{"id":"https://openalex.org/W2073614151","doi":"https://doi.org/10.1109/ialp.2014.6973511","title":"A spectral transition measure based MELCEPSTRAL features for obstruent detection","display_name":"A spectral transition measure based MELCEPSTRAL features for obstruent detection","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2073614151","doi":"https://doi.org/10.1109/ialp.2014.6973511","mag":"2073614151"},"language":"en","primary_location":{"id":"doi:10.1109/ialp.2014.6973511","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp.2014.6973511","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5082723451","display_name":"Bhavik Vachhani","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bhavik B. Vachhani","raw_affiliation_strings":["TCS Innovation Labs, Mumbai, India","TCS Innovation Lab, Mumbai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Innovation Labs, Mumbai, India","institution_ids":[]},{"raw_affiliation_string":"TCS Innovation Lab, Mumbai, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043990671","display_name":"Kewal D. Malde","orcid":null},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani University","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kewal D. Malde","raw_affiliation_strings":["Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, Gujarat, India","Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT) Gandhinagar, Gujarat, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, Gujarat, India","institution_ids":["https://openalex.org/I98389781"]},{"raw_affiliation_string":"Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT) Gandhinagar, Gujarat, India","institution_ids":["https://openalex.org/I98389781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048910634","display_name":"Maulik C. Madhavi","orcid":"https://orcid.org/0000-0001-8743-6437"},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani University","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Maulik C. Madhavi","raw_affiliation_strings":["Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, Gujarat, India","Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT) Gandhinagar, Gujarat, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, Gujarat, India","institution_ids":["https://openalex.org/I98389781"]},{"raw_affiliation_string":"Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT) Gandhinagar, Gujarat, India","institution_ids":["https://openalex.org/I98389781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043002276","display_name":"Hemant A. Patil","orcid":"https://orcid.org/0000-0002-4068-2005"},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani University","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Hemant A. Patil","raw_affiliation_strings":["Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, Gujarat, India","Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT) Gandhinagar, Gujarat, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, Gujarat, India","institution_ids":["https://openalex.org/I98389781"]},{"raw_affiliation_string":"Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT) Gandhinagar, Gujarat, India","institution_ids":["https://openalex.org/I98389781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0178,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.77055921,"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":"50","last_page":"53"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10403","display_name":"Phonetics and Phonology Research","score":0.9970999956130981,"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"}},"topics":[{"id":"https://openalex.org/T10403","display_name":"Phonetics and Phonology Research","score":0.9970999956130981,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9954000115394592,"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":0.9947999715805054,"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/obstruent","display_name":"Obstruent","score":0.9807637333869934},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7442642450332642},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6490980386734009},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.5755994319915771},{"id":"https://openalex.org/keywords/timit","display_name":"TIMIT","score":0.5522282123565674},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5428997278213501},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.526203453540802},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.4697718322277069},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4345182478427887},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.43138980865478516},{"id":"https://openalex.org/keywords/transition","display_name":"Transition (genetics)","score":0.4147675931453705},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33472365140914917},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.21080756187438965},{"id":"https://openalex.org/keywords/voice","display_name":"Voice","score":0.15748855471611023}],"concepts":[{"id":"https://openalex.org/C3156200","wikidata":"https://www.wikidata.org/wiki/Q1148563","display_name":"Obstruent","level":3,"score":0.9807637333869934},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7442642450332642},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6490980386734009},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.5755994319915771},{"id":"https://openalex.org/C2778724510","wikidata":"https://www.wikidata.org/wiki/Q7670405","display_name":"TIMIT","level":3,"score":0.5522282123565674},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5428997278213501},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.526203453540802},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.4697718322277069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4345182478427887},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.43138980865478516},{"id":"https://openalex.org/C194232998","wikidata":"https://www.wikidata.org/wiki/Q1606712","display_name":"Transition (genetics)","level":3,"score":0.4147675931453705},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33472365140914917},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.21080756187438965},{"id":"https://openalex.org/C552089266","wikidata":"https://www.wikidata.org/wiki/Q494510","display_name":"Voice","level":2,"score":0.15748855471611023},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ialp.2014.6973511","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp.2014.6973511","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6899999976158142,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W46190896","https://openalex.org/W1494496989","https://openalex.org/W2001496355","https://openalex.org/W2042155133","https://openalex.org/W2101931580","https://openalex.org/W2155342818","https://openalex.org/W2171752983","https://openalex.org/W6601819296","https://openalex.org/W6684765037"],"related_works":["https://openalex.org/W2018086531","https://openalex.org/W1980297060","https://openalex.org/W2210800534","https://openalex.org/W2387604097","https://openalex.org/W4385672897","https://openalex.org/W2373675101","https://openalex.org/W106160982","https://openalex.org/W2359140082","https://openalex.org/W2074132948","https://openalex.org/W2413040788"],"abstract_inverted_index":{"Obstruents":[0],"are":[1,110],"the":[2,8,24,27,52,91],"key":[3],"landmark":[4],"events":[5],"found":[6],"in":[7,26,36,51,90],"speech":[9,45],"signal.":[10],"In":[11,62],"this":[12,55,63],"paper,":[13,64],"we":[14,65],"propose":[15,66],"use":[16,67],"of":[17,49,68,93],"spectral":[18,78,88],"transition":[19,79,89],"measure":[20],"(STM)":[21],"to":[22,37,76],"locate":[23],"obstruents":[25,50],"continuous":[28],"speech.":[29],"The":[30,95,104],"proposed":[31],"approach":[32,56],"does":[33],"not":[34],"take":[35],"account":[38],"any":[39],"prior":[40],"information":[41],"(like":[42],"phonetic":[43],"sequence,":[44],"transcription,":[46],"and":[47,59,107,114,122],"number":[48],"speech).":[53],"Hence":[54],"is":[57,85,99],"unsupervised":[58],"unconstraint":[60],"approach.":[61],"state-of-the-art":[69],"Mel":[70],"Frequency":[71],"Cepstral":[72],"Coefficients":[73],"(MFCC)-based":[74],"features":[75],"capture":[77],"for":[80],"obstruent":[81],"detection":[82,105],"task.":[83],"It":[84],"expected":[86],"more":[87],"vicinity":[92],"obstruents.":[94],"entire":[96],"experimental":[97],"setup":[98],"developed":[100],"on":[101],"TIMIT":[102],"database.":[103],"efficiency":[106],"estimated":[108],"probability":[109],"around":[111],"77":[112],"%":[113],"0.77":[115],"respectively":[116],"(with":[117],"30":[118],"ms":[119],"agreement":[120],"duration":[121],"0.4":[123],"STM":[124],"threshold).":[125]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}