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Volumn 34, Issue 6, 2013, Pages 1477-1489

Identifying fragments of natural speech from the listener's MEG signals

Author keywords

Auditory perception; Decoding; Encoding; Machine learning; Magnetoencephalography; Signal processing; Speech

Indexed keywords

ADULT; ALGORITHM; ARTICLE; BAYES THEOREM; CORRELATION ANALYSIS; FEMALE; HEARING; HUMAN; HUMAN EXPERIMENT; MAGNETOENCEPHALOGRAPHY; MALE; NORMAL HUMAN; PRIORITY JOURNAL; SIGNAL PROCESSING; SOUND; SPEECH; SPEECH ANALYSIS; STIMULUS RESPONSE;

EID: 84876450629     PISSN: 10659471     EISSN: 10970193     Source Type: Journal    
DOI: 10.1002/hbm.22004     Document Type: Article
Times cited : (29)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.