I've trained a speech recognition model using the LibriSpeech database which isn't as widely used as other datasets like TIMIT or MNIST. Does that factor in any way or can I publish the results irrespective of what dataset I use?

The reason I ask this is, if we only use datasets like TIMIT, models could be made to overfit those datasets for greater accuracy.

Is there a thing such as standard datasets in speech recognition?

Or else, which are some other easily available speech datasets for multiple languages?

1 Answer 1


The advantage of using a standard dataset is that it allows direct comparison of results and performance. In essence, standard datasets allow benchmarking by providing a common, accepted measure. That said, I don't imagine any journal editor or reviewer would scoff if you included results of a different dataset in addition to the standard ones in your discipline.

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Not the answer you're looking for? Browse other questions tagged or ask your own question.