Speech Parameters Characterization Using Data Mining Techniques

Speech has many parameters such as pitch, energy, Noise, Change in speaking rate, Change in articulation. Speech is also of two type i.e. voiced speech and unvoiced speech. Voiced speech has high frequency as compared to the unvoiced speech. Many algorithms can be used to extract features of the speech. Here we use LPC ( Linear predictive coding ) method to extract the features of speech. The aim of this report is to show the difference between the feature of the child speech and adult speech. We also synthesize the speech by removing the unvoiced speech from the original speech by removing the low frequency speech from high frequency speech.  This research is focused on implementing and studying Linear Predictive Coding (LPC) algorithm.