The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
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...
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...
In this paper, we present a new voice conversion method based on the state-space model (SSM). A modified version of the conventional SSM model is first proposed to describe the relationship between the source speech and the target speech in the spectral domain. Then the expectation maximum (EM) and variational Bayesian (VB) algorithms are individually employed to estimate the SSM parameters, resulting...
This paper presents a novel voice morphing system which reproduces high quality speech while maintaining the majority of the target characteristics. Bi-GMM is named for using GMM technique to estimate mapping functions as well as a codebook generated by GMM either. Compared with the traditional GMM technique, a maximum likelihood estimation framework combined with codebook compensation technique is...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.