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This paper proposes an effective sequential initialization for multichannel nonnegative matrix factorization to address the difficulty of initial value dependency of the conventional method. The proposed method sets initial values of parameters from those obtained for the smaller number of channels. The experimental results of music separation show that the proposed method outperforms the conventional...
The optimal parameters of noise suppression for detection of snoring activity are analyzed and we improve performance of detection of snoring activity in this paper. For detection of snoring activity, we use a Support Vector Machine which is one of machine learning. By training of grand truth and features, the SVM model is obtained. By applying test date to the SVM model, it is classified into snoring...
This study evaluates the multiple maximum length sequence (MMLS) and multiple exponential sweep (MES) methods for performing parallel measurements of multi-channel acoustic systems. The parallel measurements of multiple loudspeakers can be efficiently performed using the MMLS or MES method. Experiments were conducted to evaluate the accuracy, measurement duration, and computing time for the two methods...
While heart disease is one of the three major diseases, only well-qualified doctors can evaluate phonocardiographic signals. This calls for an easily available system that can automatically diagnose phonocardiographic signals. When recording in a room, suppression is required as these signals are heavily contaminated by noise from various sources such as air conditioners and fans. Wavelet transform...
Health promotion and maintenance is becoming increasingly important and depends on three elements: nutrition, exercise, and rest (sleep). In the present study, focusing on sleep, we develop a smartphone-based system based on snore activity detection to investigate day-to-day variations in the sleep state, which does not require dedicated hardware. Here, we analyze the number of training data required...
A multichannel extension of non-negative matrix factorization (NMF) associates the spatial property of the sources with each of the NMF bases. An initial-value selection method based on log-likelihood for multichannel non-negative matrix factorization (MNMF) is introduced to reduce the variation of the source separation performance. Experimental results showed selecting initial values that provide...
In this paper, we analyze the effects of ambient noise on snore activity detection, and consider ways to improve detection performance. A smartphone is used to obtain sleep sound data, from which the acoustic features of sound pressure level (SPL) and Mel-frequency cepstrum coefficients (MFCC) are calculated. Snore activity detection is performed by machine learning using a support vector machine...
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