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Physical stress from workload for speaker exerts limitations on his speech production in physiological system causing speech variability, and thereby reduces speech system performance. The speech under stress presents a marked difference from the speech under neural condition. The distribution for the stress samples in the feature space shows the discontinuity because of the existence of different...
In this paper, we focus on the classification of neutral and stressed speech. The parameters representing airflow patterns in physiological system are achieved using a physical model. Speech features were modeled using Gaussian Mixture Models (GMM) and Support Vector Machines (SVM). A comparison is made of different classifiers to determine their performance in stressed speech classification. Results...
Voice conversion is a technique that aims to transform the individuality of source speech so as to mimic that of target speech while keeping the message unaltered, where the Gaussian mixture model based methods are most commonly used. However, these methods suffer from over-smoothing and over-fitting problems. In our previous work, we proposed to use Gaussian processes to alleviate over-fitting. Despite...
This paper presents an interactive training platform of motor learning using movement imitation and synchronous speech instruction. This platform enables a child with autism spectrum disorder (ASD) and a robot to imitate each other. A robot can ask a child to copy its action and instruct human how to adjust his/her action to match its action. A robot can also ask a child to coach it, which is able...
In this paper, a computationally efficient voice conversion system has been designed in order to improve the performance in resource-limited scenarios. First, mixtures of Gaus-sians (MoGs) at fixed locations of Mel frequencies have been used to represent the spectrum of STRAIGHT compactly. Second, the key conditional distributions for prediction are approximated by building histograms of aligned features...
In this study, we focus on the discontinuity of samples distribution in the feature space due to the existence of different stress levels. Some parameters from stress samples, calculated using a mathematical model, are clustered to different virtual classes according to degrees of stress. Based on different stress level cluster analysis is proposed within stress class. Experimental results illustrate...
Harmonic phase (HARP) analysis has been used in tagged magnetic resonance imaging (MRI) to measure two-dimensional (2D) in-plane motion and strain, and was recently applied in characterizing the motion of tongue during speech. The 3D-HARP method extended the HARP method to track three-dimensional (3D) cardiac motion from short- and long-axis tagged MR images by diffusing 2D in-plane motion on a sparse...
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