Salīdzināt metodes

	Cepstrālā analīze	Runas saprotamība
Nozare	Akustika	Akustika
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	1963	1980
Autors	Bogert, Healy, Tukey	Herman Steeneken, Tammo Houtgast
Tips	Spectral decomposition method	Speech clarity assessment method
Pirmavots	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.
Citi nosaukumi	cepstrum, MFCC, mel-frequency cepstral coefficients, spectral analysis	intelligibility metrics, STI, Speech Transmission Index, clarity index
Saistītās	5	5
Kopsavilkums	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.