A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2014; you can also visit the original URL.
The file type is
This paper presents a new spectral modeling method for statistical parametric speech synthesis. In contrast to the conventional methods in which high-level spectral parameters, such as mel-cepstra or line spectral pairs, are adopted as the features for hidden Markov model (HMM) based parametric speech synthesis, our new method directly models the distribution of the lower-level, un-transformed or raw spectral envelopes. Instead of using single Gaussian distributions, we adopt restricteddoi:10.1109/icassp.2013.6639187 dblp:conf/icassp/LingDY13 fatcat:vuji3afqlrgmtfsuluischwilm