Atsuo Suemitsu

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Distinctive neuronal activities related to visual stimulus-stimulus association have been found in the inferior temporal (IT) cortex of monkeys. They provide an important clue to elucidating the memory mechanisms of the brain, but do not accord with existing neural network models. In the present paper, we clarify the computational principle required for(More)
This paper examines kinematic patterns of jaw opening and associated F1 values of 4 American English speakers in productions of the sentence 'I saw five bright highlights in the sky'. Results show strong-weak jaw opening alternations during the production of the utterance, and significant correlation of F1 with jaw opening for 3 of the 4 speakers. The(More)
Articulatory information can support learning or remediating pronunciation of a second language (L2). This paper describes an electromagnetic articulometer-based visual-feedback approach using an articulatory target presented in real-time to facilitate L2 pronunciation learning. This approach trains learners to adjust articulatory positions to match targets(More)
This paper compares prominence that listeners perceive with actual articulatory prominence. We calculated phrasal boundaries from articulatory patterns using an algorithm of the C/D model, and compared those calculated boundaries with perceived boundaries. The jaw displacements, measures of prominence, were measured using EMA; articulatory boundaries were(More)
Neuronal activities related to context-dependent recall have been found in the monkey inferotemporal cortex. If we set the same task for an artificial neural network, however, a serious computational difficulty arises. In the present paper, we overcome this difficulty by implementing a novel method of contextual modulation, termed selective desensitization,(More)
Articulatory duration of vowels is often measured as the duration from jaw closure maximum to jaw closure maximum, flanking the production of the syllable nucleus. However, this method may not necessarily represent articulatory syllable duration, since the actual onset/offset of the syllable depends on the specific articulator (lip, tongue) that implements(More)
Real-time pattern classification of electromyogram (EMG) signals is significant and useful for developing prosthetic limbs. However, the existing approaches are not practical enough because of several limitations in their usage, such as the large amount of data required to train the classifier. Here, we introduce a method employing a selective(More)
The present paper proposes a method for estimating joint angular velocities from multi-channel surface electromyogram (sEMG) signals. This method uses a selective desensitization neural network (SDNN) as a function approximator that learns the relation between integrated sEMG signals and instantaneous joint angular velocities. A comparison experiment with a(More)
Total ion yield spectrum of perfluorocyclobutane (c-C(4)F(8)) has been measured in the C and F K-shell excitation regions. The peak assignments are presented based on angle-resolved photofragment ion mass spectrometry. The peaks at 291.34 and 688.5 eV are found to come from the transitions from the C 1s and the F 1s to the lowest unoccupied b(2)σ(CF)*(More)