{"id":"https://openalex.org/W6963235417","doi":"https://doi.org/10.21227/ft5v-xp41","title":"AIR-RS-DB: All India Radio Read and Spontaneous Speech Data Base","display_name":"AIR-RS-DB: All India Radio Read and Spontaneous Speech Data Base","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W6963235417","doi":"https://doi.org/10.21227/ft5v-xp41"},"language":"en","primary_location":{"id":"doi:10.21227/ft5v-xp41","is_oa":true,"landing_page_url":"https://doi.org/10.21227/ft5v-xp41","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/ft5v-xp41","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Kopparapu, Sunil Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104194","display_name":"Tennessee Cancer Specialists","ror":"https://ror.org/01krbfc31","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210104194"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kopparapu, Sunil Kumar","raw_affiliation_strings":["TCS Research"],"affiliations":[{"raw_affiliation_string":"TCS Research","institution_ids":["https://openalex.org/I4210104194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210104194"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"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":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/column","display_name":"Column (typography)","score":0.7355999946594238},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5612000226974487},{"id":"https://openalex.org/keywords/audio-mining","display_name":"Audio mining","score":0.5489000082015991},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5293999910354614},{"id":"https://openalex.org/keywords/readability","display_name":"Readability","score":0.4399000108242035},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.4293000102043152},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.3847000002861023},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.3140999972820282}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7440999746322632},{"id":"https://openalex.org/C2780551164","wikidata":"https://www.wikidata.org/wiki/Q2306599","display_name":"Column (typography)","level":3,"score":0.7355999946594238},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.65829998254776},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5612000226974487},{"id":"https://openalex.org/C157968479","wikidata":"https://www.wikidata.org/wiki/Q3079876","display_name":"Audio mining","level":4,"score":0.5489000082015991},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5293999910354614},{"id":"https://openalex.org/C2778143727","wikidata":"https://www.wikidata.org/wiki/Q1820650","display_name":"Readability","level":2,"score":0.4399000108242035},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.4293000102043152},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3847000002861023},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3756999969482422},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3188000023365021},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.3140999972820282},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.2985000014305115},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2892000079154968},{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.2838999927043915},{"id":"https://openalex.org/C59656382","wikidata":"https://www.wikidata.org/wiki/Q191536","display_name":"Conjunction (astronomy)","level":2,"score":0.2838999927043915},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.27900001406669617},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.2766999900341034},{"id":"https://openalex.org/C171730128","wikidata":"https://www.wikidata.org/wiki/Q5227290","display_name":"Data file","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.25859999656677246},{"id":"https://openalex.org/C155635449","wikidata":"https://www.wikidata.org/wiki/Q4674699","display_name":"Acoustic model","level":3,"score":0.25690001249313354},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2538999915122986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/ft5v-xp41","is_oa":true,"landing_page_url":"https://doi.org/10.21227/ft5v-xp41","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"dataset"}],"best_oa_location":{"id":"doi:10.21227/ft5v-xp41","is_oa":true,"landing_page_url":"https://doi.org/10.21227/ft5v-xp41","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"dataset"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6219562888145447,"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":{"AIR-RS-DB:":[0],"A":[1],"dataset":[2],"for":[3,153,158],"classifying":[4],"Spontaneous":[5,81,159],"and":[6,25,29,36,48,80,132,156],"Read":[7,79],"Speech A":[8],"set":[9],"of":[10,63,104,114],"1028":[11,50,65],"audio":[12,51,66,106,116],"files":[13,18,67],"generated":[14],"from":[15,20],"7":[16],"mp3":[17],"downloaded":[19],"All":[21],"India":[22],"Radio.":[23],"https://newsonair.gov.in/":[24],"converted":[26],"into":[27],"wav ":[28],"then":[30],"speaker":[31],"diarized":[32],"is  using":[33],"https://huggingface.co/pyannote/speaker-diarization":[34],"(pyannote/speaker-diarization@2022072,model)":[35],"we":[37],"remove":[38],"all":[39],"the":[40,69,102,105,112,115,122,133,143,150],"speech":[41,160],"segments":[42],"which":[43],"are":[44,53],"below":[45],"2":[46],"seconds":[47],"derive":[49],"files.These":[52],"available":[54],"as":[55,125],"air-rs-db.zip":[56],"(which":[57],"can":[58],"be":[59],"downloaded) The":[60],"automatic":[61],"annotation":[62,151],"these":[64],"using":[68,142],"technique":[70],"mentioned":[71],"in":[72,85,127,130],"https://arxiv.org/abs/2306.08012v1":[73],"(A":[74],"Novel":[75],"Scheme":[76],"to":[77],"classify":[78],"Speech)":[82],"is":[83,101,111,121,136,161],"recorded":[84],"air_rs_db_auto-annotation.csv (downloadable).This":[86],"file":[87],"contains":[88],"4":[89],"columns":[90],"separated":[91],"by":[92],"\":\",":[93],"namely,":[94],"audio:dur:Readability":[95],"Score:Threshold":[96],"eq":[97],"1.75.The":[98],"first":[99],"column":[100,110,120,135],"name":[103],"file.":[107,117],"The":[108,118],"second":[109],"duration":[113],"third":[119],"readability":[123],"score":[124],"defined":[126],"(equation":[128],"(3)":[129],"https://arxiv.org/pdf/2306.08012v1.pdf)":[131],"fourth":[134],"a":[137],"label":[138],"\"R\"":[139,152],"or":[140],"\"S\"":[141,157],"threshold":[144],"\\tau_{cal":[145],"R}":[146],"=":[147],"1.75.Note":[148],"that":[149],"read":[154],"speach":[155],"automatically":[162],"generated.":[163]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}