{"id":"https://openalex.org/W4405709435","doi":"https://doi.org/10.1109/iscslp63861.2024.10800550","title":"Encoding and Decoding of Chinese Phonemes Based on MEG Signals","display_name":"Encoding and Decoding of Chinese Phonemes Based on MEG Signals","publication_year":2024,"publication_date":"2024-11-07","ids":{"openalex":"https://openalex.org/W4405709435","doi":"https://doi.org/10.1109/iscslp63861.2024.10800550"},"language":"en","primary_location":{"id":"doi:10.1109/iscslp63861.2024.10800550","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp63861.2024.10800550","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":"Jinghua Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I111483173","display_name":"King University","ror":"https://ror.org/01evb6z23","country_code":"US","type":"education","lineage":["https://openalex.org/I111483173"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Jinghua Liang","raw_affiliation_strings":["Speech and Hearing Research Center, School of Intelligence Science and Technology, Peking University"],"affiliations":[{"raw_affiliation_string":"Speech and Hearing Research Center, School of Intelligence Science and Technology, Peking University","institution_ids":["https://openalex.org/I111483173","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100408160","display_name":"Bo Wang","orcid":"https://orcid.org/0000-0002-9620-3413"},"institutions":[{"id":"https://openalex.org/I111483173","display_name":"King University","ror":"https://ror.org/01evb6z23","country_code":"US","type":"education","lineage":["https://openalex.org/I111483173"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Bo Wang","raw_affiliation_strings":["Speech and Hearing Research Center, School of Intelligence Science and Technology, Peking University"],"affiliations":[{"raw_affiliation_string":"Speech and Hearing Research Center, School of Intelligence Science and Technology, Peking University","institution_ids":["https://openalex.org/I111483173","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111110989","display_name":"Xihong Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I111483173","display_name":"King University","ror":"https://ror.org/01evb6z23","country_code":"US","type":"education","lineage":["https://openalex.org/I111483173"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Xihong Wu","raw_affiliation_strings":["Speech and Hearing Research Center, School of Intelligence Science and Technology, Peking University"],"affiliations":[{"raw_affiliation_string":"Speech and Hearing Research Center, School of Intelligence Science and Technology, Peking University","institution_ids":["https://openalex.org/I111483173","https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102730078","display_name":"Jing Chen","orcid":"https://orcid.org/0000-0003-1894-335X"},"institutions":[{"id":"https://openalex.org/I111483173","display_name":"King University","ror":"https://ror.org/01evb6z23","country_code":"US","type":"education","lineage":["https://openalex.org/I111483173"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Jing Chen","raw_affiliation_strings":["Speech and Hearing Research Center, School of Intelligence Science and Technology, Peking University"],"affiliations":[{"raw_affiliation_string":"Speech and Hearing Research Center, School of Intelligence Science and Technology, Peking University","institution_ids":["https://openalex.org/I111483173","https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111483173","https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25743046,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"224","last_page":"228"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.5752000212669373,"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":0.5752000212669373,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.5115000009536743,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/decoding-methods","display_name":"Decoding methods","score":0.8831443786621094},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6900712251663208},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6858508586883545},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6260650157928467},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3366779088973999},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16901922225952148}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.8831443786621094},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6900712251663208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6858508586883545},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6260650157928467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3366779088973999},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16901922225952148}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscslp63861.2024.10800550","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp63861.2024.10800550","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2049363352","https://openalex.org/W2079207700","https://openalex.org/W2085408956","https://openalex.org/W2160654481","https://openalex.org/W2169918686","https://openalex.org/W2481854178","https://openalex.org/W2519091744","https://openalex.org/W2582895110","https://openalex.org/W2752796333","https://openalex.org/W2761532371","https://openalex.org/W2793776612","https://openalex.org/W3011336238","https://openalex.org/W3100270690","https://openalex.org/W4298143835","https://openalex.org/W4385196390","https://openalex.org/W4386091044","https://openalex.org/W4386100600","https://openalex.org/W4387378260","https://openalex.org/W4392910587","https://openalex.org/W6785090365"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2368824897","https://openalex.org/W1508050556","https://openalex.org/W1910862367","https://openalex.org/W2379365082","https://openalex.org/W2370747590","https://openalex.org/W2030109976","https://openalex.org/W2369260257","https://openalex.org/W2389120450","https://openalex.org/W55249799"],"abstract_inverted_index":{"Phonemes,":[0],"the":[1,9,51,64,116,137,142,169,178,205,208],"smallest":[2],"phonetic":[3],"units":[4],"of":[5,69,119,199],"speech":[6,53,75,86],"sound,":[7],"bridge":[8],"connection":[10],"between":[11],"neural":[12,65,125],"recordings":[13],"and":[14,67,136,144],"words.":[15],"Decoding":[16],"phonemes":[17,42,72,155],"from":[18,94,133,162,187],"non-invasive":[19],"Electro-/Magneto-encephalography":[20],"(EEG/MEG)":[21],"has":[22],"been":[23],"demonstrated":[24],"to":[25,90,114,129,165],"be":[26,202],"feasible.":[27],"However,":[28],"previous":[29],"studies":[30],"mainly":[31],"focused":[32],"on":[33,104],"decoding":[34,68,138,173],"with":[35,50,109],"EEG/MEG":[36],"that":[37,153,176],"was":[38,88,102,147],"evoked":[39],"by":[40],"isolated":[41],"or":[43],"syllable":[44],"stimuli,":[45],"which":[46],"do":[47],"not":[48],"align":[49],"continuous":[52,74,95],"scenarios":[54],"encountered":[55],"in":[56,73,122,159],"practical":[57],"applications.":[58],"In":[59],"this":[60],"study,":[61],"we":[62],"investigated":[63],"encoding":[66],"Mandarin":[70],"Chinese":[71,154],"using":[76,183],"MEG":[77,112,134,160,188],"signals.":[78],"Firstly,":[79],"a":[80,196],"Vector":[81],"Quantized":[82],"Variational":[83],"Autoencoder":[84],"(VQ-VAE)":[85],"model":[87],"trained":[89],"extract":[91],"phoneme":[92,120,131,170,184,213],"features":[93,107,132,185],"speech.":[96],"Subsequently,":[97],"representational":[98],"similarity":[99],"analysis":[100],"(RSA)":[101],"performed":[103],"these":[105],"extracted":[106],"along":[108],"their":[110],"corresponding":[111],"data":[113],"explore":[115],"temporal":[117],"patterns":[118],"representation":[121,158],"MEG.":[123],"Finally,":[124],"networks":[126],"were":[127],"utilized":[128],"reconstruct":[130],"signals,":[135],"performance":[139],"at":[140,177],"both":[141],"segment":[143,179],"frame":[145,206],"levels":[146],"evaluated.":[148],"The":[149,172],"RSA":[150],"results":[151,174],"show":[152,175],"exhibit":[156],"significant":[157],"signals":[161,189],"160":[163],"ms":[164,167],"300":[166],"after":[168],"onset.":[171],"level":[180],"(3":[181],"seconds),":[182],"decoded":[186],"for":[190,211],"retrieval":[191],"tasks":[192],"(candidate":[193],"number:":[194],"987),":[195],"top-10":[197],"accuracy":[198,210],"41.57%":[200],"can":[201],"achieved.":[203],"At":[204],"level,":[207],"six-class":[209],"classifying":[212],"articulation":[214],"manners":[215],"is":[216],"36.16%.":[217]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
