{"id":"https://openalex.org/W2083162014","doi":"https://doi.org/10.1109/ncc.2015.7084926","title":"Experimental studies on effect of speaking mode on spoken term detection","display_name":"Experimental studies on effect of speaking mode on spoken term detection","publication_year":2015,"publication_date":"2015-02-01","ids":{"openalex":"https://openalex.org/W2083162014","doi":"https://doi.org/10.1109/ncc.2015.7084926","mag":"2083162014"},"language":"en","primary_location":{"id":"doi:10.1109/ncc.2015.7084926","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc.2015.7084926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Twenty First National Conference on Communications (NCC)","raw_type":"proceedings-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/A5056957234","display_name":"Kallola Rout","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Kallola Rout","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, India","Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, India 502205"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]},{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, India 502205","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073024001","display_name":"Pappagari Raghavendra Reddy","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pappagari Raghavendra Reddy","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, India","Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, India 502205"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]},{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, India 502205","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067617924","display_name":"K. Sri Rama Murty","orcid":"https://orcid.org/0000-0002-6355-5287"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K Sri Rama Murty","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, India","Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, India 502205"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]},{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, India 502205","institution_ids":["https://openalex.org/I65181880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056957234"],"corresponding_institution_ids":["https://openalex.org/I65181880"],"apc_list":null,"apc_paid":null,"fwci":0.2872,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55433769,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.998199999332428,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.998199999332428,"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":0.9958999752998352,"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/T11309","display_name":"Music and Audio Processing","score":0.9955999851226807,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.7600123286247253},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.74202960729599},{"id":"https://openalex.org/keywords/telugu","display_name":"Telugu","score":0.65555739402771},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.635384202003479},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.610069215297699},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5874966382980347},{"id":"https://openalex.org/keywords/subsequence","display_name":"Subsequence","score":0.5134085416793823},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.4936031103134155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45570123195648193},{"id":"https://openalex.org/keywords/significant-difference","display_name":"Significant difference","score":0.42254048585891724},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.38651421666145325},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32664787769317627},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10563799738883972},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06892868876457214}],"concepts":[{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.7600123286247253},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.74202960729599},{"id":"https://openalex.org/C2778756302","wikidata":"https://www.wikidata.org/wiki/Q8097","display_name":"Telugu","level":2,"score":0.65555739402771},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.635384202003479},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.610069215297699},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5874966382980347},{"id":"https://openalex.org/C137877099","wikidata":"https://www.wikidata.org/wiki/Q1332977","display_name":"Subsequence","level":3,"score":0.5134085416793823},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.4936031103134155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45570123195648193},{"id":"https://openalex.org/C3018023364","wikidata":"https://www.wikidata.org/wiki/Q425265","display_name":"Significant difference","level":2,"score":0.42254048585891724},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38651421666145325},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32664787769317627},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10563799738883972},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06892868876457214},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ncc.2015.7084926","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc.2015.7084926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Twenty First National Conference on Communications (NCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W114193738","https://openalex.org/W170732776","https://openalex.org/W1920779509","https://openalex.org/W1963706776","https://openalex.org/W1975126845","https://openalex.org/W2015688877","https://openalex.org/W2072054026","https://openalex.org/W2099111195","https://openalex.org/W2107076535","https://openalex.org/W2110589736","https://openalex.org/W2124776405","https://openalex.org/W2126203737","https://openalex.org/W2128160875","https://openalex.org/W2146528014","https://openalex.org/W2155368638","https://openalex.org/W2171019095","https://openalex.org/W2186490579","https://openalex.org/W2210387432","https://openalex.org/W6604666349","https://openalex.org/W6640210604","https://openalex.org/W6674851815","https://openalex.org/W6678851513"],"related_works":["https://openalex.org/W4323529320","https://openalex.org/W2554075302","https://openalex.org/W2407016153","https://openalex.org/W2401021740","https://openalex.org/W1964543066","https://openalex.org/W1591808084","https://openalex.org/W2912005565","https://openalex.org/W2470694417","https://openalex.org/W1878264211","https://openalex.org/W2810872865"],"abstract_inverted_index":{"The":[0,19,88],"objective":[1],"of":[2,10,40,62,77,92,131],"this":[3],"paper":[4],"is":[5,66,106,112,124,135,141],"to":[6,25,152],"study":[7],"the":[8,93],"effect":[9],"speaking":[11],"mode":[12],"on":[13,74,114],"spoken":[14],"term":[15],"detection":[16],"(STD)":[17],"system.":[18],"experiments":[20],"are":[21],"conducted":[22],"with":[23,143],"respect":[24],"query":[26,43,78,132,144],"words":[27,33,44,145,153],"recorded":[28,127,154],"in":[29,42,90,120,155],"isolated":[30,156],"manner":[31],"and":[32,79,103,128],"cut":[34,146],"out":[35,147],"from":[36,148],"continuous":[37,149],"speech.":[38],"Durations":[39],"phonemes":[41],"greatly":[45],"vary":[46],"between":[47],"these":[48],"two":[49],"modes.":[50],"Hence":[51],"pattern":[52],"matching":[53],"stage":[54],"plays":[55],"a":[56],"crucial":[57],"role":[58],"which":[59],"takes":[60],"care":[61],"temporal":[63,166],"variations.":[64,167],"Matching":[65],"done":[67],"using":[68],"Subsequence":[69],"dynamic":[70],"time":[71],"warping":[72],"(DTW)":[73],"posterior":[75],"features":[76],"reference":[80],"utterances,":[81],"obtained":[82],"by":[83],"training":[84],"Multilayer":[85],"perceptron":[86],"(MLP).":[87],"difference":[89,119,160],"performance":[91,123,140,159],"STD":[94,110,121,138],"system":[95,111,122,139],"for":[96,126,164],"different":[97],"phoneme":[98],"groupings":[99],"(45,":[100],"25,":[101],"15":[102],"6":[104],"classes)":[105],"also":[107],"analyzed.":[108],"Our":[109],"tested":[113],"Telugu":[115],"broadcast":[116],"news.":[117],"Major":[118],"observed":[125,136],"cut-out":[129],"types":[130],"words.":[133],"It":[134],"that":[137],"better":[142],"speech":[150],"compared":[151],"manner.":[157],"This":[158],"can":[161],"be":[162],"accounted":[163],"large":[165]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
