পদ্ধতির তুলনা করুন

	Linear Predictive Coding	বার্ক এবং মেল স্কেল
ক্ষেত্র	শব্দবিজ্ঞান	শব্দবিজ্ঞান
পরিবার	Process / pipeline	Process / pipeline
উদ্ভবের বছর	1975	1937
প্রবর্তক	Freddy Burg, John Makhoul	Eberhard Zwicker, Stanley Smith Stevens
ধরন	Predictive speech coding and analysis	Perceptual frequency mapping
মৌলিক উৎস	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.
অপর নাম	LPC, autoregressive model, speech prediction, vocal tract modeling	bark scale, mel scale, critical bandwidth, perceptual frequency
সম্পর্কিত	5	5
সারসংক্ষেপ	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.