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Based on the classic SIR model, this paper proposes a new rum or spreading model which considers the transition probability of nodes from to as a variable instead of a constant. The transition probability is related with. Then, this paper introduces a controllable variable which denotes the rate of people who are converted from susceptible ones to immune ones. This controllable variable represents...
This paper presents a novel method based on State Space Model (SSM) for voice conversion. The SSM has the ability to model the spectral parameter trajectory of speech which is desirable in voice conversion. Traditional training method for SSM is EM (Expectation Maximum) algorithm. Due to its low convergence speed, the training time is very long. Moreover increasing the spectral parameter order which...
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