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Low Frame Rate

Low frame rate is the simplest algorithm for subsampling. For time ii the acoustic feature vector fif_i and the two prior vectors fi1f_{i-1} and fi2f_{i-2} are stacked (concatenated). This makes a new vector which is three times longer, following which fi1f_{i-1} and fi2f_{i-2} are deleted. Therefore, we end. up with a higher-dimensional vector with a shorter sequence length n=t3n = \frac{t}{3}. 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

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Deep Learning (in Machine learning)

Data Science

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