방법 비교

	Linear Predictive Coding	Bark 및 Mel 스케일
분야	음향학	음향학
계열	Process / pipeline	Process / pipeline
기원 연도	1975	1937
창시자	Freddy Burg, John Makhoul	Eberhard Zwicker, Stanley Smith Stevens
유형	Predictive speech coding and analysis	Perceptual frequency mapping
원전	Makhoul, J. (1975). Linear prediction: A tutorial review. Proceedings of the IEEE, 63(4), 561–580.	Zwicker, E. (1961). Subdivision of the audible frequency range into critical bands. Journal of the Acoustical Society of America, 33(2), 248–248.
별칭	LPC, autoregressive model, speech prediction, vocal tract modeling	bark scale, mel scale, critical bandwidth, perceptual frequency
관련	5	5
요약	Linear Predictive Coding (LPC) is a powerful signal processing technique for modeling and compressing speech by assuming each speech sample can be predicted from a linear combination of previous samples. Pioneered by Burg and Makhoul in the 1970s, LPC is the foundation of speech codecs, speech synthesis, speaker recognition, and speech enhancement. LPC exploits the time-correlated structure of speech to achieve high compression ratios and enable efficient parameter extraction.	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.