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Voice Personalization. For a given text in any language or… | by Sangramsing Kayte | Jul, 2021
The language characteristics derived from a certain text are mapped on acoustic features via a GANs-based TTS system.The features of the linguistic input include binary answers to linguistic context questions and numerical values, such as the number of words in the current sentence, the position of the current syllable in the word, and the length of the current phoneme.The acoustic features consist of melted cepstral coefficients and exciting parameters and of the basic frequency. The neural network parameters can be trained by using the input and output pairs derived from a training data set. Finally, a WORLD vocoder is used to synthesize speech from the acousticfeatures. The proposed model consists of two components as follow:Emotional Analysis Module:-The goal of this module is the diff...



