{"id":"https://openalex.org/W2439446790","doi":"https://doi.org/10.1109/tmm.2016.2561840","title":"An Error Mitigation Technique for Erasure Channels Based on a Wavelet Representation of the Speech Excitation Signal","display_name":"An Error Mitigation Technique for Erasure Channels Based on a Wavelet Representation of the Speech Excitation Signal","publication_year":2016,"publication_date":"2016-05-03","ids":{"openalex":"https://openalex.org/W2439446790","doi":"https://doi.org/10.1109/tmm.2016.2561840","mag":"2439446790"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2016.2561840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2016.2561840","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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/A5049583890","display_name":"Domingo L\u00f3pez-Oller","orcid":"https://orcid.org/0000-0003-0009-7618"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Domingo Lopez-Oller","raw_affiliation_strings":["Department of Signal Theory, Networking, and Communications, University of Granada, Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Signal Theory, Networking, and Communications, University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024291487","display_name":"\u00c1ngel M. G\u00f3mez","orcid":"https://orcid.org/0000-0002-9995-3068"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Angel M. Gomez","raw_affiliation_strings":["Department of Signal Theory, Networking, and Communications, University of Granada, Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Signal Theory, Networking, and Communications, University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057037449","display_name":"Jos\u00e9 L. P\u00e9rez-C\u00f3rdoba","orcid":"https://orcid.org/0000-0002-1686-2401"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose L. Perez-Cordoba","raw_affiliation_strings":["Department of Signal Theory, Networking, and Communications, University of Granada, Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Signal Theory, Networking, and Communications, University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028849516","display_name":"Victoria S\u00e1nchez","orcid":"https://orcid.org/0000-0003-1546-9728"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Victoria Sanchez","raw_affiliation_strings":["Department of Signal Theory, Networking, and Communications, University of Granada, Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Signal Theory, Networking, and Communications, University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5049583890"],"corresponding_institution_ids":["https://openalex.org/I173304897"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.04740967,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"18","issue":"7","first_page":"1245","last_page":"1256"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":1.0,"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":1.0,"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":0.9991999864578247,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9980000257492065,"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/computer-science","display_name":"Computer science","score":0.8206668496131897},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.6495862007141113},{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.6258897185325623},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.5980525016784668},{"id":"https://openalex.org/keywords/code-excited-linear-prediction","display_name":"Code-excited linear prediction","score":0.5536999702453613},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5090956091880798},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.49337783455848694},{"id":"https://openalex.org/keywords/linear-predictive-coding","display_name":"Linear predictive coding","score":0.46838265657424927},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4660106301307678},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.44594964385032654},{"id":"https://openalex.org/keywords/codec2","display_name":"Codec2","score":0.4458692967891693},{"id":"https://openalex.org/keywords/adaptive-multi-rate-audio-codec","display_name":"Adaptive Multi-Rate audio codec","score":0.42599672079086304},{"id":"https://openalex.org/keywords/linear-prediction","display_name":"Linear prediction","score":0.4177316427230835},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4129011631011963},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38241034746170044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2802724838256836},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.26754963397979736},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.25760290026664734},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18923267722129822}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8206668496131897},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.6495862007141113},{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.6258897185325623},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.5980525016784668},{"id":"https://openalex.org/C105964291","wikidata":"https://www.wikidata.org/wiki/Q856184","display_name":"Code-excited linear prediction","level":4,"score":0.5536999702453613},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5090956091880798},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.49337783455848694},{"id":"https://openalex.org/C59883199","wikidata":"https://www.wikidata.org/wiki/Q1826438","display_name":"Linear predictive coding","level":3,"score":0.46838265657424927},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4660106301307678},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.44594964385032654},{"id":"https://openalex.org/C75217168","wikidata":"https://www.wikidata.org/wiki/Q1105653","display_name":"Codec2","level":4,"score":0.4458692967891693},{"id":"https://openalex.org/C177067256","wikidata":"https://www.wikidata.org/wiki/Q4676210","display_name":"Adaptive Multi-Rate audio codec","level":4,"score":0.42599672079086304},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.4177316427230835},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4129011631011963},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38241034746170044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2802724838256836},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.26754963397979736},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.25760290026664734},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18923267722129822},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2016.2561840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2016.2561840","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321837","display_name":"Ministerio de Econom\u00eda y Competitividad","ror":"https://ror.org/034900433"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W75086142","https://openalex.org/W82901235","https://openalex.org/W1519698338","https://openalex.org/W1532232282","https://openalex.org/W1601565559","https://openalex.org/W1864555471","https://openalex.org/W1955215333","https://openalex.org/W1993395680","https://openalex.org/W2039374652","https://openalex.org/W2044440697","https://openalex.org/W2046939284","https://openalex.org/W2067142147","https://openalex.org/W2068641562","https://openalex.org/W2081869022","https://openalex.org/W2102198612","https://openalex.org/W2103442919","https://openalex.org/W2105871264","https://openalex.org/W2105913098","https://openalex.org/W2117960302","https://openalex.org/W2118363836","https://openalex.org/W2126206051","https://openalex.org/W2132036212","https://openalex.org/W2134383396","https://openalex.org/W2136264134","https://openalex.org/W2137539246","https://openalex.org/W2141354041","https://openalex.org/W2143954638","https://openalex.org/W2148151265","https://openalex.org/W2151626637","https://openalex.org/W2157830694","https://openalex.org/W2163324046","https://openalex.org/W2170655593","https://openalex.org/W2321297794","https://openalex.org/W4229842515","https://openalex.org/W4299409612","https://openalex.org/W6603126254","https://openalex.org/W6648809140","https://openalex.org/W6678883284","https://openalex.org/W6684341416"],"related_works":["https://openalex.org/W3034644940","https://openalex.org/W568589707","https://openalex.org/W1551277881","https://openalex.org/W2151033622","https://openalex.org/W1570840316","https://openalex.org/W2121846146","https://openalex.org/W2114934544","https://openalex.org/W1544698548","https://openalex.org/W2027067793","https://openalex.org/W2155796184"],"abstract_inverted_index":{"The":[0],"importance":[1],"of":[2,35,49,60,75,87,107,152,179],"packet-based":[3],"speech":[4,89,182],"transmissions":[5],"has":[6],"grown":[7],"since":[8],"it":[9],"offers":[10],"cheaper":[11],"and":[12,25,56,93,105,136,168,207],"efficient":[13],"communications.":[14],"However,":[15],"frame":[16,63,154],"erasures":[17],"are":[18,28,71,171],"a":[19,32,42,66,76,84,118,142,147,153],"common":[20],"hurdle":[21],"in":[22,141,158,173,199],"these":[23],"networks":[24],"concealment":[26],"techniques":[27],"necessary":[29],"to":[30,121,175],"ensure":[31],"minimum":[33,77],"quality":[34,178],"service.":[36],"In":[37],"this":[38,98,130],"paper,":[39],"we":[40,111],"propose":[41],"mitigation":[43,196],"technique":[44],"focused":[45],"on":[46,83,102],"the":[47,50,57,61,88,94,103,108,113,123,149,177,180,194,200],"reconstruction":[48],"linear":[51],"prediction":[52],"coding":[53],"(LPC)":[54],"coefficients":[55,92],"excitation":[58,95,109,124,150],"signal":[59,125,151,183],"lost":[62],"by":[64,73],"using":[65],"replacement":[67],"technique.":[68],"These":[69],"replacements":[70],"obtained":[72],"means":[74],"mean":[78],"square":[79],"error":[80,127],"estimation":[81],"based":[82],"source":[85],"model":[86],"parameters":[90],"(LPC":[91],"signal).":[96],"As":[97,146],"approach":[99,120],"critically":[100],"relies":[101],"quantization":[104],"representation":[106],"signal,":[110],"explore":[112],"Haar":[114,143],"wavelet":[115],"transform":[116],"as":[117],"novel":[119],"represent":[122],"for":[126],"mitigation.":[128],"Thus,":[129],"paper":[131],"describes":[132],"how":[133],"optimal":[134],"codebook":[135],"estimates":[137],"can":[138,155],"be":[139,156],"computed":[140],"transformed":[144],"domain.":[145],"result,":[148],"decomposed":[157],"several":[159],"partitions":[160],"where":[161],"each":[162],"one":[163],"is":[164],"independently":[165],"reconstructed.":[166],"Objective":[167],"subjective":[169],"tests":[170],"conducted":[172],"order":[174],"assess":[176],"concealed":[181],"resulting":[184],"from":[185],"our":[186],"proposal.":[187],"Both":[188],"evaluations":[189],"confirm":[190],"noticeable":[191],"improvements":[192],"over":[193],"default":[195],"method":[197],"included":[198],"two":[201],"tested":[202],"standard":[203],"codecs,":[204],"adaptive":[205],"multirate,":[206],"Internet":[208],"low":[209],"bitrate":[210],"codec.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}