Automatic speech processing
EE-554
Feature parametrization and statistical pattern recognition (Lecture recording Nov 9, 2023)
This page is part of the content downloaded from Feature parametrization and statistical pattern recognition (Lecture recording Nov 9, 2023) on Wednesday, 25 December 2024, 16:58. Note that some content and any files larger than 50 MB are not downloaded.
Description
access password
09.ASP+lec8$11
In this lecture, we dealt with different feature vector representation methods namely, LFCC, LPCC, MFCC and PLP CC, including estimation of temporal dynamic features. We also briefly discussed the current approach of using data-driven neural network based approaches for representation learning, namely, self supervised learning.