Short-Term Analysis of Speech Signals

Short-term analysis of speech signals includes key components such as frame splitting, short-term energy, short-term average magnitude, short-term zero-crossing rate, short-term autocorrelation function, short-term magnitude difference, cepstrum, complex cepstrum, LPC coefficients, and LPC spectral estimation. These fundamental programs assigned by my supervisor after securing postgraduate admission ensure absolute quality through robust implementation.