{"id":"https://openalex.org/W7163644853","doi":"https://doi.org/10.48550/arxiv.2606.05763","title":"M2S-AVSR: Modality-aware Multi-view Self-supervised Representation for Robust Audio-Visual Speech Recognition","display_name":"M2S-AVSR: Modality-aware Multi-view Self-supervised Representation for Robust Audio-Visual Speech Recognition","publication_year":2026,"publication_date":"2026-06-04","ids":{"openalex":"https://openalex.org/W7163644853","doi":"https://doi.org/10.48550/arxiv.2606.05763"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.05763","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.05763","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.2606.05763","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137996988","display_name":"Fei Su","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Su, Fei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113355139","display_name":"Cancan Li","orcid":"https://orcid.org/0009-0002-2537-6293"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Cancan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137970408","display_name":"Juan Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Ming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137927977","display_name":"Ming Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Juan","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/T10860","display_name":"Speech and Audio Processing","score":0.9947999715805054,"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":0.9947999715805054,"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":0.0020000000949949026,"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/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.0008999999845400453,"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/robustness","display_name":"Robustness (evolution)","score":0.6564000248908997},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5299000144004822},{"id":"https://openalex.org/keywords/mandarin-chinese","display_name":"Mandarin Chinese","score":0.4814999997615814},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.4607999920845032},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.4124999940395355},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4074000120162964},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.357699990272522},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.3564999997615814}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7922000288963318},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7286999821662903},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6564000248908997},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5299000144004822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5023000240325928},{"id":"https://openalex.org/C138954614","wikidata":"https://www.wikidata.org/wiki/Q9192","display_name":"Mandarin Chinese","level":2,"score":0.4814999997615814},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.4607999920845032},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.4124999940395355},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4074000120162964},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.357699990272522},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3564999997615814},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.3504999876022339},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.3325999975204468},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.3190999925136566},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3154999911785126},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3034999966621399},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2840000092983246},{"id":"https://openalex.org/C2776230583","wikidata":"https://www.wikidata.org/wiki/Q1322198","display_name":"Spoken language","level":2,"score":0.28360000252723694},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2773999869823456},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.2678999900817871},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.26510000228881836},{"id":"https://openalex.org/C54953205","wikidata":"https://www.wikidata.org/wiki/Q4142201","display_name":"Speech analytics","level":4,"score":0.251800000667572}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.05763","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.05763","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.2606.05763","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.05763","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Audio-Visual":[0,48],"Speech":[1,49],"Recognition":[2,50],"(AVSR)":[3],"enhances":[4],"speech":[5,64,111,183],"recognition":[6,112],"robustness":[7],"by":[8],"leveraging":[9],"visual":[10,24,63,87,145],"cues,":[11],"while":[12],"real-world":[13,106],"scenarios":[14],"remain":[15],"challenging":[16,130],"due":[17],"to":[18,60,80,137],"viewpoint":[19,142],"variation,":[20],"audio":[21],"distortion,":[22],"and":[23,30,77,108,119,144,173,184],"occlusion,":[25],"which":[26],"degrade":[27],"modality":[28,75],"quality":[29,76],"increase":[31],"audio-visual":[32,102],"asynchrony.":[33],"In":[34,92],"this":[35],"paper,":[36],"we":[37,53,67,94],"propose":[38],"a":[39,55,69,97,110],"novel":[40],"Modality-aware":[41],"Multi-view":[42],"Self-supervised":[43],"representation":[44,57],"framework":[45],"for":[46,178],"robust":[47,182],"(M2S-AVSR).":[51],"First,":[52],"introduce":[54],"multi-view":[56,100],"learning":[58],"encoder":[59],"learn":[61],"view-invariant":[62],"representations.":[65],"Next,":[66],"employ":[68],"modality-aware":[70,83],"module":[71],"that":[72],"explicitly":[73],"models":[74],"cross-modal":[78],"synchrony":[79],"perform":[81],"fine-grained":[82,86],"fusion,":[84],"enabling":[85],"information":[88],"injection":[89],"during":[90],"decoding.":[91],"addition,":[93],"release":[95],"AISHELL8-RealScene,":[96,161],"public":[98],"multi-scenario,":[99],"conversational":[101],"dataset":[103,174],"recorded":[104],"in":[105,167],"environments,":[107],"establish":[109],"benchmark":[113],"on":[114,117,155,181],"it.":[115],"Experiments":[116],"English":[118],"Mandarin":[120],"benchmarks":[121],"demonstrate":[122],"the":[123,126,156,164],"effectiveness":[124],"of":[125],"proposed":[127,171],"method":[128,149,172],"under":[129,141,187],"conditions.":[131,189],"On":[132,160],"LRS3,":[133],"M2S-AVSR":[134],"achieves":[135,151,163],"up":[136],"29.4%":[138],"relative":[139],"improvement":[140],"perturbation":[143],"degradation":[146],"settings.":[147],"Our":[148],"also":[150],"new":[152],"state-of-the-art":[153],"performance":[154],"MISP2021-AVSR":[157],"test":[158],"set.":[159],"it":[162],"best":[165],"result":[166],"outdoor":[168],"scenes.":[169],"The":[170],"provide":[175],"useful":[176],"support":[177],"future":[179],"research":[180],"multimodal":[185],"tasks":[186],"realistic":[188]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-06T00:00:00"}