4
$\begingroup$

In this tutorial, they build a speech recognition model to classify a one-second audio clip as one of ten predefined words. Suppose that we modified this problem as the following: Given an Arabic dataset, we aim to build a dialects recognition model to classify a two-second audio clip as one of $n$ local dialects using ten predefined sentences. I.e. for each of these ten sentences, there are $x$ different phrases and idioms which refer to the same meaning$^*$. Now how can I take advantage of the mentioned tutorial to solve the modified problem?

$*$ The $x$ different phrases and idioms for each sentence are not predefined.

Improve this question
$\endgroup$
1
  • $\begingroup$ Is my modified problem similar to this one? $\endgroup$
    – Abdulkader
    Commented Mar 9, 2019 at 9:46

1 Answer 1

Reset to default
1
$\begingroup$

The tutorials you link are not much relevant, there are already existing implementations of your exact problem.

You can use https://github.com/swshon/dialectID_e2e, there are many other similar implementations on github.

Improve this answer
$\endgroup$
2
  • $\begingroup$ Can you explain more how they are not relevant? Thank you. $\endgroup$
    – Abdulkader
    Commented Apr 13, 2019 at 21:17
  • $\begingroup$ You can use those things too, they are just not as related as the project I linked you. $\endgroup$
    – Nikolay Shmyrev
    Commented Apr 13, 2019 at 21:20

You must log in to answer this question.

Not the answer you're looking for? Browse other questions tagged .