Cepstrum Analysis of Speech Signals
Perform cepstral analysis on speech signals to generate signal waveforms and cepstrum graphs with MATLAB implementation details
Cepstrum Analysis: Inverse Fourier Transform of Logarithmic Short-Time Amplitude Spectrum
Cepstrum analysis refers to the inverse Fourier transform of the logarithmic short-time amplitude spectrum of a signal, characterized by its ability to approximately separate and extract spectral envelope information and fine structural details. Implementation typically involves windowed signal segmentation, FFT computation, logarithmic scaling, and inverse FFT operations.
Cepstral Analysis of Speech Signals
Performing cepstral analysis on speech signals to examine their spectral magnitude characteristics
Cepstrum Separates Spectral Envelope and Fundamental Frequency Spectrum
When multiple signals are superimposed, cepstrum analysis can detect their fundamental frequencies. While primarily used in homomorphic filtering for signal deconvolution, cepstrum analysis - particularly for voice signals - effectively separates spectral envelopes from fundamental frequency spectra. Implementations typically involve Fourier transforms, logarithmic operations, and inverse transforms to extract vocal tract characteristics and excitation components.