{"id":"https://openalex.org/W2994685701","doi":"https://doi.org/10.1109/tencon.2019.8929505","title":"Detection of vowels in continuous speech using variation of short-term magnitude spectra","display_name":"Detection of vowels in continuous speech using variation of short-term magnitude spectra","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2994685701","doi":"https://doi.org/10.1109/tencon.2019.8929505","mag":"2994685701"},"language":"en","primary_location":{"id":"doi:10.1109/tencon.2019.8929505","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2019.8929505","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON)","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/A5069770009","display_name":"Sarmila Garnaik","orcid":null},"institutions":[{"id":"https://openalex.org/I185065464","display_name":"Veer Surendra Sai University of Technology","ror":"https://ror.org/02yghbg68","country_code":"IN","type":"education","lineage":["https://openalex.org/I185065464"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sarmila Garnaik","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Veer Surendra Sai University of Technology, Odisha, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Veer Surendra Sai University of Technology, Odisha, India","institution_ids":["https://openalex.org/I185065464"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065254646","display_name":"Nagapuri Srinivas","orcid":"https://orcid.org/0000-0003-0131-5517"},"institutions":[{"id":"https://openalex.org/I11793825","display_name":"National Institute of Technology Patna","ror":"https://ror.org/056wyhh33","country_code":"IN","type":"education","lineage":["https://openalex.org/I11793825","https://openalex.org/I4210152752"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nagapuri Srinivas","raw_affiliation_strings":["Department of Electronics and Communication Engineering, National Institute of Technology, Patna, Bihar, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, National Institute of Technology, Patna, Bihar, India","institution_ids":["https://openalex.org/I11793825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038771729","display_name":"Gayadhar Pradhan","orcid":"https://orcid.org/0000-0001-7385-6684"},"institutions":[{"id":"https://openalex.org/I11793825","display_name":"National Institute of Technology Patna","ror":"https://ror.org/056wyhh33","country_code":"IN","type":"education","lineage":["https://openalex.org/I11793825","https://openalex.org/I4210152752"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gayadhar Pradhan","raw_affiliation_strings":["Department of Electronics and Communication Engineering, National Institute of Technology, Patna, Bihar, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, National Institute of Technology, Patna, Bihar, India","institution_ids":["https://openalex.org/I11793825"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071628641","display_name":"Kabiraj Sethi","orcid":"https://orcid.org/0000-0002-6400-1729"},"institutions":[{"id":"https://openalex.org/I185065464","display_name":"Veer Surendra Sai University of Technology","ror":"https://ror.org/02yghbg68","country_code":"IN","type":"education","lineage":["https://openalex.org/I185065464"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kabiraj Sethi","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Veer Surendra Sai University of Technology, Odisha, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Veer Surendra Sai University of Technology, Odisha, India","institution_ids":["https://openalex.org/I185065464"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069770009"],"corresponding_institution_ids":["https://openalex.org/I185065464"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14852093,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1313","last_page":"1318"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9988999962806702,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9857000112533569,"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/formant","display_name":"Formant","score":0.7105768918991089},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5692667365074158},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5672072768211365},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5156737565994263},{"id":"https://openalex.org/keywords/scalar","display_name":"Scalar (mathematics)","score":0.4839820861816406},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48170095682144165},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.4696946144104004},{"id":"https://openalex.org/keywords/vowel","display_name":"Vowel","score":0.42938894033432007},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3637733459472656},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.3386939764022827},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3333313465118408},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3054012954235077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2239866554737091},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1919441819190979}],"concepts":[{"id":"https://openalex.org/C158215666","wikidata":"https://www.wikidata.org/wiki/Q1414685","display_name":"Formant","level":3,"score":0.7105768918991089},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5692667365074158},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5672072768211365},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5156737565994263},{"id":"https://openalex.org/C57691317","wikidata":"https://www.wikidata.org/wiki/Q1289248","display_name":"Scalar (mathematics)","level":2,"score":0.4839820861816406},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48170095682144165},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.4696946144104004},{"id":"https://openalex.org/C2779581591","wikidata":"https://www.wikidata.org/wiki/Q36244","display_name":"Vowel","level":2,"score":0.42938894033432007},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3637733459472656},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3386939764022827},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3333313465118408},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3054012954235077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2239866554737091},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1919441819190979},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon.2019.8929505","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2019.8929505","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W145162739","https://openalex.org/W1974387177","https://openalex.org/W1977616883","https://openalex.org/W1980931161","https://openalex.org/W1986501036","https://openalex.org/W2000982976","https://openalex.org/W2001105330","https://openalex.org/W2030879331","https://openalex.org/W2034766634","https://openalex.org/W2059980860","https://openalex.org/W2112844139","https://openalex.org/W2143303499","https://openalex.org/W2153954176","https://openalex.org/W2168201882","https://openalex.org/W2514707631","https://openalex.org/W2518161968","https://openalex.org/W2746756894","https://openalex.org/W2750393895","https://openalex.org/W2796814519","https://openalex.org/W2885636824","https://openalex.org/W2888954311","https://openalex.org/W2898524651","https://openalex.org/W2909444783","https://openalex.org/W2913504705","https://openalex.org/W2934289708","https://openalex.org/W4245838404"],"related_works":["https://openalex.org/W2028715205","https://openalex.org/W2344358524","https://openalex.org/W2060888333","https://openalex.org/W2053092242","https://openalex.org/W2028342517","https://openalex.org/W3042758298","https://openalex.org/W2050311283","https://openalex.org/W2942435052","https://openalex.org/W3169184738","https://openalex.org/W2007544974"],"abstract_inverted_index":{"The":[0,53,70,100],"prominent":[1],"formants":[2],"are":[3],"observed":[4],"in":[5,50,107],"the":[6,14,17,23,29,32,45,66,74,86,90,93,112,120],"short-term":[7],"magnitude":[8],"spectra":[9],"(ST-MS)":[10],"of":[11,16,34,73,98],"vowels.":[12,99,121],"Consequently,":[13],"variance":[15,33],"ST-MS":[18,36,55],"is":[19,42,56,76,115],"relatively":[20],"more":[21],"for":[22,47,119],"vowels":[24,49],"than":[25],"other":[26],"sounds.":[27],"In":[28],"presented":[30],"work,":[31],"smoothed":[35,54],"within":[37],"0.5-2.5":[38],"kHz":[39],"frequency":[40],"band":[41],"used":[43],"as":[44],"scalar-feature":[46,75,114],"segmenting":[48],"continuous":[51],"speech.":[52],"reconstructed":[57],"by":[58],"selecting":[59],"low-frequency":[60],"variational":[61,67],"mode":[62,68],"functions":[63],"obtained":[64],"through":[65],"decomposition.":[69],"non-linear":[71],"mapping":[72],"then":[77],"performed":[78,106],"using":[79],"a":[80],"negative":[81],"exponential":[82],"function":[83],"to":[84],"suppress":[85],"fluctuations":[87],"and":[88,95,103,117],"enhance":[89],"transitions":[91],"at":[92],"onset":[94],"offset":[96],"points":[97],"signal":[101],"analysis":[102],"experimental":[104],"studies":[105],"this":[108],"paper":[109],"demonstrate":[110],"that":[111],"proposed":[113],"robust":[116],"discriminative":[118]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}