Linganisha mbinu

	Uchanganuzi wa Cepstral	Uelewaji wa Hotuba
Nyanja	Akustika	Akustika
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	1963	1980
Mwanzilishi	Bogert, Healy, Tukey	Herman Steeneken, Tammo Houtgast
Aina	Spectral decomposition method	Speech clarity assessment method
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.	Steeneken, H. J., & Houtgast, T. (1980). A physical method for measuring speech-transmission quality. Journal of the Acoustical Society of America, 67(1), 318–326.
Majina mbadala	cepstrum, MFCC, mel-frequency cepstral coefficients, spectral analysis	intelligibility metrics, STI, Speech Transmission Index, clarity index
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.	Speech intelligibility is a quantitative measure of how well listeners understand spoken content in acoustic environments. Formalized by Steeneken and Houtgast in 1980 with the Speech Transmission Index (STI), intelligibility metrics combine room acoustic parameters (RT60, noise, clarity) to predict listener comprehension. Understanding speech intelligibility is essential for designing classrooms, offices, hearing aids, and public address systems where clear communication is critical.