{"id":"https://openalex.org/W4293793243","doi":"https://doi.org/10.1145/3517195","title":"BERIS: An mBERT-based Emotion Recognition Algorithm from Indian Speech","display_name":"BERIS: An mBERT-based Emotion Recognition Algorithm from Indian Speech","publication_year":2022,"publication_date":"2022-03-23","ids":{"openalex":"https://openalex.org/W4293793243","doi":"https://doi.org/10.1145/3517195"},"language":"en","primary_location":{"id":"doi:10.1145/3517195","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3517195","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","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/A5069309897","display_name":"Pramod Mehra","orcid":"https://orcid.org/0000-0003-2329-2547"},"institutions":[{"id":"https://openalex.org/I201750527","display_name":"Uttarakhand Technical University","ror":"https://ror.org/03ms8m606","country_code":"IN","type":"education","lineage":["https://openalex.org/I201750527"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Pramod Mehra","raw_affiliation_strings":["Uttarakhand Technical University, Dehradun, Uttarakhand, India"],"raw_orcid":"https://orcid.org/0000-0003-2329-2547","affiliations":[{"raw_affiliation_string":"Uttarakhand Technical University, Dehradun, Uttarakhand, India","institution_ids":["https://openalex.org/I201750527"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101487393","display_name":"Shashi Kant Verma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shashi Kant Verma","raw_affiliation_strings":["G. B. Pant Engineering College, Pauri Garhwal, Uttarakhand, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"G. B. Pant Engineering College, Pauri Garhwal, Uttarakhand, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069309897"],"corresponding_institution_ids":["https://openalex.org/I201750527"],"apc_list":null,"apc_paid":null,"fwci":0.2976,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.50758839,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"21","issue":"5","first_page":"1","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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":0.9998000264167786,"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/T11309","display_name":"Music and Audio Processing","score":0.9997000098228455,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6902045607566833},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.5885799527168274},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5634980797767639},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.49008262157440186},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47774022817611694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.441975474357605},{"id":"https://openalex.org/keywords/intellect","display_name":"Intellect","score":0.4299827814102173},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.42877334356307983},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4027274549007416},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3502633571624756},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.342027485370636},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09959346055984497}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6902045607566833},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.5885799527168274},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5634980797767639},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.49008262157440186},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47774022817611694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.441975474357605},{"id":"https://openalex.org/C2780146897","wikidata":"https://www.wikidata.org/wiki/Q353284","display_name":"Intellect","level":2,"score":0.4299827814102173},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.42877334356307983},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4027274549007416},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3502633571624756},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.342027485370636},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09959346055984497},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3517195","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3517195","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1557463023","https://openalex.org/W2009674825","https://openalex.org/W2035043913","https://openalex.org/W2059372649","https://openalex.org/W2090185148","https://openalex.org/W2143033549","https://openalex.org/W2184549941","https://openalex.org/W2244035659","https://openalex.org/W2263621383","https://openalex.org/W2366782643","https://openalex.org/W2474922233","https://openalex.org/W2507313820","https://openalex.org/W2533907642","https://openalex.org/W2548398025","https://openalex.org/W2552991842","https://openalex.org/W2557311972","https://openalex.org/W2558818968","https://openalex.org/W2765860599","https://openalex.org/W2771809392","https://openalex.org/W2787705419","https://openalex.org/W2797791803","https://openalex.org/W2889169007","https://openalex.org/W2889275521","https://openalex.org/W2904132449","https://openalex.org/W2916370975","https://openalex.org/W2962866211","https://openalex.org/W2964268168","https://openalex.org/W2968228919","https://openalex.org/W2969437910","https://openalex.org/W2998157715","https://openalex.org/W3005323621","https://openalex.org/W3008839109","https://openalex.org/W3009120439","https://openalex.org/W3013836620","https://openalex.org/W3017470775","https://openalex.org/W3022013598","https://openalex.org/W3026350704","https://openalex.org/W3031505850","https://openalex.org/W3032987503","https://openalex.org/W3035927493","https://openalex.org/W3039736817","https://openalex.org/W3044028313","https://openalex.org/W3044696186","https://openalex.org/W3045669112","https://openalex.org/W3081291520","https://openalex.org/W3081360585","https://openalex.org/W3089365109","https://openalex.org/W3090138393","https://openalex.org/W3090337440","https://openalex.org/W3092210029","https://openalex.org/W3093767036","https://openalex.org/W3095850336","https://openalex.org/W3099825973","https://openalex.org/W3108158635","https://openalex.org/W3110453189","https://openalex.org/W3112347780","https://openalex.org/W3210663432"],"related_works":["https://openalex.org/W2038216521","https://openalex.org/W2736574136","https://openalex.org/W2565286512","https://openalex.org/W2399955410","https://openalex.org/W3126677997","https://openalex.org/W3129283347","https://openalex.org/W2097377227","https://openalex.org/W2933782699","https://openalex.org/W4317383455","https://openalex.org/W2565238693"],"abstract_inverted_index":{"Emotions,":[0],"the":[1,5,25,33,78,95,108,123,144,150,163,181,186,195],"building":[2],"blocks":[3],"of":[4,42,75,80,147,157],"human":[6,28],"intellect,":[7],"play":[8],"a":[9,17,54,68,72,140,172],"vital":[10],"role":[11],"in":[12,53,62,139],"Artificial":[13],"Intelligence":[14],"(AI).":[15],"For":[16,119],"robust":[18],"AI-based":[19],"machine,":[20],"it":[21,44],"is":[22,45,60],"important":[23],"that":[24,50,194],"machine":[26],"understands":[27],"emotions.":[29],"COVID-19":[30],"has":[31,67],"introduced":[32],"world":[34],"to":[35,47,154,170],"no-touch":[36],"intelligent":[37],"systems.":[38],"With":[39],"an":[40,88],"influx":[41],"users,":[43],"critical":[46],"create":[48],"devices":[49],"can":[51,177],"communicate":[52],"local":[55],"dialect.":[56],"A":[57],"multilingual":[58,81],"system":[59],"required":[61],"countries":[63],"like":[64],"India,":[65],"which":[66],"large":[69],"population":[70],"and":[71,103,128,132,167,190],"diverse":[73],"range":[74],"languages.":[76],"Given":[77],"importance":[79],"emotion":[82,91],"recognition,":[83],"this":[84],"research":[85],"introduces":[86],"BERIS,":[87],"Indian":[89,96],"language":[90],"detection":[92],"system.":[93],"From":[94],"sound":[97],"recording,":[98],"BERIS":[99,121],"estimates":[100],"both":[101],"acoustic":[102],"textual":[104,109],"characteristics.":[105],"To":[106],"extract":[107],"features,":[110],"we":[111,161],"used":[112],"Multilingual":[113],"Bidirectional":[114],"Encoder":[115],"Representations":[116],"from":[117,180],"Transformers.":[118],"acoustics,":[120],"computes":[122],"Mel":[124],"Frequency":[125],"Cepstral":[126],"Coefficients":[127],"Linear":[129],"Prediction":[130],"coefficients,":[131],"Pitch.":[133],"The":[134,175],"features":[135],"extracted":[136],"are":[137,146,152],"merged":[138],"linear":[141],"array.":[142],"Since":[143],"dialogues":[145],"varied":[148],"lengths,":[149],"data":[151,164],"normalized":[153],"have":[155],"arrays":[156],"equal":[158],"length.":[159],"Finally,":[160],"split":[162],"into":[165],"training":[166],"validated":[168],"set":[169],"construct":[171],"predictive":[173],"model.":[174],"model":[176],"predict":[178],"emotions":[179],"new":[182],"input.":[183],"On":[184],"all":[185],"datasets":[187],"presented,":[188],"quantitative":[189],"qualitative":[191],"evaluations":[192],"show":[193],"proposed":[196],"algorithm":[197],"outperforms":[198],"state-of-the-art":[199],"approaches.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}