Masuzo Yanagida

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In a previous article, an evaluation of several objective quality measures as predictors of recognition rate after application of a blind source separation algorithm was reported. In this work, the experiments were repeated using some new measures, based on the perceptual evaluation of speech quality (PESQ), which is part of the ITU P862 standard for(More)
The determination of quality of the signals obtained by blind source separation is a very important subject for development and evaluation of such algorithms. When this approach is used as a pre-processing stage for automatic speech recognition, the quality measure of separation applied for assessment should be related to the recognition rates of the(More)
An automatic translation quality evaluation method is proposed. In the proposed method, a parallel corpus is used to query translation answer candidates. The translation output is evaluated by measuring the similarity between the translation output and translation answer candidates with DP matching. This method evaluates a language translation subsystem of(More)
Music performance and speech production require neural circuits to integrate auditory information and motor commands to achieve rapid and accurate control of sound properties. This article proposes a novel approach for investigating neural substrates related to audiomotor integration. An experiment examined the brain activities involved in sensorimotor(More)
Blind separation of convolutive mixtures is a very complicated task that has applications in many fields of speech and audio processing, such as hearing aids and man-machine interfaces. One of the proposed solutions is the frequency-domain independent component analysis. The main disadvantage of this method is the presence of permutation ambiguities among(More)
An automatic selection method for an integrated multiple MT system is proposed. This method employs a machine learning approach to build an automatic MT selector. The selector learns based on the parameters of MT systems and the evaluation result provided by a human evaluator. An experiment is conducted on two MT systems developed in our laboratories.(More)