I have to write a paper on emotion recognition. More specifically on how different parameters affect the algorithms effectiveness. I have already read a lot about this and done research using OPENSmlie, (extracting mostly MFCCs) and WEKAs clasificators to get the best results. I use EMO DB.

However what i need is more theoretical knowledge, and information about already published papers on that subject. Especially newer ones, say from the last couple of years. I want to know, how peaople approach this problem, and how good their latest results are.

I was wondering if maybe there were some experts on that here. Could you recommend any good recources / links to such papers. Or an effective way of finding the latest ones?


1 Answer 1


For the latest improvements read the papers from the latest speech conferences, for example here are two tracks on Emotions in latest ICASSP:

Emotion recognition I

Emotion recognition II

You can also check reviews:

Speech emotion recognition: Features and classification models

Emotion recognition from speech: a review

Survey on speech emotion recognition: Features, classification schemes, and databases

To find the relevant research use Google Scholar.


Your Answer

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

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