id":"https://openalex.org/keywords/linear-predictive-coding","display_name":"Linear predictive coding","score":0.5029816031455994},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.4821750521659851},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.4635331928730011},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.44994062185287476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.445462167263031},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.44103553891181946},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.4207862317562103},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.2095186412334442}],"concepts":[{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7897766828536987},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7836544513702393},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.73255854845047},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6789922714233398},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6349132061004639},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5258598327636719},{"id":"https://openalex.org/C59883199","wikidata":"https://www.wikidata.org/wiki/Q1826438","display_name":"Linear predictive coding","level":3,"score":0.5029816031455994},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.4821750521659851},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.4635331928730011},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.44994062185287476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.445462167263031},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.44103553891181946},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.4207862317562103},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.2095186412334442},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/slt.2014.7078627","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt.2014.7078627","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Spoken Language Technology Workshop (SLT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1595409064","https://openalex.org/W2009674825","https://openalex.org/W2022257069","https://openalex.org/W2037552098","https://openalex.org/W2062164080","https://openalex.org/W2063656732","https://openalex.org/W2070604329","https://openalex.org/W2104424128","https://openalex.org/W2114719288","https://openalex.org/W2120184544","https://openalex.org/W2122825543","https://openalex.org/W2135623325","https://openalex.org/W2137075158","https://openalex.org/W2141520175","https://openalex.org/W2144817086","https://openalex.org/W2146873606","https://openalex.org/W2148154194","https://openalex.org/W2151484683","https://openalex.org/W2326699523","https://openalex.org/W2526045035","https://openalex.org/W4285719527","https://openalex.org/W6635426166","https://openalex.org/W6728024061"],"related_works":["https://openalex.org/W3211091508","https://openalex.org/W1976952689","https://openalex.org/W193702574","https://openalex.org/W2070982348","https://openalex.org/W1984921740","https://openalex.org/W2496295964","https://openalex.org/W1572861854","https://openalex.org/W2253161769","https://openalex.org/W2539491809","https://openalex.org/W2154415461"],"abstract_inverted_index":{"We":[0],"show":[1,91],"a":[2,27,45,73],"method":[3],"to":[4,23,31,66],"sparsify":[5],"the":[6,11,24,32,40,55,68],"speech":[7,16,42,69,82],"input":[8,41],"that":[9,92],"improves":[10,98],"robustness":[12,99],"of":[13,75],"an":[14],"automatic":[15,81],"recognizer.":[17],"The":[18,36,59],"proposed":[19],"scheme":[20],"is":[21,64],"added":[22],"system":[25],"as":[26],"preprocessing":[28,37],"module":[29,38],"prior":[30],"acoustic":[33],"feature":[34,77,87],"extraction.":[35],"passes":[39],"signal":[43,70],"through":[44],"linear":[46],"predictive":[47],"(LP)":[48],"analysis":[49],"filter":[50],"and":[51],"enforces":[52],"sparsity":[53],"in":[54,80,94,100],"LP":[56,95],"residue":[57,62,96],"domain.":[58],"sparsified":[60],"prediction":[61],"finally":[63],"filtered":[65],"generate":[67],"for":[71],"computing":[72],"sequence":[74],"conventional":[76],"vectors":[78],"used":[79],"recognition":[83],"(ASR).":[84],"Using":[85],"standard":[86],"vectors,":[88],"our":[89],"experiments":[90],"sparsification":[93],"domain":[97],"ASR":[101],"performance.":[102]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}