{"id":"https://openalex.org/W2978613404","doi":"https://doi.org/10.1109/ijcnn.2019.8851682","title":"Multi-label Classification Models for Detection of Phonetic Features in building Acoustic Models","display_name":"Multi-label Classification Models for Detection of Phonetic Features in building Acoustic Models","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2978613404","doi":"https://doi.org/10.1109/ijcnn.2019.8851682","mag":"2978613404"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8851682","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851682","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","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/A5000024470","display_name":"Rupam Ojha","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Rupam Ojha","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113563423","display_name":"C. Chandra Sekhar","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C Chandra Sekhar","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000024470"],"corresponding_institution_ids":["https://openalex.org/I24676775"],"apc_list":null,"apc_paid":null,"fwci":0.14,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.57412343,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"93","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998000264167786,"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":0.9991000294685364,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9958000183105469,"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/computer-science","display_name":"Computer science","score":0.8304418325424194},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7458891272544861},{"id":"https://openalex.org/keywords/acoustic-model","display_name":"Acoustic model","score":0.6391375064849854},{"id":"https://openalex.org/keywords/pronunciation","display_name":"Pronunciation","score":0.6379820108413696},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5468350648880005},{"id":"https://openalex.org/keywords/timit","display_name":"TIMIT","score":0.5443046689033508},{"id":"https://openalex.org/keywords/speech-corpus","display_name":"Speech corpus","score":0.46309471130371094},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.45674294233322144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44304123520851135},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.3504754304885864},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33226534724235535},{"id":"https://openalex.org/keywords/speech-synthesis","display_name":"Speech synthesis","score":0.2829575538635254}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8304418325424194},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7458891272544861},{"id":"https://openalex.org/C155635449","wikidata":"https://www.wikidata.org/wiki/Q4674699","display_name":"Acoustic model","level":3,"score":0.6391375064849854},{"id":"https://openalex.org/C2780844864","wikidata":"https://www.wikidata.org/wiki/Q184377","display_name":"Pronunciation","level":2,"score":0.6379820108413696},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5468350648880005},{"id":"https://openalex.org/C2778724510","wikidata":"https://www.wikidata.org/wiki/Q7670405","display_name":"TIMIT","level":3,"score":0.5443046689033508},{"id":"https://openalex.org/C91863865","wikidata":"https://www.wikidata.org/wiki/Q4349497","display_name":"Speech corpus","level":3,"score":0.46309471130371094},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.45674294233322144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44304123520851135},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.3504754304885864},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33226534724235535},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.2829575538635254},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8851682","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851682","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W29056978","https://openalex.org/W1559678887","https://openalex.org/W1590447358","https://openalex.org/W1635512741","https://openalex.org/W1828163288","https://openalex.org/W1877154798","https://openalex.org/W1886451772","https://openalex.org/W1976559537","https://openalex.org/W1980850109","https://openalex.org/W1981706894","https://openalex.org/W2005708641","https://openalex.org/W2020577846","https://openalex.org/W2021968313","https://openalex.org/W2024490156","https://openalex.org/W2032759346","https://openalex.org/W2052684427","https://openalex.org/W2060630096","https://openalex.org/W2079207700","https://openalex.org/W2114338548","https://openalex.org/W2118712128","https://openalex.org/W2119155265","https://openalex.org/W2127141656","https://openalex.org/W2127846433","https://openalex.org/W2147768505","https://openalex.org/W2151311453","https://openalex.org/W2295676751","https://openalex.org/W2397987315","https://openalex.org/W2511774920","https://openalex.org/W2557978073","https://openalex.org/W2746036396","https://openalex.org/W2962826786","https://openalex.org/W2963414781","https://openalex.org/W6601177559","https://openalex.org/W6635334131","https://openalex.org/W6638749077","https://openalex.org/W6677758222","https://openalex.org/W6697607580","https://openalex.org/W6712217104"],"related_works":["https://openalex.org/W2888518884","https://openalex.org/W2071828724","https://openalex.org/W1953068910","https://openalex.org/W2072788898","https://openalex.org/W1592822300","https://openalex.org/W2054353061","https://openalex.org/W2050397613","https://openalex.org/W2382278371","https://openalex.org/W1607833327","https://openalex.org/W2072450853"],"abstract_inverted_index":{"Acoustic":[0],"modeling":[1],"in":[2,88,107,119],"large":[3],"vocabulary":[4],"continuous":[5],"speech":[6,93,104,122],"recognition":[7,66,162],"systems":[8,30,45],"is":[9,148,168],"commonly":[10],"done":[11],"by":[12],"building":[13,89],"the":[14,56,69,73,83,103,132,145,165],"models":[15,33,60,91,111,138],"for":[16,64,92,114,139],"subword":[17],"units":[18],"such":[19],"as":[20,135],"phonemes,":[21],"syllables":[22],"or":[23,37,61,77],"senones.":[24],"In":[25],"recent":[26],"years,":[27],"various":[28],"end-to-end":[29],"using":[31,164],"acoustic":[32,90,133],"built":[34,113],"at":[35],"grapheme":[36],"phoneme":[38,140,161],"level":[39],"have":[40,81],"also":[41],"been":[42],"explored.":[43],"These":[44],"either":[46],"require":[47],"a":[48,99,120],"lot":[49],"of":[50,58,71,85,116,144],"data":[51,76],"and/or":[52],"heavily":[53],"rely":[54],"on":[55,75,102,150],"use":[57],"language":[59],"pronunciation":[62],"dictionary":[63],"good":[65],"performance.":[67],"With":[68],"intention":[70],"reducing":[72],"dependence":[74],"external":[78],"models,":[79],"we":[80],"explored":[82],"usage":[84],"phonetic":[86,96,117,126,166],"features":[87,97,118,127,134,167],"recognition.":[94],"The":[95,124,142],"describe":[98],"sound":[100],"based":[101],"production":[105],"mechanism":[106],"humans.":[108],"Multi-label":[109],"classification":[110],"are":[112,128],"detection":[115],"given":[121],"signal.":[123],"detected":[125],"used":[129],"along":[130],"with":[131],"input":[136],"to":[137],"identification.":[141],"effectiveness":[143],"proposed":[146],"approach":[147],"demonstrated":[149],"TIMIT":[151],"and":[152],"Wall":[153],"Street":[154],"Journal":[155],"corpora.":[156],"Performance":[157],"improvement":[158],"over":[159],"other":[160],"studies":[163],"obtained.":[169]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
