{"id":"https://openalex.org/W2021453316","doi":"https://doi.org/10.1109/icassp.2013.6639034","title":"Stereo-based feature enhancement using dictionary learning","display_name":"Stereo-based feature enhancement using dictionary learning","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2021453316","doi":"https://doi.org/10.1109/icassp.2013.6639034","mag":"2021453316"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6639034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 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/A5001291873","display_name":"Shinji Watanabe","orcid":"https://orcid.org/0000-0002-5970-8631"},"institutions":[{"id":"https://openalex.org/I146094533","display_name":"Mitsubishi Corporation (United States)","ror":"https://ror.org/01jce8981","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I146094533","https://openalex.org/I4210101380"]},{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shinji Watanabe","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories, Cambridge, MA, USA","Mitsubishi Electr. Res. Lab. (MERL), Cambridge, MA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210159266"]},{"raw_affiliation_string":"Mitsubishi Electr. Res. Lab. (MERL), Cambridge, MA, USA#TAB#","institution_ids":["https://openalex.org/I146094533"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112763337","display_name":"John R. Hershey","orcid":null},"institutions":[{"id":"https://openalex.org/I146094533","display_name":"Mitsubishi Corporation (United States)","ror":"https://ror.org/01jce8981","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I146094533","https://openalex.org/I4210101380"]},{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John R. Hershey","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories, Cambridge, MA, USA","Mitsubishi Electr. Res. Lab. (MERL), Cambridge, MA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210159266"]},{"raw_affiliation_string":"Mitsubishi Electr. Res. Lab. (MERL), Cambridge, MA, USA#TAB#","institution_ids":["https://openalex.org/I146094533"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"7073","last_page":"7077"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":1.0,"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":1.0,"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":0.9994000196456909,"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":0.9993000030517578,"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":0.7399531006813049},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6721948981285095},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6492615938186646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6254723072052002},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.6024104356765747},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5904109477996826},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5618870258331299},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4680573344230652},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4433704614639282},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42980608344078064},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.41715532541275024},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.16820397973060608},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06173399090766907}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7399531006813049},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6721948981285095},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6492615938186646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6254723072052002},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.6024104356765747},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5904109477996826},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5618870258331299},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4680573344230652},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4433704614639282},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42980608344078064},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.41715532541275024},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.16820397973060608},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06173399090766907},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2013.6639034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6399999856948853,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1279245896","https://openalex.org/W2034870236","https://openalex.org/W2039844283","https://openalex.org/W2067474491","https://openalex.org/W2070707809","https://openalex.org/W2101045344","https://openalex.org/W2104298926","https://openalex.org/W2112447569","https://openalex.org/W2120689488","https://openalex.org/W2125610823","https://openalex.org/W2125743092","https://openalex.org/W2128659236","https://openalex.org/W2132695714","https://openalex.org/W2134218976","https://openalex.org/W2144049961","https://openalex.org/W2160547390","https://openalex.org/W2160815625","https://openalex.org/W2163312093","https://openalex.org/W2164115090","https://openalex.org/W2184045248","https://openalex.org/W2296616510","https://openalex.org/W4205390861","https://openalex.org/W4250955649","https://openalex.org/W6668103105","https://openalex.org/W6676113301","https://openalex.org/W6676727762","https://openalex.org/W6683953266"],"related_works":["https://openalex.org/W2546942002","https://openalex.org/W2016461833","https://openalex.org/W2365178682","https://openalex.org/W2018489529","https://openalex.org/W3097870040","https://openalex.org/W2035646574","https://openalex.org/W2390182490","https://openalex.org/W2392877918","https://openalex.org/W1583560604","https://openalex.org/W2759593753"],"abstract_inverted_index":{"This":[0,38],"paper":[1,39],"proposes":[2],"stereo-based":[3],"speech":[4,35,51,67],"feature":[5,36],"enhancement":[6],"using":[7,62],"dictionary":[8],"learning.":[9],"Instead":[10],"of":[11,57],"posterior":[12],"values":[13],"obtained":[14],"by":[15,61,76],"a":[16,63],"Gaussian":[17],"mixture":[18],"as":[19,31],"in":[20],"other":[21],"methods,":[22],"we":[23],"use":[24],"sparse":[25],"weight":[26],"vectors":[27],"and":[28,82],"their":[29],"variants":[30],"an":[32,42],"alternative":[33],"noisy":[34,66],"representation.":[37],"also":[40],"provides":[41],"efficient":[43],"algorithm":[44],"that":[45],"can":[46],"be":[47],"applied":[48],"to":[49],"large-scale":[50],"processing.":[52],"We":[53],"show":[54],"the":[55,58,77],"effectiveness":[56],"proposed":[59],"approach":[60],"middle":[64],"vocabulary":[65],"recognition":[68],"task":[69],"based":[70],"on":[71],"WSJ,":[72],"which":[73],"was":[74],"provided":[75],"2nd":[78],"CHiME":[79],"Speech":[80],"Separation":[81],"Recognition":[83],"Challenge.":[84]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
