{"id":"https://openalex.org/W4406138072","doi":"https://doi.org/10.1109/jstsp.2024.3524022","title":"Latent Mixup Knowledge Distillation for Single Channel Speech Enhancement","display_name":"Latent Mixup Knowledge Distillation for Single Channel Speech Enhancement","publication_year":2024,"publication_date":"2024-12-01","ids":{"openalex":"https://openalex.org/W4406138072","doi":"https://doi.org/10.1109/jstsp.2024.3524022"},"language":"en","primary_location":{"id":"doi:10.1109/jstsp.2024.3524022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2024.3524022","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in Signal Processing","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/A5024312006","display_name":"Behnam Gholami","orcid":"https://orcid.org/0000-0003-0338-1921"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Behnam Gholami","raw_affiliation_strings":["Samsung Device Solutions Research America, Samsung Semiconductor, Inc., San Diego, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-0338-1921","affiliations":[{"raw_affiliation_string":"Samsung Device Solutions Research America, Samsung Semiconductor, Inc., San Diego, CA, USA","institution_ids":["https://openalex.org/I4210101778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022805456","display_name":"Mostafa El\u2010Khamy","orcid":"https://orcid.org/0000-0001-9421-6037"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]},{"id":"https://openalex.org/I84524832","display_name":"Alexandria University","ror":"https://ror.org/00mzz1w90","country_code":"EG","type":"education","lineage":["https://openalex.org/I84524832"]}],"countries":["EG","US"],"is_corresponding":false,"raw_author_name":"Mostafa El-Khamy","raw_affiliation_strings":["Samsung Device Solutions Research America, Samsung Semiconductor, Inc., San Diego, CA, USA","Alexandria University, Alexandria, Egypt"],"raw_orcid":"https://orcid.org/0000-0001-9421-6037","affiliations":[{"raw_affiliation_string":"Samsung Device Solutions Research America, Samsung Semiconductor, Inc., San Diego, CA, USA","institution_ids":["https://openalex.org/I4210101778"]},{"raw_affiliation_string":"Alexandria University, Alexandria, Egypt","institution_ids":["https://openalex.org/I84524832"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113919277","display_name":"Kee-Bong Song","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kee-Bong Song","raw_affiliation_strings":["Samsung Device Solutions Research America, Samsung Semiconductor, Inc., San Diego, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Device Solutions Research America, Samsung Semiconductor, Inc., San Diego, CA, USA","institution_ids":["https://openalex.org/I4210101778"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2815,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54844425,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"18","issue":"8","first_page":"1544","last_page":"1556"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9901000261306763,"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/computer-science","display_name":"Computer science","score":0.6693891286849976},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.46578043699264526},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.465211421251297},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.46186333894729614},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.43532708287239075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40223756432533264},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34235337376594543},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32052797079086304},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.13999775052070618},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.10556495189666748}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6693891286849976},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.46578043699264526},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.465211421251297},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.46186333894729614},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.43532708287239075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40223756432533264},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34235337376594543},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32052797079086304},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.13999775052070618},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.10556495189666748},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstsp.2024.3524022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2024.3524022","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W1494198834","https://openalex.org/W1897240248","https://openalex.org/W2000005949","https://openalex.org/W2044893557","https://openalex.org/W2078528584","https://openalex.org/W2242685705","https://openalex.org/W2289394825","https://openalex.org/W2291877678","https://openalex.org/W2508418541","https://openalex.org/W2526733715","https://openalex.org/W2603567530","https://openalex.org/W2936689732","https://openalex.org/W2938357656","https://openalex.org/W2940275453","https://openalex.org/W2943554574","https://openalex.org/W2946277146","https://openalex.org/W2962866211","https://openalex.org/W2963103134","https://openalex.org/W2963341071","https://openalex.org/W2963868408","https://openalex.org/W2972384212","https://openalex.org/W2972443522","https://openalex.org/W2972548957","https://openalex.org/W2972956184","https://openalex.org/W2982242214","https://openalex.org/W2998161426","https://openalex.org/W3016050488","https://openalex.org/W3025165719","https://openalex.org/W3025268118","https://openalex.org/W3030102521","https://openalex.org/W3031505850","https://openalex.org/W3083146453","https://openalex.org/W3092363263","https://openalex.org/W3096518646","https://openalex.org/W3097945073","https://openalex.org/W3113290170","https://openalex.org/W3134191546","https://openalex.org/W3134695619","https://openalex.org/W3161950572","https://openalex.org/W3163105696","https://openalex.org/W3164605550","https://openalex.org/W3197729725","https://openalex.org/W3201382970","https://openalex.org/W3201698955","https://openalex.org/W3202329792","https://openalex.org/W3206809722","https://openalex.org/W3213188934","https://openalex.org/W3214513014","https://openalex.org/W4221143458","https://openalex.org/W4224929675","https://openalex.org/W4225309689","https://openalex.org/W4253928870","https://openalex.org/W4289639938","https://openalex.org/W4296069272","https://openalex.org/W4385245566","https://openalex.org/W4385485061","https://openalex.org/W6637551013","https://openalex.org/W6638523607","https://openalex.org/W6662018355","https://openalex.org/W6722866051","https://openalex.org/W6730179637","https://openalex.org/W6734878519","https://openalex.org/W6745136726","https://openalex.org/W6748082341","https://openalex.org/W6756251360","https://openalex.org/W6762114000","https://openalex.org/W6785523640","https://openalex.org/W6795323005","https://openalex.org/W6802022188","https://openalex.org/W6850692753"],"related_works":["https://openalex.org/W3026162553","https://openalex.org/W1630865680","https://openalex.org/W4214692512","https://openalex.org/W2344382886","https://openalex.org/W19111321","https://openalex.org/W2412887479","https://openalex.org/W32245304","https://openalex.org/W2953684491","https://openalex.org/W3096184950","https://openalex.org/W4231424160"],"abstract_inverted_index":{"Traditional":[0],"speech":[1,60,92,104,115],"enhancement":[2,61,93,116],"methods":[3,117],"often":[4],"rely":[5],"on":[6,88],"complex":[7,31,74],"signal":[8],"processing":[9],"algorithms,":[10],"which":[11],"may":[12,20],"not":[13],"be":[14,41],"efficient":[15,83],"for":[16,59,103,138],"real-time":[17],"applications":[18],"or":[19],"suffer":[21],"from":[22],"limitations":[23],"in":[24,37,66,132,140],"handling":[25],"various":[26],"types":[27],"of":[28,71,98],"noise.":[29],"Deploying":[30],"Deep":[32],"Neural":[33],"Network":[34],"(DNN)":[35],"models":[36],"resource-constrained":[38,141],"environments":[39,142],"can":[40],"challenging":[42],"due":[43],"to":[44,78,122],"their":[45],"high":[46],"computational":[47,133],"requirements.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52],"propose":[53],"a":[54,72,80,89],"Knowledge":[55],"Distillation":[56],"(KD)":[57],"method":[58,102,128],"leveraging":[62],"the":[63,67,96,99,123],"information":[64],"stored":[65],"intermediate":[68],"latent":[69],"features":[70],"very":[73],"DNN":[75],"(teacher)":[76],"model":[77,108],"train":[79],"smaller,":[81],"more":[82],"(student)":[84],"model.":[85,125],"Experimental":[86],"results":[87],"two":[90],"benchmark":[91],"datasets":[94],"demonstrate":[95],"effectiveness":[97],"proposed":[100],"KD":[101],"enhancement.":[105],"The":[106],"student":[107],"trained":[109],"with":[110],"knowledge":[111],"distillation":[112],"outperforms":[113],"SOTA":[114],"and":[118,147],"achieves":[119,129],"comparable":[120],"performance":[121],"teacher":[124],"Furthermore,":[126],"our":[127],"significant":[130],"reductions":[131],"complexity,":[134],"making":[135],"it":[136],"suitable":[137],"deployment":[139],"such":[143],"as":[144],"embedded":[145],"systems":[146],"mobile":[148],"devices.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}