{"id":"https://openalex.org/W4405709335","doi":"https://doi.org/10.1109/iscslp63861.2024.10800392","title":"Improving Grapheme-to-Phoneme Conversion through In-Context Knowledge Retrieval with Large Language Models","display_name":"Improving Grapheme-to-Phoneme Conversion through In-Context Knowledge Retrieval with Large Language Models","publication_year":2024,"publication_date":"2024-11-07","ids":{"openalex":"https://openalex.org/W4405709335","doi":"https://doi.org/10.1109/iscslp63861.2024.10800392"},"language":"en","primary_location":{"id":"doi:10.1109/iscslp63861.2024.10800392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp63861.2024.10800392","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 14th International Symposium on Chinese Spoken Language Processing (ISCSLP)","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":null,"display_name":"Dongrui Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dongrui Han","raw_affiliation_strings":["Centre for Perceptual and Interactive Intelligence (CPII) Limited,Hong Kong"],"affiliations":[{"raw_affiliation_string":"Centre for Perceptual and Interactive Intelligence (CPII) Limited,Hong Kong","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065896539","display_name":"Mingyu Cui","orcid":"https://orcid.org/0000-0001-9781-9407"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Mingyu Cui","raw_affiliation_strings":["The Chinese University of Hong Kong,Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062761975","display_name":"Jiawen Kang","orcid":"https://orcid.org/0000-0002-8218-3490"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jiawen Kang","raw_affiliation_strings":["The Chinese University of Hong Kong,Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025119324","display_name":"Xixin Wu","orcid":"https://orcid.org/0000-0001-9543-1572"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xixin Wu","raw_affiliation_strings":["The Chinese University of Hong Kong,Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037109470","display_name":"Xunying Liu","orcid":"https://orcid.org/0000-0001-6725-1160"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xunying Liu","raw_affiliation_strings":["The Chinese University of Hong Kong,Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102225156","display_name":"Helen Meng","orcid":"https://orcid.org/0000-0002-4427-3532"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Helen Meng","raw_affiliation_strings":["The Chinese University of Hong Kong,Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3345,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.69168352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"631","last_page":"635"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9908999800682068,"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/T10028","display_name":"Topic Modeling","score":0.9908999800682068,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9865999817848206,"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":0.983299970626831,"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":0.9417279958724976},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8124992847442627},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.619263768196106},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5331043004989624},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5213702321052551},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05933338403701782}],"concepts":[{"id":"https://openalex.org/C2776779415","wikidata":"https://www.wikidata.org/wiki/Q2545446","display_name":"Grapheme","level":3,"score":0.9417279958724976},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8124992847442627},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.619263768196106},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5331043004989624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5213702321052551},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05933338403701782},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C30080830","wikidata":"https://www.wikidata.org/wiki/Q169917","display_name":"Graphene","level":2,"score":0.0},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscslp63861.2024.10800392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp63861.2024.10800392","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 14th International Symposium on Chinese Spoken Language Processing (ISCSLP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G782430798","display_name":null,"funder_award_id":"62306260","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1593247906","https://openalex.org/W2010768384","https://openalex.org/W2090755665","https://openalex.org/W2637445152","https://openalex.org/W2920834369","https://openalex.org/W2963299674","https://openalex.org/W2963609956","https://openalex.org/W2972437137","https://openalex.org/W4224629880","https://openalex.org/W4297841830","https://openalex.org/W4392669753","https://openalex.org/W6604962579","https://openalex.org/W6677499955","https://openalex.org/W6763832098","https://openalex.org/W6778823374","https://openalex.org/W6796464841","https://openalex.org/W6800875267","https://openalex.org/W6803129872","https://openalex.org/W6853251322","https://openalex.org/W6854445763","https://openalex.org/W6854451089","https://openalex.org/W6854866820"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","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/W3204019825"],"abstract_inverted_index":{"Grapheme-to-phoneme":[0],"(G2P)":[1],"conversion":[2,57,79,94],"is":[3,81],"a":[4,36],"crucial":[5],"step":[6],"in":[7,51,116],"Text-to-Speech":[8],"(TTS)":[9],"systems,":[10],"responsible":[11],"for":[12,38],"mapping":[13],"grapheme":[14,27],"to":[15,68],"corresponding":[16],"phonetic":[17],"representations.":[18],"However,":[19],"it":[20],"faces":[21],"ambiguities":[22],"problems":[23],"where":[24],"the":[25,43,85,90,99,117,128],"same":[26],"can":[28,120],"represent":[29],"multiple":[30],"phonemes":[31],"depending":[32],"on":[33,84,127],"contexts,":[34],"posing":[35],"challenge":[37],"G2P":[39,56,78,93],"conversion.":[40],"Inspired":[41],"by":[42],"remarkable":[44],"success":[45],"of":[46,74,109,122],"Large":[47],"Language":[48],"Models":[49],"(LLMs)":[50],"handling":[52],"context-aware":[53],"scenarios,":[54],"contextual":[55,92],"systems":[58,80],"with":[59,101],"LLMs'":[60],"in-context":[61],"knowledge":[62],"retrieval":[63],"(ICKR)":[64],"capabilities":[65],"are":[66],"proposed":[67],"promote":[69],"disambiguation":[70],"capability.":[71],"The":[72],"efficacy":[73],"incorporating":[75],"ICKR":[76,97,118],"into":[77],"demonstrated":[82],"thoroughly":[83],"Librig2p":[86,129],"dataset.":[87,130],"In":[88],"particular,":[89],"best":[91],"system":[95,119],"using":[96],"outperforms":[98],"baseline":[100],"weighted":[102],"average":[103],"phoneme":[104],"error":[105],"rate":[106],"(PER)":[107],"reductions":[108],"2.0%":[110],"absolute":[111,124],"(28.9%":[112],"relative).":[113],"Using":[114],"GPT-4":[115],"increase":[121],"3.5%":[123],"(3.8%":[125],"relative)":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
