Linganisha mbinu

	Uchanganuzi wa Cepstral	Mizani ya Bark na Mel
Nyanja	Akustika	Akustika
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	1963	1937
Mwanzilishi	Bogert, Healy, Tukey	Eberhard Zwicker, Stanley Smith Stevens
Aina	Spectral decomposition method	Perceptual frequency mapping
Chanzo asilia	Bogert, B. P., Healy, M. J., & Tukey, J. W. (1963). The quefrency alanysis of time series for echoes: cepstrum, pseudo-autocovariance, cross-cepstrum, and saphe cracking. In Time Series Analysis Research Papers (pp. 209–243). Wiley.	Zwicker, E. (1961). Subdivision of the audible frequency range into critical bands. Journal of the Acoustical Society of America, 33(2), 248–248.
Majina mbadala	cepstrum, MFCC, mel-frequency cepstral coefficients, spectral analysis	bark scale, mel scale, critical bandwidth, perceptual frequency
Zinazohusiana	5	5
Muhtasari	Cepstral analysis is a spectral analysis technique that decomposes signals into independent components by inverting the log-magnitude spectrum. Pioneered by Bogert, Healy, and Tukey in 1963, cepstral analysis reveals periodic structure in spectra (pitch, echo patterns) and separates source excitation from filter response. Mel-frequency cepstral coefficients (MFCCs) derived from cepstral analysis are the most widely used features in automatic speech recognition, speaker verification, and audio analysis.	Bark and Mel scales are perceptual frequency scales that map physical frequency (Hz) to perceived pitch and auditory perception. Formalized by Zwicker (Bark, 1961) and Stevens (Mel, 1937), these non-linear scales reflect how the human ear processes sound. Bark scale divides hearing into 24 critical bands; Mel scale models pitch perception. Both are essential for audio feature extraction, speech processing, and designing audio systems that align with human hearing.