• Aas Mohammad
• Dr. Manish Madhava Tripathi

Deep learning methods have grown rapidly in the preceding one decade and have better performance than the traditional machine learning methods in many domains. Deep learning demonstrates its influential capability particular in complex multi-classes classification challenges. Models based on deep convolutional networks have subjugated current speech elucidation tasks. This paper present the variety of feeling categorization and identification systems which employ methods aiming at convalescing Human Machine associations. This paper determines them in a comparison and evocative manner. In this paper we intend to recognise and classify speech sentiments by applying deep learning algorithms. We categorize the speech of male and female according to their emotions like joyful, calm, afraid, irritated and sad.

Emotion recognition, Artificial Intelligence, Human Computer Interaction, Neural Network

"Audio Analysis And Classification Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.697-701, June 2019, Available :http://www.jetir.org/papers/JETIR1906K83.pdf

"Audio Analysis And Classification Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp697-701, June 2019, Available at : http://www.jetir.org/papers/JETIR1906K83.pdf