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Concept
Low Frame Rate
Low frame rate is the simplest algorithm for subsampling. For time the acoustic feature vector and the two prior vectors and are stacked (concatenated). This makes a new vector which is three times longer, following which and are deleted. Therefore, we end. up with a higher-dimensional vector with a shorter sequence length . For example, instead of a 40-dimensional acoustic feature vector every 10 ms, we would get a longer vector (say 120-dimensional) every 30 ms.
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Updated 2022-05-08
Tags
Deep Learning (in Machine learning)
Data Science