{"id":"https://openalex.org/W7133548967","doi":"https://doi.org/10.48550/arxiv.2603.02250","title":"SGPA: Spectrogram-Guided Phonetic Alignment for Feasible Shapley Value Explanations in Multimodal Large Language Models","display_name":"SGPA: Spectrogram-Guided Phonetic Alignment for Feasible Shapley Value Explanations in Multimodal Large Language Models","publication_year":2026,"publication_date":"2026-02-25","ids":{"openalex":"https://openalex.org/W7133548967","doi":"https://doi.org/10.48550/arxiv.2603.02250"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.02250","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.02250","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.02250","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Pozorski, Pawe\u0142","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pozorski, Pawe\u0142","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Muszy\u0144ski, Jakub","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Muszy\u0144ski, Jakub","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Ganzha, Maria","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ganzha, Maria","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.32359999418258667,"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"}},"topics":[{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.32359999418258667,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.16940000653266907,"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/T11309","display_name":"Music and Audio Processing","score":0.06199999898672104,"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/utterance","display_name":"Utterance","score":0.553600013256073},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.5067999958992004},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.47519999742507935},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.4239000082015991},{"id":"https://openalex.org/keywords/connectionism","display_name":"Connectionism","score":0.4212000072002411},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4162999987602234},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.39739999175071716},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.3903999924659729},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.3889000117778778}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6823999881744385},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5996999740600586},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.553600013256073},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.5067999958992004},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.47519999742507935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46779999136924744},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4239000082015991},{"id":"https://openalex.org/C8521452","wikidata":"https://www.wikidata.org/wiki/Q203790","display_name":"Connectionism","level":3,"score":0.4212000072002411},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4162999987602234},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4099999964237213},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.39739999175071716},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.3903999924659729},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.3889000117778778},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.3677999973297119},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.366100013256073},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3476000130176544},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.34360000491142273},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.3407999873161316},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3156999945640564},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.28040000796318054},{"id":"https://openalex.org/C2779581591","wikidata":"https://www.wikidata.org/wiki/Q36244","display_name":"Vowel","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.25850000977516174},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.02250","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.02250","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.02250","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.02250","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.45326974987983704}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Explaining":[0],"the":[1,26,105],"behavior":[2],"of":[3],"end-to-end":[4],"audio":[5,36,76,116],"language":[6],"models":[7],"via":[8],"Shapley":[9],"value":[10],"attribution":[11,101],"is":[12],"intractable":[13],"under":[14],"native":[15],"tokenization:":[16],"a":[17,57,88,112],"typical":[18],"utterance":[19],"yields":[20,87],"over":[21],"$150$":[22],"encoder":[23],"frames,":[24],"inflating":[25],"coalition":[27],"space":[28],"by":[29],"roughly":[30],"$10^{42}$":[31],"relative":[32],"to":[33,71],"text;":[34],"individual":[35],"frames":[37],"lack":[38],"standalone":[39],"meaning;":[40],"and":[41],"token":[42],"boundaries":[43],"that":[44,60,85,97],"bisect":[45],"phonetic":[46],"transitions":[47],"introduce":[48,52],"masking":[49],"artifacts.":[50],"We":[51],"Spectrogram-Guided":[53],"Phonetic":[54],"Alignment":[55],"(SGPA),":[56],"four-stage":[58],"pipeline":[59],"combines":[61],"Connectionist":[62],"Temporal":[63],"Classification":[64],"forced":[65],"alignment":[66],"with":[67,82],"spectral":[68],"boundary":[69],"refinement":[70],"produce":[72],"acoustically":[73],"stable,":[74],"word-aligned":[75],"segments.":[77],"Controlled":[78],"diagnostics":[79],"on":[80],"LFM2-Audio-1.5B":[81],"VoiceBench":[83],"show":[84],"SGPA":[86,98],"43$\\times$":[89],"reduction":[90],"in":[91],"model":[92],"evaluations.":[93],"Statistical":[94],"testing":[95],"confirms":[96],"significantly":[99],"alters":[100],"concentration":[102],"while":[103],"preserving":[104],"global":[106],"cumulative":[107],"profile,":[108],"establishing":[109],"it":[110],"as":[111],"feasibility-enabling":[113],"layer":[114],"for":[115],"explainability.":[117]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-02T00:00:00"}
