{"id":"https://openalex.org/W4408355027","doi":"https://doi.org/10.1109/icassp49660.2025.10888785","title":"SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG","display_name":"SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408355027","doi":"https://doi.org/10.1109/icassp49660.2025.10888785"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5037493212","display_name":"Cunhang Fan","orcid":"https://orcid.org/0000-0001-6318-8803"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cunhang Fan","raw_affiliation_strings":["Anhui University,School of Computer Science and Technology,Hefei,China"],"affiliations":[{"raw_affiliation_string":"Anhui University,School of Computer Science and Technology,Hefei,China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100394022","display_name":"Sheng Zhang","orcid":"https://orcid.org/0000-0002-6581-6399"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Zhang","raw_affiliation_strings":["Anhui University,School of Computer Science and Technology,Hefei,China"],"affiliations":[{"raw_affiliation_string":"Anhui University,School of Computer Science and Technology,Hefei,China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100369375","display_name":"Jingjing Zhang","orcid":"https://orcid.org/0000-0002-1041-793X"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Zhang","raw_affiliation_strings":["Anhui University,School of Computer Science and Technology,Hefei,China"],"affiliations":[{"raw_affiliation_string":"Anhui University,School of Computer Science and Technology,Hefei,China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060530570","display_name":"Zexu Pan","orcid":"https://orcid.org/0000-0002-8106-1176"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zexu Pan","raw_affiliation_strings":["Alibaba Group,Singapore"],"affiliations":[{"raw_affiliation_string":"Alibaba Group,Singapore","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101578581","display_name":"Zhao Lv","orcid":"https://orcid.org/0000-0001-9727-366X"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Lv","raw_affiliation_strings":["Anhui University,School of Computer Science and Technology,Hefei,China"],"affiliations":[{"raw_affiliation_string":"Anhui University,School of Computer Science and Technology,Hefei,China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5037493212"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":1.4856,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.81114571,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.8666999936103821,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.8666999936103821,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10581","display_name":"Neural dynamics and brain function","score":0.8317000269889832,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.8113999962806702,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.8992506265640259},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6566376090049744},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5610684752464294},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4429605007171631},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.43931978940963745},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35296696424484253},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3253647983074188},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.12428918480873108},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10109332203865051}],"concepts":[{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.8992506265640259},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6566376090049744},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5610684752464294},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4429605007171631},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.43931978940963745},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35296696424484253},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3253647983074188},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.12428918480873108},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10109332203865051},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5400000214576721}],"awards":[],"funders":[{"id":"https://openalex.org/F4320307500","display_name":"Youth Foundation","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2106006415","https://openalex.org/W2971610554","https://openalex.org/W3013691153","https://openalex.org/W3097777922","https://openalex.org/W3196221522","https://openalex.org/W4210261408","https://openalex.org/W4302275239","https://openalex.org/W4316468787","https://openalex.org/W4362459190","https://openalex.org/W4367609927","https://openalex.org/W4375868978","https://openalex.org/W4385245566","https://openalex.org/W4385453220","https://openalex.org/W4385570408","https://openalex.org/W4385822861","https://openalex.org/W4387378260","https://openalex.org/W4387542167","https://openalex.org/W4392910298","https://openalex.org/W4392910587","https://openalex.org/W4401023906","https://openalex.org/W4401055959","https://openalex.org/W4401609042","https://openalex.org/W4403780811","https://openalex.org/W6803444062","https://openalex.org/W6810325043","https://openalex.org/W6857211398","https://openalex.org/W6859298233","https://openalex.org/W6863493712","https://openalex.org/W6868318807","https://openalex.org/W6873378755","https://openalex.org/W6875940788"],"related_works":["https://openalex.org/W2530685530","https://openalex.org/W4375868962","https://openalex.org/W2011227383","https://openalex.org/W2088854863","https://openalex.org/W4402568167","https://openalex.org/W2942893872","https://openalex.org/W3179495260","https://openalex.org/W1976719989","https://openalex.org/W2897924318","https://openalex.org/W2138997758"],"abstract_inverted_index":{"Decoding":[0],"speech":[1,16,57,83],"from":[2,84],"brain":[3],"signals":[4,103],"is":[5,48,114,133,156],"a":[6,50,71,91,146,157],"challenging":[7],"research":[8],"problem":[9],"that":[10,142],"holds":[11],"significant":[12],"importance":[13],"for":[14,104],"studying":[15],"processing":[17],"in":[18,26,53],"the":[19,28,38,61,78,98,108,111,118,127,152,161],"brain.":[20],"Although":[21],"breakthroughs":[22],"have":[23],"been":[24],"made":[25],"reconstructing":[27,55],"mel":[29,79],"spectrograms":[30],"of":[31,81,101,120,123,149],"audio":[32],"stimuli":[33],"perceived":[34],"by":[35],"subjects":[36],"at":[37,60],"word":[39],"or":[40],"letter":[41],"level":[42],"using":[43],"non-invasive":[44],"electroencephalography":[45],"(EEG),":[46],"there":[47],"still":[49],"critical":[51],"gap":[52],"precisely":[54],"continuous":[56,82],"features,":[58],"especially":[59],"minute":[62],"level.":[63],"To":[64],"address":[65],"this":[66,68],"issue,":[67],"paper":[69],"proposes":[70],"State":[72],"Space":[73],"Model":[74],"(SSM)":[75],"to":[76,95,116,135],"reconstruct":[77],"spectrogram":[80],"EEG,":[85],"named":[86],"SSM2Mel.":[87],"This":[88],"model":[89,97,144],"introduces":[90],"novel":[92],"Mamba":[93],"module":[94,132],"effectively":[96],"long":[99],"sequence":[100],"EEG":[102,124],"imagined":[105],"speech.":[106],"In":[107],"SSM2Mel":[109],"model,":[110],"S4-UNet":[112],"structure":[113],"used":[115,134],"enhance":[117],"extraction":[119],"local":[121],"features":[122],"signals,":[125],"and":[126],"Embedding":[128],"Strength":[129],"Modulator":[130],"(ESM)":[131],"incorporate":[136],"subject-specific":[137],"information.":[138],"Experimental":[139],"results":[140],"show":[141],"our":[143],"achieves":[145],"Pearson":[147],"correlation":[148],"0.069":[150],"on":[151],"SparrKULee":[153],"dataset,":[154],"which":[155],"38%":[158],"improvement":[159],"over":[160],"previous":[162],"baseline.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
