論文

査読有り
2015年3月9日

Unconscious learning of speech sounds using mismatch negativity neurofeedback

ACM International Conference Proceeding Series
  • Ming Chang
  • ,
  • Hiroyuki Iizuka
  • ,
  • Yasushi Naruse
  • ,
  • Hideyuki Ando
  • ,
  • Taro Maeda

11
開始ページ
109
終了ページ
112
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1145/2735711.2735827
出版者・発行元
Association for Computing Machinery

Learning the speech sounds of a foreign language is difficult for adults, and often requires significant training and attention. For example, native Japanese speakers are usually unable to differentiate between the "l" and "r" sounds in English
thus, words like "light" and "right" are hardly discriminated. We previously showed that the discrimination ability for similar pure tones can be improved unconsciously using neurofeedback (NF) training with mismatch negativity (MMN), but it is not clear whether it can improve discrimination of the speech sounds of words. We examined whether MMN Neurofeedback is effective in helping native Japanese speakers discriminate 'light' and 'right' in English. Participants seemed to unconsciously improve significantly in speech sound discrimination through NF training without attention to the auditory stimuli or awareness of what was to be learnt. Individual word sound recognition also improved significantly. Furthermore, our results indicate a lasting effect of NF training.

リンク情報
DOI
https://doi.org/10.1145/2735711.2735827
DBLP
https://dblp.uni-trier.de/rec/conf/aughuman/ChangINAM15
URL
http://dblp.uni-trier.de/db/conf/aughuman/aughuman2015.html#conf/aughuman/ChangINAM15
ID情報
  • DOI : 10.1145/2735711.2735827
  • DBLP ID : conf/aughuman/ChangINAM15
  • SCOPUS ID : 84954162854

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