Masaru Yamashita

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In this paper, we have proposed a novel classification procedure for distinguishing between normal respiratory and abnormal respiratory sounds based on a maximum likelihood approach using hidden Markov models. We have assumed that each inspiratory/expiratory period consists of a time sequence of characteristic acoustic segments. The classification procedure(More)
In this paper, we propose a robust classification strategy for distinguishing between a healthy subject and a patient with pulmonary emphysema on the basis of lung sounds. A symptom of pulmonary emphysema is that almost all lung sounds include some abnormal (i.e., adventitious) sounds. However, the great variety of possible adventitious sounds and noises at(More)
This paper proposes an emotion clustering procedure for emotion detection in infants' cries. Our clustering procedure is performed using the results of subjective opinion tests regarding the emotions expressed in infants' cries. Through the procedure, we obtain a tree data structure of emotion clusters that are generated by the progressive merging of(More)
OBJECTIVES/HYPOTHESIS Most cases of chronic otitis media (OMC) are associated with poor development of the mastoid air cells (MACs) and poor Eustachian tube (ET) function. We have previously reported that MAC regeneration can effectively eliminate intractable OMC. In this study, we assessed the ability of regenerated MACs to restore normal gas exchange(More)
In this paper, we propose a novel method for distinguishing between normal lung sounds from healthy subjects and abnormal lung sounds containing adventitious sounds from patients. The spectral similarity of adventitious sounds and noises at auscultation makes it difficult to obtain a high accuracy of the abovementioned classification. However, there is a(More)
Mouse experimental models are commonly utilized tools in biomedical research but remain underrepresented in vocal fold biology, presumably due to the small size of the larynx and limited description of the anatomical, cellular and extracellular composition of the vocal folds. In this study, we provide a whole-mount serial section-based histological(More)
This paper describes the effect of three new acoustic feature parameters to detect audio source segments that are based on spectral cross-correlation: spectral stability, white noise similarity, and sound spectral shape. These parameters are devised for accurate audio source detection and are used in a pre-processing module for automatic indexing of the(More)