{"id":"https://openalex.org/W7160335670","doi":"https://doi.org/10.48550/arxiv.2605.02715","title":"Dimensionality-Aware Anomaly Detection in Learned Representations of Self-Supervised Speech Models","display_name":"Dimensionality-Aware Anomaly Detection in Learned Representations of Self-Supervised Speech Models","publication_year":2026,"publication_date":"2026-05-04","ids":{"openalex":"https://openalex.org/W7160335670","doi":"https://doi.org/10.48550/arxiv.2605.02715"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.02715","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.02715","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2605.02715","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135331791","display_name":"Sandra Arcos-Holzinger","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arcos-Holzinger, Sandra","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135355733","display_name":"Sarah M. Erfani","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Erfani, Sarah M.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135359776","display_name":"JAMES P. BAILEY","orcid":"https://orcid.org/0000-0002-7207-512X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bailey, James","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135409617","display_name":"Sanjeev Khudanpur","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khudanpur, Sanjeev","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/T10201","display_name":"Speech Recognition and Synthesis","score":0.4083999991416931,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.4083999991416931,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.13169999420642853,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.06210000067949295,"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/representation","display_name":"Representation (politics)","score":0.5788999795913696},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5738999843597412},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4880000054836273},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.46540001034736633},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.4645000100135803},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4311000108718872},{"id":"https://openalex.org/keywords/background-noise","display_name":"Background noise","score":0.3959999978542328},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.3937999904155731}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6115999817848206},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5788999795913696},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5738999843597412},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4950000047683716},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4880000054836273},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4855000078678131},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.46540001034736633},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.4645000100135803},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4311000108718872},{"id":"https://openalex.org/C100675267","wikidata":"https://www.wikidata.org/wiki/Q1371624","display_name":"Background noise","level":2,"score":0.3959999978542328},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.3937999904155731},{"id":"https://openalex.org/C2776207758","wikidata":"https://www.wikidata.org/wiki/Q5303302","display_name":"Downstream (manufacturing)","level":2,"score":0.38989999890327454},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.3856000006198883},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.375900000333786},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.31029999256134033},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.3012999892234802},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3001999855041504},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.272599995136261},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.2721000015735626},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.26579999923706055},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2563999891281128}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.02715","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.02715","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.02715","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.02715","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5336117744445801,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Self-supervised":[0],"speech":[1,51],"models":[2],"(S3Ms)":[3],"achieve":[4],"strong":[5],"downstream":[6,49],"performance,":[7],"yet":[8],"their":[9],"learned":[10],"representations":[11,70],"remain":[12],"poorly":[13],"understood":[14],"under":[15],"natural":[16],"and":[17,44,73,89,116],"adversarial":[18,102],"perturbations.":[19],"Prior":[20],"studies":[21],"rely":[22],"on":[23],"representation":[24],"similarity":[25],"or":[26],"global":[27],"dimensionality,":[28],"offering":[29],"limited":[30],"visibility":[31],"into":[32],"local":[33,42],"geometric":[34],"changes.":[35],"We":[36,76,108],"ask:":[37],"how":[38],"do":[39,45],"perturbations":[40,88],"deform":[41],"geometry,":[43],"these":[46],"shifts":[47],"track":[48],"automatic":[50],"recognition":[52],"(ASR)":[53],"degradation?":[54],"To":[55],"address":[56],"this,":[57],"we":[58],"present":[59],"GRIDS,":[60],"a":[61],"framework":[62],"using":[63],"Local":[64],"Intrinsic":[65],"Dimensionality":[66],"(LID)":[67],"across":[68],"layer-wise":[69,118],"in":[71,132],"WavLM":[72],"wav2vec":[74],"2.0.":[75],"find":[77],"that":[78,117],"LID":[79,106,110,119],"increases":[80],"for":[81],"all":[82],"low":[83],"signal-to":[84],"noise":[85,95],"ratio":[86],"(SNR)":[87],"diverges":[90],"at":[91],"high":[92],"SNR:":[93],"benign":[94],"converges":[96],"toward":[97],"the":[98,127],"clean":[99],"profile,":[100],"while":[101],"inputs":[103],"retain":[104],"early-layer":[105],"elevation.":[107],"show":[109],"elevation":[111],"co-occurs":[112],"with":[113],"increased":[114],"WER,":[115],"features":[120],"enable":[121],"anomaly":[122],"detection":[123],"(AUROC":[124],"0.78-1.00),":[125],"opening":[126],"door":[128],"to":[129],"transcript-free":[130],"monitoring":[131],"S3Ms.":[133]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-06T00:00:00"}