{"id":"https://openalex.org/W2037153751","doi":"https://doi.org/10.1109/icassp.2014.6854171","title":"Perceptual matching pursuit with Gabor dictionaries and time-frequency masking","display_name":"Perceptual matching pursuit with Gabor dictionaries and time-frequency masking","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2037153751","doi":"https://doi.org/10.1109/icassp.2014.6854171","mag":"2037153751"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6854171","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854171","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5044580520","display_name":"Gilles Chardon","orcid":"https://orcid.org/0000-0003-0483-9957"},"institutions":[{"id":"https://openalex.org/I138211613","display_name":"Austrian Academy of Sciences","ror":"https://ror.org/03anc3s24","country_code":"AT","type":"government","lineage":["https://openalex.org/I138211613"]},{"id":"https://openalex.org/I2800119247","display_name":"Acoustics Research Institute","ror":"https://ror.org/04jd9ff79","country_code":"AT","type":"facility","lineage":["https://openalex.org/I138211613","https://openalex.org/I2800119247"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Gilles Chardon","raw_affiliation_strings":["Acoustics Research Institute, Austrian Academy of Sciences, Vienna, Austria","Acoust. Res. Inst., Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Acoustics Research Institute, Austrian Academy of Sciences, Vienna, Austria","institution_ids":["https://openalex.org/I138211613","https://openalex.org/I2800119247"]},{"raw_affiliation_string":"Acoust. Res. Inst., Vienna, Austria","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085360833","display_name":"Thibaud Necciari","orcid":"https://orcid.org/0000-0003-2574-0948"},"institutions":[{"id":"https://openalex.org/I138211613","display_name":"Austrian Academy of Sciences","ror":"https://ror.org/03anc3s24","country_code":"AT","type":"government","lineage":["https://openalex.org/I138211613"]},{"id":"https://openalex.org/I2800119247","display_name":"Acoustics Research Institute","ror":"https://ror.org/04jd9ff79","country_code":"AT","type":"facility","lineage":["https://openalex.org/I138211613","https://openalex.org/I2800119247"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Thibaud Necciari","raw_affiliation_strings":["Acoustics Research Institute, Austrian Academy of Sciences, Vienna, Austria","Acoust. Res. Inst., Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Acoustics Research Institute, Austrian Academy of Sciences, Vienna, Austria","institution_ids":["https://openalex.org/I138211613","https://openalex.org/I2800119247"]},{"raw_affiliation_string":"Acoust. Res. Inst., Vienna, Austria","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084861530","display_name":"P\u00e9ter Bal\u00e1zs","orcid":"https://orcid.org/0000-0003-4939-0831"},"institutions":[{"id":"https://openalex.org/I138211613","display_name":"Austrian Academy of Sciences","ror":"https://ror.org/03anc3s24","country_code":"AT","type":"government","lineage":["https://openalex.org/I138211613"]},{"id":"https://openalex.org/I2800119247","display_name":"Acoustics Research Institute","ror":"https://ror.org/04jd9ff79","country_code":"AT","type":"facility","lineage":["https://openalex.org/I138211613","https://openalex.org/I2800119247"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Peter Balazs","raw_affiliation_strings":["Acoustics Research Institute, Austrian Academy of Sciences, Vienna, Austria","Acoust. Res. Inst., Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Acoustics Research Institute, Austrian Academy of Sciences, Vienna, Austria","institution_ids":["https://openalex.org/I138211613","https://openalex.org/I2800119247"]},{"raw_affiliation_string":"Acoust. Res. Inst., Vienna, Austria","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7192,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.7520817,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3102","last_page":"3106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.9334447979927063},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.9022239446640015},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6311225891113281},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.5919284820556641},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5821565389633179},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5507506132125854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5397390723228455},{"id":"https://openalex.org/keywords/auditory-masking","display_name":"Auditory masking","score":0.5341982245445251},{"id":"https://openalex.org/keywords/gabor-transform","display_name":"Gabor transform","score":0.5258128046989441},{"id":"https://openalex.org/keywords/psychoacoustics","display_name":"Psychoacoustics","score":0.5110751390457153},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.492678701877594},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4886091351509094},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.44355735182762146},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.43811342120170593},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.42560243606567383},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3046759068965912},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.30452579259872437},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.2994219660758972},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29490381479263306},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09390002489089966},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.0644616186618805}],"concepts":[{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.9334447979927063},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.9022239446640015},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6311225891113281},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.5919284820556641},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5821565389633179},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5507506132125854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5397390723228455},{"id":"https://openalex.org/C77801330","wikidata":"https://www.wikidata.org/wiki/Q1363413","display_name":"Auditory masking","level":3,"score":0.5341982245445251},{"id":"https://openalex.org/C173149727","wikidata":"https://www.wikidata.org/wiki/Q996397","display_name":"Gabor transform","level":4,"score":0.5258128046989441},{"id":"https://openalex.org/C9940772","wikidata":"https://www.wikidata.org/wiki/Q557399","display_name":"Psychoacoustics","level":3,"score":0.5110751390457153},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.492678701877594},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4886091351509094},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.44355735182762146},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.43811342120170593},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.42560243606567383},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3046759068965912},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.30452579259872437},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.2994219660758972},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29490381479263306},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09390002489089966},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.0644616186618805},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2014.6854171","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854171","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W23690688","https://openalex.org/W1970352604","https://openalex.org/W1980454827","https://openalex.org/W1986931325","https://openalex.org/W2013025417","https://openalex.org/W2050758723","https://openalex.org/W2078634868","https://openalex.org/W2095328514","https://openalex.org/W2100032013","https://openalex.org/W2105892554","https://openalex.org/W2108708552","https://openalex.org/W2124615592","https://openalex.org/W2129650415","https://openalex.org/W2133952491","https://openalex.org/W2138926359","https://openalex.org/W2151693816","https://openalex.org/W2159372782","https://openalex.org/W2162285589","https://openalex.org/W2170789151","https://openalex.org/W2171147077","https://openalex.org/W3146382430","https://openalex.org/W6600937817","https://openalex.org/W6685185014"],"related_works":["https://openalex.org/W2011611369","https://openalex.org/W4297791310","https://openalex.org/W4245251483","https://openalex.org/W1998873033","https://openalex.org/W2116148865","https://openalex.org/W4372266926","https://openalex.org/W2366556501","https://openalex.org/W2965458591","https://openalex.org/W1520740474","https://openalex.org/W4254934694"],"abstract_inverted_index":{"This":[0,88],"paper":[1],"describes":[2],"a":[3,7,13,32,42,53],"method":[4],"to":[5,106],"obtain":[6,41],"perceptually":[8],"relevant":[9],"sparse":[10],"representation":[11],"of":[12,55,86,122,136],"sound":[14],"signal.":[15],"Based":[16],"on":[17,25,82],"matching":[18,34],"pursuit":[19,35],"(MP)":[20],"and":[21,49,76,125],"recent":[22],"psychoacoustic":[23],"data":[24],"time-frequency":[26,103],"masking":[27,47,78,104,118],"measured":[28],"with":[29,58],"Gabor":[30,56],"atoms,":[31],"perceptual":[33],"(PMP)":[36],"algorithm":[37,140],"is":[38,61,71,80],"proposed.":[39],"To":[40],"good":[43],"match":[44],"between":[45,120],"the":[46,50,66,69,77,83,92,96,137],"model":[48,79],"signal":[51,70],"representation,":[52],"dictionary":[54],"atoms":[57,109,121],"variable":[59],"sizes":[60,124],"chosen":[62],"for":[63,90,117,130],"MP.":[64],"In":[65],"proposed":[67,138],"method,":[68],"first":[72],"decomposed":[73],"using":[74,111],"MP":[75],"applied":[81],"resulting":[84],"set":[85],"atoms.":[87],"allows":[89,105,129],"isolating":[91],"masked":[93],"components":[94],"from":[95],"residual.":[97],"Experimental":[98],"results":[99],"show":[100],"that":[101],"exploiting":[102],"remove":[107],"more":[108],"than":[110],"only":[112],"spectral":[113],"masking.":[114],"Additionally,":[115],"accounting":[116],"effects":[119],"different":[123,127],"at":[126],"times":[128],"sparser":[131],"representations.":[132],"The":[133],"objective":[134],"evaluation":[135],"PMP":[139],"indicates":[141],"imperceptible":[142],"distortions.":[143]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
