• Ram Pardakhe
• Nikki Jadhav
• Mayur Nimbarte
• Kartik Sakhare

The aim of this project is to create a more advanced software prototype that processes audio data and performs sentiment analysis on the audio file in order to track down the user’s emotions. Computation of emotions is a very challenging task, much work has been done but much more improvements are also possible as the audio data needs to be distinguished by appropriate gender and to analyze the emotion out of it accordingly.

: feature extraction,mel-frequence cepstrum,speech emotion recognittion

" Sentiment Analysis/Emotion Recognition On Voice Using Feature Extraction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.386-389, June 2019, Available :http://www.jetir.org/papers/JETIR1907J47.pdf

" Sentiment Analysis/Emotion Recognition On Voice Using Feature Extraction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp386-389, June 2019, Available at : http://www.jetir.org/papers/JETIR1907J47.pdf