So sánh phương pháp

	Phân tích Cepstrum	Che chắn âm học tâm lý
Lĩnh vực	Âm học	Âm học
Họ	Process / pipeline	Process / pipeline
Năm ra đời	1963	1961
Người khởi xướng	Bogert, Healy, Tukey	Eberhard Zwicker
Loại	Spectral decomposition method	Perceptual model for audio systems
Công trình gốc	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., & Scharf, B. (1965). Psychoacoustics: Facts and Models. Springer-Verlag. ISBN: 978-3540631644
Tên gọi khác	cepstrum, MFCC, mel-frequency cepstral coefficients, spectral analysis	masking, temporal masking, frequency masking, auditory masking
Liên quan	5	5
Tóm tắt	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.	Psychoacoustic masking describes how the human auditory system suppresses the perception of weak sounds in the presence of stronger sounds. Formalized by Eberhard Zwicker in the 1960s, masking is a fundamental phenomenon in hearing and the basis for perceptual audio coding (MP3, AAC, OPUS). Masking occurs both in frequency (spectral masking) and time (temporal masking), and understanding these effects enables efficient audio compression and realistic sound design.