{"id":"https://openalex.org/W4413755613","doi":"https://doi.org/10.1109/isvlsi65124.2025.11130228","title":"Leveraging Low-Rank Factorization for Compressing DNN Speech Enhancement Models","display_name":"Leveraging Low-Rank Factorization for Compressing DNN Speech Enhancement Models","publication_year":2025,"publication_date":"2025-07-06","ids":{"openalex":"https://openalex.org/W4413755613","doi":"https://doi.org/10.1109/isvlsi65124.2025.11130228"},"language":"en","primary_location":{"id":"doi:10.1109/isvlsi65124.2025.11130228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isvlsi65124.2025.11130228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)","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/A5114522264","display_name":"Zahra Kokhazad","orcid":null},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Zahra Kokhazad","raw_affiliation_strings":["Aristotle University of Thessaloniki,School of Informatics,Thessaloniki,Greece"],"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki,School of Informatics,Thessaloniki,Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056501771","display_name":"Milad Kokhazadeh","orcid":"https://orcid.org/0009-0001-7430-3691"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Milad Kokhazadeh","raw_affiliation_strings":["Aristotle University of Thessaloniki,School of Informatics,Thessaloniki,Greece"],"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki,School of Informatics,Thessaloniki,Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074371053","display_name":"\u0393\u03b5\u03ce\u03c1\u03b3\u03b9\u03bf\u03c2 \u039a\u03b5\u03c1\u03b1\u03bc\u03af\u03b4\u03b1\u03c2","orcid":"https://orcid.org/0000-0003-0460-6061"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Georgios Keramidas","raw_affiliation_strings":["Aristotle University of Thessaloniki,School of Informatics,Thessaloniki,Greece"],"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki,School of Informatics,Thessaloniki,Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5099870926","display_name":"Vasilios Kelefouras","orcid":"https://orcid.org/0000-0002-3340-3792"},"institutions":[{"id":"https://openalex.org/I897542642","display_name":"University of Plymouth","ror":"https://ror.org/008n7pv89","country_code":"GB","type":"education","lineage":["https://openalex.org/I897542642"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Vasilios Kelefouras","raw_affiliation_strings":["University of Plymouth,School of Engineering, Computing and Mathematics,Plymouth,United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Plymouth,School of Engineering, Computing and Mathematics,Plymouth,United Kingdom","institution_ids":["https://openalex.org/I897542642"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5114522264"],"corresponding_institution_ids":["https://openalex.org/I21370196"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33504723,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9914000034332275,"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/T13289","display_name":"Infant Health and Development","score":0.9350000023841858,"subfield":{"id":"https://openalex.org/subfields/3611","display_name":"Pharmacy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7293234467506409},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5937626957893372},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.5857968926429749},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.5812276601791382},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5268917083740234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34834158420562744},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13735723495483398},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12693238258361816},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.10105574131011963}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7293234467506409},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5937626957893372},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.5857968926429749},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.5812276601791382},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5268917083740234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34834158420562744},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13735723495483398},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12693238258361816},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.10105574131011963},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isvlsi65124.2025.11130228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isvlsi65124.2025.11130228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1552314771","https://openalex.org/W1897240248","https://openalex.org/W1993482030","https://openalex.org/W2078528584","https://openalex.org/W3001387854","https://openalex.org/W3034368386","https://openalex.org/W3137147200","https://openalex.org/W3198686072","https://openalex.org/W4221149546","https://openalex.org/W4291214065","https://openalex.org/W4312570973","https://openalex.org/W4385822774","https://openalex.org/W4388805985","https://openalex.org/W4391885548","https://openalex.org/W4392909774","https://openalex.org/W4400224486","https://openalex.org/W4401726555","https://openalex.org/W4401808633","https://openalex.org/W4402264531","https://openalex.org/W4404057366"],"related_works":["https://openalex.org/W2794559785","https://openalex.org/W1754499339","https://openalex.org/W2013873776","https://openalex.org/W2950281908","https://openalex.org/W2963117165","https://openalex.org/W2084977674","https://openalex.org/W2583828359","https://openalex.org/W3102011585","https://openalex.org/W3096184950","https://openalex.org/W4231424160"],"abstract_inverted_index":{"Speech":[0],"enhancement":[1],"(SE)":[2],"is":[3,33,54],"a":[4],"critical":[5],"problem":[6],"in":[7,15,88],"signal":[8],"processing,":[9],"aiming":[10],"to":[11],"improve":[12],"speech":[13,98],"quality":[14],"noisy":[16],"environments.":[17],"As":[18],"edge":[19],"devices":[20],"such":[21],"as":[22],"microcontrollers":[23],"and":[24,39,50,92],"wearables":[25],"often":[26],"operate":[27],"under":[28],"strict":[29],"resource":[30],"constraints,":[31],"there":[32],"an":[34],"increasing":[35],"demand":[36],"for":[37,46,66,71],"compact":[38],"efficient":[40],"SE":[41,72],"models.":[42,73],"One":[43],"effective":[44],"technique":[45],"reducing":[47,89],"model":[48,67,90],"complexity":[49],"improving":[51],"its":[52],"efficiency":[53],"low-rank":[55],"factorization":[56],"(LRF).":[57],"This":[58],"work":[59],"applies":[60],"previously":[61],"published":[62],"methodologies":[63],"on":[64],"LRF":[65],"compression,":[68],"but":[69],"tailored":[70],"The":[74],"key":[75],"contributions":[76],"of":[77,84],"this":[78],"paper":[79],"include":[80],"demonstrating":[81],"the":[82,85,97],"effectiveness":[83],"proposed":[86],"methods":[87],"parameters":[91],"arithmetic":[93],"operations,":[94],"while":[95],"keeping":[96],"quality.":[99]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}