{"id":"https://openalex.org/W3156236758","doi":"https://doi.org/10.1109/icassp43922.2022.9747780","title":"Deep Learning for Prominence Detection In Children\u2019s Read Speech","display_name":"Deep Learning for Prominence Detection In Children\u2019s Read Speech","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W3156236758","doi":"https://doi.org/10.1109/icassp43922.2022.9747780","mag":"3156236758"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9747780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747780","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5001928203","display_name":"Mithilesh Vaidya","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Mithilesh Vaidya","raw_affiliation_strings":["Indian Institute of Technology Bombay,Department of Electrical Engineering,Mumbai,India","Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay,Department of Electrical Engineering,Mumbai,India","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029001285","display_name":"Kamini Sabu","orcid":"https://orcid.org/0000-0002-1866-6260"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kamini Sabu","raw_affiliation_strings":["Indian Institute of Technology Bombay,Department of Electrical Engineering,Mumbai,India","Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay,Department of Electrical Engineering,Mumbai,India","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084496610","display_name":"Preeti Rao","orcid":"https://orcid.org/0000-0002-2842-8450"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Preeti Rao","raw_affiliation_strings":["Indian Institute of Technology Bombay,Department of Electrical Engineering,Mumbai,India","Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay,Department of Electrical Engineering,Mumbai,India","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001928203"],"corresponding_institution_ids":["https://openalex.org/I162827531"],"apc_list":null,"apc_paid":null,"fwci":0.2765,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.40882353,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"82","issue":null,"first_page":"8157","last_page":"8161"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10403","display_name":"Phonetics and Phonology Research","score":0.9994999766349792,"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":0.9994999766349792,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9990000128746033,"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/T12031","display_name":"Speech and dialogue systems","score":0.9976000189781189,"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":0.7789890766143799},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.666141152381897},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5705556869506836},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.5525710582733154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5340062379837036},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4819750189781189},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4281511902809143},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4273890256881714},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.42131882905960083},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.10910484194755554}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7789890766143799},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.666141152381897},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5705556869506836},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.5525710582733154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5340062379837036},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4819750189781189},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4281511902809143},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4273890256881714},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.42131882905960083},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.10910484194755554},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp43922.2022.9747780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747780","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8299999833106995,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W28194048","https://openalex.org/W1522301498","https://openalex.org/W1537563048","https://openalex.org/W1924770834","https://openalex.org/W2019597205","https://openalex.org/W2064675550","https://openalex.org/W2073791162","https://openalex.org/W2125689567","https://openalex.org/W2159372275","https://openalex.org/W2165466910","https://openalex.org/W2250539671","https://openalex.org/W2396516324","https://openalex.org/W2398044918","https://openalex.org/W2398538797","https://openalex.org/W2400043834","https://openalex.org/W2404634863","https://openalex.org/W2464811574","https://openalex.org/W2591082262","https://openalex.org/W2745692063","https://openalex.org/W2749481515","https://openalex.org/W2752229222","https://openalex.org/W2777397235","https://openalex.org/W2796738181","https://openalex.org/W2799214249","https://openalex.org/W2807799430","https://openalex.org/W2807824373","https://openalex.org/W2896457183","https://openalex.org/W2913384670","https://openalex.org/W2922482806","https://openalex.org/W2944569409","https://openalex.org/W2963085091","https://openalex.org/W2963341956","https://openalex.org/W2963353881","https://openalex.org/W2963753449","https://openalex.org/W2964052309","https://openalex.org/W2964121744","https://openalex.org/W2973190645","https://openalex.org/W2976196855","https://openalex.org/W2991556167","https://openalex.org/W3015859459","https://openalex.org/W3027876491","https://openalex.org/W3045526829","https://openalex.org/W3096048508","https://openalex.org/W3097378616","https://openalex.org/W3100400819","https://openalex.org/W3101454932","https://openalex.org/W3114586009","https://openalex.org/W3126907665","https://openalex.org/W6631190155","https://openalex.org/W6683443179","https://openalex.org/W6753968785","https://openalex.org/W6755207826","https://openalex.org/W6759390103","https://openalex.org/W6765540686","https://openalex.org/W6781784865"],"related_works":["https://openalex.org/W2039546652","https://openalex.org/W2012262991","https://openalex.org/W4293226380","https://openalex.org/W2373794620","https://openalex.org/W2357294589","https://openalex.org/W2386861027","https://openalex.org/W2060629350","https://openalex.org/W2349302580","https://openalex.org/W2390154576","https://openalex.org/W2916983164"],"abstract_inverted_index":{"The":[0,61],"detection":[1,55],"of":[2,14,96,104,122],"perceived":[3],"prominence":[4,108],"in":[5,37],"speech":[6,46],"has":[7],"attracted":[8],"approaches":[9],"ranging":[10],"from":[11,25,80,142],"the":[12,21,81,87,94,97,101,114,119,138],"design":[13],"knowledge-based":[15],"linguistic":[16,98],"and":[17,31,73,107,145],"acoustic":[18,133,144],"features":[19,50,72],"to":[20,48,52,78],"automatic":[22],"feature":[23],"learning":[24],"suprasegmental":[26],"attributes":[27],"such":[28],"as":[29,86],"pitch":[30],"intensity":[32],"contours.":[33],"We":[34,91],"present":[35],"here,":[36],"contrast,":[38],"a":[39,123],"system":[40],"that":[41],"operates":[42],"directly":[43],"on":[44,118,129],"segmented":[45],"waveforms":[47],"learn":[49],"relevant":[51],"prominent":[53],"word":[54],"for":[56],"children\u2019s":[57],"oral":[58],"fluency":[59],"assessment.":[60],"chosen":[62,131],"CRNN":[63],"(convolutional":[64],"recurrent":[65],"neural":[66],"network)":[67],"framework,":[68],"incorporating":[69],"both":[70],"word-level":[71],"sequence":[74],"information,":[75],"is":[76],"found":[77],"benefit":[79],"perceptually":[82],"motivated":[83],"SincNet":[84],"filters":[85],"first":[88],"convolutional":[89],"layer.":[90],"further":[92,137],"explore":[93],"benefits":[95],"association":[99],"between":[100],"prosodic":[102],"events":[103],"phrase":[105],"boundary":[106],"with":[109],"different":[110],"multi-task":[111],"architectures.":[112],"Surpassing":[113],"previously":[115],"reported":[116],"performance":[117],"same":[120],"dataset":[121],"random":[124],"forest":[125],"ensemble":[126],"predictor":[127],"trained":[128],"carefully":[130],"hand-crafted":[132,143],"features,":[134],"we":[135],"evaluate":[136],"possibly":[139],"complementary":[140],"information":[141],"pre-trained":[146],"lexical":[147],"features.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}