{"id":"https://openalex.org/W1994512188","doi":"https://doi.org/10.1109/icassp.2013.6638957","title":"Phonetic segmentation using statistical correction and multi-resolution fusion","display_name":"Phonetic segmentation using statistical correction and multi-resolution fusion","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W1994512188","doi":"https://doi.org/10.1109/icassp.2013.6638957","mag":"1994512188"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6638957","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638957","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5100845125","display_name":"Sixuan Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Sixuan Zhao","raw_affiliation_strings":["School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore","Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, , Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, , Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111739626","display_name":"Ing Yann Soon","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ing Yann Soon","raw_affiliation_strings":["School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore","Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, , Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, , Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006552104","display_name":"Soo Ngee Koh","orcid":"https://orcid.org/0000-0001-6974-0988"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Soo Ngee Koh","raw_affiliation_strings":["School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore","Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, , Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, , Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045562512","display_name":"Kang Kwong Luke","orcid":"https://orcid.org/0000-0002-2883-3659"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Kang Kwong Luke","raw_affiliation_strings":["School of Humanities & Social Sciences, Nanyang Technological University, Singapore","Sch. of Humanities & Social Sci., Nanyang Technol. Univ., Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Humanities & Social Sciences, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Humanities & Social Sci., Nanyang Technol. Univ., Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6442,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67142032,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"51","issue":null,"first_page":"6694","last_page":"6698"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9993000030517578,"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":0.9966999888420105,"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/segmentation","display_name":"Segmentation","score":0.8006418943405151},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.7162283062934875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6558979749679565},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6003368496894836},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5614176988601685},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5046666860580444},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.49677687883377075},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49190258979797363},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4817514419555664},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4524199366569519},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44257837533950806},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.42449119687080383},{"id":"https://openalex.org/keywords/mean-absolute-error","display_name":"Mean absolute error","score":0.4213916063308716},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.41842490434646606},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1985844075679779},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17794767022132874}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8006418943405151},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.7162283062934875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6558979749679565},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6003368496894836},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5614176988601685},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5046666860580444},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.49677687883377075},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49190258979797363},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4817514419555664},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4524199366569519},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44257837533950806},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.42449119687080383},{"id":"https://openalex.org/C188154048","wikidata":"https://www.wikidata.org/wiki/Q6803609","display_name":"Mean absolute error","level":3,"score":0.4213916063308716},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.41842490434646606},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1985844075679779},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17794767022132874},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2013.6638957","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638957","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W88081813","https://openalex.org/W2017742648","https://openalex.org/W2045157414","https://openalex.org/W2077804127","https://openalex.org/W2106221537","https://openalex.org/W2111478553","https://openalex.org/W2148580904","https://openalex.org/W2150658333","https://openalex.org/W2151818889","https://openalex.org/W2153635508","https://openalex.org/W2168052445","https://openalex.org/W2169711598","https://openalex.org/W3120421331","https://openalex.org/W6682458458"],"related_works":["https://openalex.org/W4247388746","https://openalex.org/W2314720829","https://openalex.org/W3178576217","https://openalex.org/W4221063543","https://openalex.org/W4285794683","https://openalex.org/W4385195237","https://openalex.org/W4286256617","https://openalex.org/W4385577504","https://openalex.org/W4318676890","https://openalex.org/W121055840"],"abstract_inverted_index":{"This":[0,57],"paper":[1,58],"focuses":[2],"on":[3,13,22,38],"the":[4,30,39,54,61,77,105],"generation":[5],"of":[6,35,63,66,82,87],"accurate":[7],"phonetic":[8],"segmentations.":[9],"Statistical":[10],"methods":[11],"based":[12],"absolute":[14,91],"and":[15,20,25,45,68,94],"relative":[16],"correction":[17,41,55],"are":[18],"discussed":[19],"experimented":[21],"both":[23],"monophone":[24],"biphone":[26],"models":[27],"to":[28,52,74],"improve":[29],"segmentation":[31,83,88],"results.":[32,56,80],"The":[33],"influence":[34,62],"search":[36],"range":[37],"statistical":[40],"process":[42,73],"is":[43,50],"studied":[44],"a":[46,70],"state":[47],"selection":[48],"technique":[49],"used":[51],"enhance":[53],"also":[59],"explores":[60],"resolution":[64],"(stepsize)":[65],"HMMs":[67],"proposes":[69],"multi-resolution":[71],"fusion":[72],"further":[75],"refine":[76],"statistically":[78],"corrected":[79],"Improvements":[81],"results":[84],"in":[85],"terms":[86],"accuracy,":[89],"mean":[90,96],"error":[92,98],"(MAE),":[93],"root":[95],"square":[97],"(RMSE)":[99],"can":[100],"be":[101],"observed":[102],"by":[103],"applying":[104],"proposed":[106],"refinement":[107],"methods.":[108]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
