Date Added: May 2011
Traditionally the interest in voice-gender conversion was of a more theoretical nature rather than founded in real-life applications. However, with the increase in biometric security applications, mobile and automated telephonic communication and the resulting limitation in transmission bandwidth, practical applications of gender recognition have increased many folds. In this paper, using various speech processing techniques and algorithms, two models were made, one for generating Formant values of the voice sample and the other for generating pitch value of the voice sample. These two models were to be used for extracting gender biased features, i.e., Formant 1 and Pitch Value of a speaker.