Spectral Mapping using linear Predictive Synthesis Methods for Voice Conversion

The objective of voice conversion algorithm is to modify the speech by a particular source speaker so that it sounds as if spoken by a different target speaker. Speech signal is produced by the convolution of excitation and time varying vocal tract system components. These excitation and vocal tract components must be separated from the available speech signal to study these components independently. For deconvolving the given speech into excitation and vocal tract system components, methods based on homomorphic analysis like cepstral analysis are developed. As the cepstral analysis does the deconvolution of speech into source and system components by traversing through frequency domain, the deconvolution task becomes computational intensive process. To reduce such type of computational complexity the Linear Prediction Analysis is developed. The primary objective of prediction analysis is to compute the coefficients which minimize the prediction error.