{"id":"https://openalex.org/W2553594892","doi":"https://doi.org/10.1109/ijcnn.2016.7727552","title":"Analysis of sequence to sequence neural networks on grapheme to phoneme conversion task","display_name":"Analysis of sequence to sequence neural networks on grapheme to phoneme conversion task","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2553594892","doi":"https://doi.org/10.1109/ijcnn.2016.7727552","mag":"2553594892"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727552","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727552","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5086878243","display_name":"Sivanand Achanta","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sivanand Achanta","raw_affiliation_strings":["Speech and Vision Laboratory, IIIT, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Speech and Vision Laboratory, IIIT, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001786160","display_name":"Ayushi Pandey","orcid":"https://orcid.org/0000-0002-7395-9111"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ayushi Pandey","raw_affiliation_strings":["Speech and Vision Laboratory, IIIT, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Speech and Vision Laboratory, IIIT, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058673990","display_name":"Suryakanth V. Gangashetty","orcid":"https://orcid.org/0000-0001-6745-4363"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suryakanth V Gangashetty","raw_affiliation_strings":["Speech and Vision Laboratory, IIIT, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Speech and Vision Laboratory, IIIT, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086878243"],"corresponding_institution_ids":["https://openalex.org/I65181880"],"apc_list":null,"apc_paid":null,"fwci":0.4285,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79651821,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"2798","last_page":"2804"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9994000196456909,"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":0.9994000196456909,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9983000159263611,"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/T10028","display_name":"Topic Modeling","score":0.9979000091552734,"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/grapheme","display_name":"Grapheme","score":0.8985376358032227},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8211662769317627},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.8087997436523438},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.7137282490730286},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6896935105323792},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6363120675086975},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5801869034767151},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5642940402030945},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5591010451316833},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5513267517089844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4891257882118225},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34848618507385254}],"concepts":[{"id":"https://openalex.org/C2776779415","wikidata":"https://www.wikidata.org/wiki/Q2545446","display_name":"Grapheme","level":3,"score":0.8985376358032227},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8211662769317627},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.8087997436523438},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.7137282490730286},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6896935105323792},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6363120675086975},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5801869034767151},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5642940402030945},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5591010451316833},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5513267517089844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4891257882118225},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34848618507385254},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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},{"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/C30080830","wikidata":"https://www.wikidata.org/wiki/Q169917","display_name":"Graphene","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2016.7727552","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727552","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W104184427","https://openalex.org/W108866686","https://openalex.org/W581956982","https://openalex.org/W648786980","https://openalex.org/W854541894","https://openalex.org/W1408639475","https://openalex.org/W1513168562","https://openalex.org/W1514535095","https://openalex.org/W1580142630","https://openalex.org/W1586532344","https://openalex.org/W1591706642","https://openalex.org/W1593247906","https://openalex.org/W1665214252","https://openalex.org/W1689711448","https://openalex.org/W1800356822","https://openalex.org/W1815076433","https://openalex.org/W1855892484","https://openalex.org/W1869752048","https://openalex.org/W1916501714","https://openalex.org/W1924770834","https://openalex.org/W1942035323","https://openalex.org/W2010768384","https://openalex.org/W2064675550","https://openalex.org/W2090755665","https://openalex.org/W2107878631","https://openalex.org/W2108563286","https://openalex.org/W2125930537","https://openalex.org/W2130942839","https://openalex.org/W2131774270","https://openalex.org/W2133564696","https://openalex.org/W2138660131","https://openalex.org/W2157331557","https://openalex.org/W2243249356","https://openalex.org/W2399057275","https://openalex.org/W2963069010","https://openalex.org/W2963299674","https://openalex.org/W2963965928","https://openalex.org/W2964199361","https://openalex.org/W2964308564","https://openalex.org/W4254816979","https://openalex.org/W6604254268","https://openalex.org/W6616837769","https://openalex.org/W6621543089","https://openalex.org/W6628131027","https://openalex.org/W6630740198","https://openalex.org/W6630875275","https://openalex.org/W6635058605","https://openalex.org/W6635078382","https://openalex.org/W6635590879","https://openalex.org/W6637242042","https://openalex.org/W6637409405","https://openalex.org/W6638114406","https://openalex.org/W6638545294","https://openalex.org/W6639082767","https://openalex.org/W6639156005","https://openalex.org/W6639972086","https://openalex.org/W6640212811","https://openalex.org/W6640708543","https://openalex.org/W6678818196","https://openalex.org/W6679434410","https://openalex.org/W6679436768","https://openalex.org/W6680587008","https://openalex.org/W6688158330","https://openalex.org/W6690321021","https://openalex.org/W6712515775"],"related_works":["https://openalex.org/W2506515307","https://openalex.org/W2060656088","https://openalex.org/W4385893898","https://openalex.org/W4285757703","https://openalex.org/W2383836440","https://openalex.org/W2610662399","https://openalex.org/W2509341624","https://openalex.org/W2057468170","https://openalex.org/W112480583","https://openalex.org/W1982818675"],"abstract_inverted_index":{"In":[0],"this":[1,99,118,140],"paper,":[2],"we":[3,191],"analyze":[4],"the":[5,15,38,48,63,72,83,89,108,154,164],"performance":[6,138,196],"of":[7,17,40,46,51,66],"various":[8],"sequence":[9,11,67,69,90,92],"to":[10,19,68,80,91,112,135,163,197],"neural":[12,70,93,123,145],"networks":[13,146],"on":[14,139],"task":[16,100],"grapheme":[18],"phoneme":[20],"(G2P)":[21],"conversion.":[22],"G2P":[23],"is":[24],"a":[25,43,158],"very":[26,101,188],"important":[27],"component":[28],"in":[29,117],"applications":[30],"like":[31],"text-to-speech,":[32],"automatic":[33],"speech":[34],"recognition":[35],"etc,.":[36],"Because":[37],"number":[39,50],"graphemes":[41],"that":[42,110,153,173,186],"word":[44],"consists":[45],"and":[47,59,85],"corresponding":[49],"phonemes":[52],"are":[53,56,104],"different,":[54],"they":[55],"first":[57],"aligned":[58],"then":[60],"mapped.":[61],"With":[62],"recent":[64],"advent":[65],"networks,":[71],"alignment":[73],"step":[74],"can":[75,156,192],"be":[76,113,133,157],"skipped":[77],"allowing":[78],"us":[79],"directly":[81],"map":[82],"input":[84],"output":[86],"sequences.":[87],"Although":[88],"nets":[94],"have":[95],"been":[96],"applied":[97],"for":[98],"recently,":[102],"there":[103],"some":[105],"questions":[106],"concerning":[107],"architecture":[109],"need":[111],"addressed.":[114],"We":[115,150],"show":[116,152],"paper":[119],"that,":[120],"complex":[121],"recurrent":[122,144],"network":[124],"units":[125],"(like":[126],"long-short":[127],"term":[128],"memory":[129],"cells)":[130],"may":[131],"not":[132],"required":[134],"achieve":[136,194],"good":[137],"task.":[141],"Instead":[142],"simple":[143],"(RNN)":[147],"will":[148],"suffice.":[149],"also":[151],"encoder":[155],"uni-directional":[159],"RNN":[160],"as":[161],"opposed":[162],"usually":[165],"preferred":[166],"bi-directional":[167],"RNN.":[168],"Further,":[169],"our":[170],"experiments":[171],"reveal":[172],"encoder-decoder":[174],"models":[175],"with":[176,187],"soft-alignment":[177],"outperforms":[178],"fixed":[179],"vector":[180],"context":[181],"counterpart.":[182],"The":[183],"results":[184],"demonstrate":[185],"few":[189],"parameters":[190],"indeed":[193],"comparable":[195],"much":[198],"more":[199],"complicated":[200],"architectures.":[201]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}