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| Ufinyanzi wa saikolojia× | Uchanganuzi wa Cepstral× | |
|---|---|---|
| Nyanja | Akustika | Akustika |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 1961 | 1963 |
| Mwanzilishi≠ | Eberhard Zwicker | Bogert, Healy, Tukey |
| Aina≠ | Perceptual model for audio systems | Spectral decomposition method |
| Chanzo asilia≠ | Zwicker, E., & Scharf, B. (1965). Psychoacoustics: Facts and Models. Springer-Verlag. ISBN: 978-3540631644 | 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. link ↗ |
| Majina mbadala | masking, temporal masking, frequency masking, auditory masking | cepstrum, MFCC, mel-frequency cepstral coefficients, spectral analysis |
| Zinazohusiana | 5 | 5 |
| Muhtasari≠ | 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. | 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. |
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