input for RNN (LSTM) when using MEL-coefficients for speech recognition

[mlpack]

input for RNN (LSTM) when using MEL-coefficients for speech recognition

[rcurtin]

Hi @InterTriplete2010, sorry for the slow response on this one! I believe that the shape that you are looking for will be an arma::cube of 20 rows x 2000 columns x 50 slices. That is, each row represents a dimension of a single sample. So in your case you say that there are 20 Mel coefficients in each sample. Thus, you would have 20 rows. Each column should represent a sequence/audio file (just like how each column in all mlpack methods represents an observation). Then, each time step should be a slice---and based on what you wrote I think there are 50 time steps in your data.

Anyway, hopefully this clarifies the general idea. You might have to do some restructuring of your data to get it into that format. 👍

[InterTriplete2010]

Thank you 👍

[mlpack-bot]

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