Presentation 2000/12/1
Learning Effect on Perception of Tone Sequences with Noise
Masayuki MATSUMOTO, Kazushi MURAKOSHI, Kiyohiko NAKAMURA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This study presents three psychophysical experiments which investigated the effect of learning on the cocktail party effect. 1)Subjects were required to repeatedly listen to a pure tone sequence perceieved as one stream, and the then to say that they could segregate two sequences as two streams, when the repeated sequence and the other sequence were listened to at the same time. It was shown that segregation rate raised as the learning progressed. 2)Subjects were required to listen to a pure tone sequence perceived as one stream repeatedly, and then to detect it from noise. It was shown that the correct rate in the detection raised as the learning progressed. 3)The pure tone sequence was changed so that they could not be perceived as one stream, for instance the interval of the sounds was extended. The correct rate was not raised as the learning prgressed. From these above, it was suggested that the cocktail party effect results from learning, and is caused by perceiving target sounds as one stream.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) cocktail party effect / tone sequence / auditory stream / perceptual learning
Paper # NC2000-80
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Committee NC
Conference Date 2000/12/1(1days)
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Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Learning Effect on Perception of Tone Sequences with Noise
Sub Title (in English)
Keyword(1) cocktail party effect
Keyword(2) tone sequence
Keyword(3) auditory stream
Keyword(4) perceptual learning
1st Author's Name Masayuki MATSUMOTO
1st Author's Affiliation Dept. Computational Intelligence and Systems Science, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology()
2nd Author's Name Kazushi MURAKOSHI
2nd Author's Affiliation Dept. Computational Intelligence and Systems Science, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
3rd Author's Name Kiyohiko NAKAMURA
3rd Author's Affiliation Dept. Computational Intelligence and Systems Science, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
Date 2000/12/1
Paper # NC2000-80
Volume (vol) vol.100
Number (no) 490
Page pp.pp.-
#Pages 6
Date of Issue