{"id":"https://openalex.org/W2048194752","doi":"https://doi.org/10.1109/asru.2013.6707738","title":"An SVD-based scheme for MFCC compression in distributed speech recognition system","display_name":"An SVD-based scheme for MFCC compression in distributed speech recognition system","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2048194752","doi":"https://doi.org/10.1109/asru.2013.6707738","mag":"2048194752"},"language":"en","primary_location":{"id":"doi:10.1109/asru.2013.6707738","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2013.6707738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Workshop on Automatic Speech Recognition and Understanding","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/A5068764919","display_name":"Azzedine Touazi","orcid":"https://orcid.org/0000-0003-0786-0014"},"institutions":[{"id":"https://openalex.org/I192268740","display_name":"University of Algiers Benyoucef Benkhedda","ror":"https://ror.org/011r6gp69","country_code":"DZ","type":"education","lineage":["https://openalex.org/I192268740"]},{"id":"https://openalex.org/I157169809","display_name":"University of Sciences and Technology Houari Boumediene","ror":"https://ror.org/02kb89c09","country_code":"DZ","type":"education","lineage":["https://openalex.org/I157169809"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"Azzedine Touazi","raw_affiliation_strings":["Faculty of Electronics and Computer, Signal Processing and Speech Communication Laboratory, Algiers, Algeria","Signal Process. & Speech Commun. Lab., Univ. of Sci. & Technol. Houari Boumediene, Algiers, Algeria"],"affiliations":[{"raw_affiliation_string":"Faculty of Electronics and Computer, Signal Processing and Speech Communication Laboratory, Algiers, Algeria","institution_ids":["https://openalex.org/I192268740"]},{"raw_affiliation_string":"Signal Process. & Speech Commun. Lab., Univ. of Sci. & Technol. Houari Boumediene, Algiers, Algeria","institution_ids":["https://openalex.org/I157169809"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033358701","display_name":"Mohamed Debyeche","orcid":null},"institutions":[{"id":"https://openalex.org/I157169809","display_name":"University of Sciences and Technology Houari Boumediene","ror":"https://ror.org/02kb89c09","country_code":"DZ","type":"education","lineage":["https://openalex.org/I157169809"]},{"id":"https://openalex.org/I192268740","display_name":"University of Algiers Benyoucef Benkhedda","ror":"https://ror.org/011r6gp69","country_code":"DZ","type":"education","lineage":["https://openalex.org/I192268740"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Mohamed Debyeche","raw_affiliation_strings":["Faculty of Electronics and Computer, Signal Processing and Speech Communication Laboratory, Algiers, Algeria","Signal Process. & Speech Commun. Lab., Univ. of Sci. & Technol. Houari Boumediene, Algiers, Algeria"],"affiliations":[{"raw_affiliation_string":"Faculty of Electronics and Computer, Signal Processing and Speech Communication Laboratory, Algiers, Algeria","institution_ids":["https://openalex.org/I192268740"]},{"raw_affiliation_string":"Signal Process. & Speech Commun. Lab., Univ. of Sci. & Technol. Houari Boumediene, Algiers, Algeria","institution_ids":["https://openalex.org/I157169809"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068764919"],"corresponding_institution_ids":["https://openalex.org/I157169809","https://openalex.org/I192268740"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11638972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"48","issue":null,"first_page":"250","last_page":"255"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10860","display_name":"Speech and Audio Processing","score":0.9986000061035156,"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":0.9973000288009644,"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/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.7784916162490845},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7553942203521729},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.644438624382019},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.6169162392616272},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5543206334114075},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.45573315024375916},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44676366448402405},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.44551634788513184},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40160852670669556},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.19937589764595032},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1024387776851654}],"concepts":[{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.7784916162490845},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7553942203521729},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.644438624382019},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.6169162392616272},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5543206334114075},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.45573315024375916},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44676366448402405},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.44551634788513184},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40160852670669556},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.19937589764595032},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1024387776851654},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asru.2013.6707738","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2013.6707738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Workshop on Automatic Speech Recognition and Understanding","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W99161522","https://openalex.org/W236951136","https://openalex.org/W2050828965","https://openalex.org/W2079337129","https://openalex.org/W2080224081","https://openalex.org/W2128620909","https://openalex.org/W2139496223","https://openalex.org/W2151484683","https://openalex.org/W2187138504","https://openalex.org/W4320800818","https://openalex.org/W6670362297"],"related_works":["https://openalex.org/W1916685473","https://openalex.org/W2055682261","https://openalex.org/W1993363272","https://openalex.org/W2186390138","https://openalex.org/W2060035984","https://openalex.org/W2790129917","https://openalex.org/W2992856432","https://openalex.org/W1978162990","https://openalex.org/W2548564146","https://openalex.org/W2167033870"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,96],"new":[4],"scheme":[5],"for":[6,69,112],"low":[7],"bit-rate":[8,98],"source":[9],"coding":[10],"of":[11,99],"Mel":[12],"Frequency":[13],"Cepstral":[14],"Coefficients":[15],"(MFCCs)":[16],"in":[17],"Distributed":[18],"Speech":[19],"Recognition":[20],"(DSR)":[21],"system.":[22],"The":[23,93,102,118],"method":[24],"uses":[25],"the":[26,39,46,55,59,70,74,77,88,109,131],"compressed":[27],"ETSI":[28],"Advanced":[29],"Front-End":[30],"(ETSI-AFE)":[31],"features":[32],"factorized":[33],"into":[34],"SVD":[35],"components.":[36],"By":[37],"investigating":[38],"correlation":[40],"property":[41],"between":[42],"successive":[43],"MFCC":[44],"frames,":[45],"odd":[47],"ones":[48],"are":[49,65,80],"encoded":[50,66],"using":[51],"ETSI-AFE,":[52],"while":[53],"only":[54],"singular":[56,62,85,91],"values":[57,86],"and":[58,67,87,114],"nearest":[60,89],"left":[61,90],"vectors":[63],"index":[64],"transmitted":[68],"even":[71],"frames.":[72],"At":[73],"server":[75],"side,":[76],"non-transmitted":[78],"MFCCs":[79],"evaluated":[81],"through":[82],"their":[83],"quantized":[84],"vectors.":[92],"system":[94],"provides":[95],"compression":[97],"2.7":[100],"kbps.":[101],"recognition":[103,123],"experiments":[104],"were":[105],"carried":[106],"out":[107],"on":[108],"Aurora-2":[110],"database":[111],"clean":[113],"multi-condition":[115],"training":[116],"modes.":[117],"simulation":[119],"results":[120],"show":[121],"good":[122],"performance":[124],"without":[125],"significant":[126],"degradation,":[127],"with":[128],"respect":[129],"to":[130],"ETSI-AFE":[132],"encoder.":[133]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}