Cepstrum Based Voice Transformation Using ANN
J.H.Nirmal, Suparva Patnaik and Mukesh Zaveri. Article: Cepstrum Based Voice Transformation using ANN. IJCA Proceedings on International Conference in Computational Intelligence (ICCIA 2012) ICCIA(2):13-16, March 2012. Full text available. BibTeX
@article{key:article,
author = {J.H.Nirmal and Suparva Patnaik and Mukesh Zaveri},
title = {Article: Cepstrum Based Voice Transformation using ANN},
journal = {IJCA Proceedings on International Conference in Computational Intelligence (ICCIA 2012)},
year = {2012},
volume = {ICCIA},
number = {2},
pages = {13-16},
month = {March},
note = {Full text available}
}
Abstract
The basic goal of the voice conversion system to mimics the characteristics of the target speaker voice by keeping the linguistic and paralinguistic information intact. The characteristics of a speaker in speech reflect at different level such as vocal tract, excitation and prosodic parameters. This propose work based on cepstrum which represents the vocal tract and excitation parameters of the speech. This paper proposes the decomposition of the cepstrum by wavelet and mapped the source cepstrum features in to target cepstrum features using Radial basis function neural network. The results are evaluated using subjective and objective measures based on voice quality method and the listening tests prove that the proposed algorithm converts speaker individuality while maintaining high speech quality
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