{"id":"https://openalex.org/W4417034838","doi":"https://doi.org/10.1111/coin.70159","title":"A Novel Multimodal Deep Learning Framework for Conversational <scp>AI</scp> : Integrating Vision, Text, and Speech With Knowledge\u2010Augmented Attention Mechanisms","display_name":"A Novel Multimodal Deep Learning Framework for Conversational <scp>AI</scp> : Integrating Vision, Text, and Speech With Knowledge\u2010Augmented Attention Mechanisms","publication_year":2025,"publication_date":"2025-12-01","ids":{"openalex":"https://openalex.org/W4417034838","doi":"https://doi.org/10.1111/coin.70159"},"language":"en","primary_location":{"id":"doi:10.1111/coin.70159","is_oa":false,"landing_page_url":"https://doi.org/10.1111/coin.70159","pdf_url":null,"source":{"id":"https://openalex.org/S56561474","display_name":"Computational Intelligence","issn_l":"0824-7935","issn":["0824-7935","1467-8640"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence","raw_type":"journal-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/A5048621738","display_name":"T. Vaikunta Pai","orcid":"https://orcid.org/0009-0001-2209-0938"},"institutions":[{"id":"https://openalex.org/I1333540553","display_name":"Nitte University","ror":"https://ror.org/029nydt37","country_code":"IN","type":"education","lineage":["https://openalex.org/I1333540553"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"T. Vaikunta Pai","raw_affiliation_strings":["Nitte (Deemed to be University) NMAM Institute of Technology (NMAMIT), Department of Information Science and Engineering  Nitte India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nitte (Deemed to be University) NMAM Institute of Technology (NMAMIT), Department of Information Science and Engineering  Nitte India","institution_ids":["https://openalex.org/I1333540553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053267803","display_name":"Mayur Mallya","orcid":null},"institutions":[{"id":"https://openalex.org/I2802287669","display_name":"University College for Women","ror":"https://ror.org/02ny12416","country_code":"IN","type":"education","lineage":["https://openalex.org/I2802287669"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. Manjula Mallya","raw_affiliation_strings":["Government First Grade College for Women  Mangalore India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Government First Grade College for Women  Mangalore India","institution_ids":["https://openalex.org/I2802287669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102651339","display_name":"Pramod Vishnu Naik","orcid":null},"institutions":[{"id":"https://openalex.org/I19008122","display_name":"Mangalore University","ror":"https://ror.org/05fep3933","country_code":"IN","type":"education","lineage":["https://openalex.org/I19008122"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pramod Vishnu Naik","raw_affiliation_strings":["Software Development Engineer, MResult Services Private Limited  Mangalore India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Software Development Engineer, MResult Services Private Limited  Mangalore India","institution_ids":["https://openalex.org/I19008122"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117494821","display_name":"Virgil Popescu","orcid":null},"institutions":[{"id":"https://openalex.org/I97553796","display_name":"University of Craiova","ror":"https://ror.org/03s251g81","country_code":"RO","type":"education","lineage":["https://openalex.org/I97553796"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Virgil Popescu","raw_affiliation_strings":["Faculty of Economics and Business Administration University of Craiova  Craiova Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Economics and Business Administration University of Craiova  Craiova Romania","institution_ids":["https://openalex.org/I97553796"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104167244","display_name":"Ramona Birau","orcid":"https://orcid.org/0009-0000-8405-410X"},"institutions":[{"id":"https://openalex.org/I28109999","display_name":"University of Medicine and Pharmacy of Craiova","ror":"https://ror.org/031d5vw30","country_code":"RO","type":"education","lineage":["https://openalex.org/I28109999"]},{"id":"https://openalex.org/I97553796","display_name":"University of Craiova","ror":"https://ror.org/03s251g81","country_code":"RO","type":"education","lineage":["https://openalex.org/I97553796"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Ramona Birau","raw_affiliation_strings":["\u201cEugeniu Carada\u201d Doctoral School of Economic Sciences University of Craiova  Craiova Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u201cEugeniu Carada\u201d Doctoral School of Economic Sciences University of Craiova  Craiova Romania","institution_ids":["https://openalex.org/I28109999","https://openalex.org/I97553796"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024890536","display_name":"Amir Karbassi Yazdi","orcid":"https://orcid.org/0000-0001-9436-5833"},"institutions":[{"id":"https://openalex.org/I185652977","display_name":"University of Tarapac\u00e1","ror":"https://ror.org/04xe01d27","country_code":"CL","type":"education","lineage":["https://openalex.org/I185652977"]}],"countries":["CL"],"is_corresponding":true,"raw_author_name":"Amir Karbassi Yazdi","raw_affiliation_strings":["Departamento de Ingenieria Industrial y de Sistemas, Facultad de Ingenieria Universidad de Tarapaca  Arica Chile"],"raw_orcid":"https://orcid.org/0000-0001-9436-5833","affiliations":[{"raw_affiliation_string":"Departamento de Ingenieria Industrial y de Sistemas, Facultad de Ingenieria Universidad de Tarapaca  Arica Chile","institution_ids":["https://openalex.org/I185652977"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5024890536"],"corresponding_institution_ids":["https://openalex.org/I185652977"],"apc_list":{"value":3450,"currency":"USD","value_usd":3450},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13878819,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"41","issue":"6","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.20999999344348907,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.20999999344348907,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.20489999651908875,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12128","display_name":"AI in Service Interactions","score":0.05719999969005585,"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/sarcasm","display_name":"Sarcasm","score":0.798799991607666},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5906000137329102},{"id":"https://openalex.org/keywords/fluency","display_name":"Fluency","score":0.5324000120162964},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.47519999742507935},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.4447999894618988},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.42890000343322754},{"id":"https://openalex.org/keywords/multimodality","display_name":"Multimodality","score":0.3917999863624573},{"id":"https://openalex.org/keywords/multimodal-learning","display_name":"Multimodal learning","score":0.3862999975681305}],"concepts":[{"id":"https://openalex.org/C2776207355","wikidata":"https://www.wikidata.org/wiki/Q191035","display_name":"Sarcasm","level":3,"score":0.798799991607666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.75},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.684499979019165},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5906000137329102},{"id":"https://openalex.org/C2777413886","wikidata":"https://www.wikidata.org/wiki/Q3276013","display_name":"Fluency","level":2,"score":0.5324000120162964},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.47519999742507935},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4447999894618988},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44359999895095825},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.42890000343322754},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.3917999863624573},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3903999924659729},{"id":"https://openalex.org/C2780660688","wikidata":"https://www.wikidata.org/wiki/Q25052564","display_name":"Multimodal learning","level":2,"score":0.3862999975681305},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.3544999957084656},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.349700003862381},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3357999920845032},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.33090001344680786},{"id":"https://openalex.org/C135641252","wikidata":"https://www.wikidata.org/wiki/Q738567","display_name":"Multimodal interaction","level":2,"score":0.3165000081062317},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3046000003814697},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3028999865055084},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.28630000352859497},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2535000145435333}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1111/coin.70159","is_oa":false,"landing_page_url":"https://doi.org/10.1111/coin.70159","pdf_url":null,"source":{"id":"https://openalex.org/S56561474","display_name":"Computational Intelligence","issn_l":"0824-7935","issn":["0824-7935","1467-8640"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W4297499129","https://openalex.org/W4306250392","https://openalex.org/W4308600730","https://openalex.org/W4321793515","https://openalex.org/W4327808327","https://openalex.org/W4367281761","https://openalex.org/W4379206896","https://openalex.org/W4384207713","https://openalex.org/W4386826611","https://openalex.org/W4387079109","https://openalex.org/W4392382321","https://openalex.org/W4399505004","https://openalex.org/W4402787732","https://openalex.org/W4405513150","https://openalex.org/W4407559183","https://openalex.org/W4407994672","https://openalex.org/W4413270193","https://openalex.org/W7077075962"],"related_works":[],"abstract_inverted_index":{"ABSTRACT":[0],"Existing":[1],"conversational":[2,153],"AI":[3],"models":[4,116],"lack":[5],"effective":[6],"multimodal":[7,22,139,152],"fusion,":[8],"leading":[9],"to":[10,114],"poor":[11],"contextual":[12,143],"understanding":[13],"and":[14,30,37,39,42,55,82,91,106,120,127,142,167],"factual":[15,111],"inconsistencies.":[16],"This":[17,145],"research":[18,146],"proposes":[19],"a":[20,95,107],"novel":[21],"deep":[23],"learning":[24,75],"framework":[25,137],"that":[26],"integrates":[27],"vision":[28],"(CNNs":[29],"Vision":[31],"Transformers),":[32],"text":[33],"(Transformers":[34],"like":[35,117],"BERT":[36],"GPT\u20104),":[38],"speech":[40],"(RNNs":[41],"Self\u2010Supervised":[43],"Learning)":[44],"using":[45,124],"an":[46],"attention\u2010based":[47],"fusion":[48],"mechanism.":[49],"The":[50],"model":[51],"enhances":[52],"sarcasm":[53,103],"detection":[54,104],"sentiment":[56,140],"analysis":[57,126],"through":[58],"contrastive":[59],"learning,":[60],"while":[61],"graph":[62],"neural":[63],"networks":[64],"(GNNs)":[65],"ensure":[66],"knowledge\u2010augmented":[67],"reasoning,":[68],"reducing":[69],"hallucinations":[70],"in":[71,98,110,138,158],"AI\u2010generated":[72],"responses.":[73],"Reinforcement":[74],"optimizes":[76],"dialogue":[77],"generation":[78],"for":[79,150],"more":[80],"natural":[81],"contextually":[83],"accurate":[84],"interactions.":[85],"Experimental":[86],"evaluations":[87],"on":[88],"MELD,":[89],"CMU\u2010MOSEI,":[90],"AVSD":[92],"datasets":[93],"demonstrate":[94],"9%\u201312%":[96],"improvement":[97],"classification":[99,141],"accuracy,":[100],"15%":[101],"higher":[102],"efficiency,":[105],"23%":[108],"reduction":[109],"inconsistencies":[112],"compared":[113],"state\u2010of\u2010the\u2010art":[115],"GPT\u20104,":[118],"CLIP,":[119],"Flamingo.":[121],"Extensive":[122],"benchmarking":[123],"precision\u2010recall":[125],"response":[128],"fluency":[129],"metrics":[130],"validates":[131],"the":[132,135,148],"robustness":[133],"of":[134],"proposed":[136],"alignment.":[144],"lays":[147],"foundation":[149],"next\u2010generation":[151],"AI,":[154],"with":[155],"potential":[156],"applications":[157],"real\u2010world":[159],"domains":[160],"such":[161],"as":[162],"virtual":[163],"assistants,":[164],"healthcare":[165],"diagnostics,":[166],"financial":[168],"intelligence":[169],"systems.":[170]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-12-05T00:00:00"}
