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Study of learner-oriented mobile learning (m-learning) instructions based on classification of student m-learning strategies has aroused much attention over the last decade. Due to the multivariate nature of students' learning strategies, traditional classification methods often fail to produce reliable classification results. In this paper, a new classification method based on Principal Component...
In this paper, an approach that combines HMM spectrum models and ANN prosody models is proposed to construct a speech synthesis system. Currently, a Mandarin corpus is used to show the feasibility of this approach. We hope that this approach can be used in other syllable prominent languages like Min-Nan and Hakka. In the training phase, DCC (discrete cepstrum coefficients) are computed for each frame...
In this paper, an ANN based spectrum-progression model (SPM) is proposed. This model is intended to improve the fluency level of synthetic Mandarin speech under the situation that only a small training corpus is available. In constructing this model, first each target syllable is matched with its reference syllable by using DTW. Then, each warped path, i.e. spectrum-progression path, is time normalized...
In this paper, the vibrato parameters of sung syllables are analyzed by using short-time Fourier transform and the method of analytic signal. After the vibrato parameter values for all training syllables are obtained, they are used to train an artificial neural network (ANN) for each type of vibrato parameter. Then, these ANN models are used to generate the values of vibrato parameters. Next, these...
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