Y
Yôiti Suzuki
Researcher at Tohoku University
Publications - 327
Citations - 3716
Yôiti Suzuki is an academic researcher from Tohoku University. The author has contributed to research in topics: Loudness & Sound localization. The author has an hindex of 26, co-authored 324 publications receiving 3465 citations. Previous affiliations of Yôiti Suzuki include National Institute of Information and Communications Technology & Adam Mickiewicz University in Poznań.
Papers
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An optimum computer-generated pulse signal suitable for the measurement of very long impulse responses
TL;DR: This optimized ATSP (OATSP) has an almost ideal characteristic to measure impulse responses shorter than its specific length N and it is newly shown in this paper that OATSP has also a good characteristic toMeasure impulse responses longer than N.
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Role of spectral cues in median plane localization.
TL;DR: The role of spectral cues in the sound source to ear transfer function in median plane sound localization is investigated to investigate the role of microscopic and macroscopic patterns in the transfer functions for median plane localization.
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Equal-loudness-level contours for pure tones.
Yôiti Suzuki,Hisashi Takeshima +1 more
TL;DR: The present paper brings together the results of 12 studies starting in the mid-1980s to arrive at a new set of contours for equal-loudness-level contours, which are compared with four sets of classic contours taken from the available literature.
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Implicit estimation of sound-arrival time
Yoichi Sugita,Yôiti Suzuki +1 more
TL;DR: The findings indicate that auditory and visual inputs are coordinated not because the brain has a wide temporal window for auditory integration, as was previously thought, butBecause the brain actively changes the temporal location of the window depending on the distance of the visible sound source.
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Time-spread echo method for digital audio watermarking
TL;DR: This paper proposes a time-spread echo as an alternative to the single echo in conventional echo hiding, and shows good imperceptibility and robustness against typical signal processing.