• PANKAJ PANWAR
• KUSHAGRA PANDEY
• SAURAV KUMAR

This paper proposes a framework that empowers perceiving an individual's feeling extending from sound flag enrollments. The gave goals is designed for rising the association among people and PCs, so allowing compelling human-PC clever connection. The framework is prepared to recognize six feelings (anger,neutral,disgust, dread, satisfaction, and misery) and in this manner the unbiased state. This arrangement of feeling states is wide utilized for inclination acknowledgment capacities. It conjointly recognizes one inclination versus all the inverse feasible ones, as attempted inside the anticipated numerical outcomes. A suitable feeling acknowledgment strategy is connected in the wake of separating highlights like pitch, vitality and MFCC having enthusiastic data. The execution regarding precision is appeared in result. The feature of result is that an earlier information about the sexual orientation of orator builds the execution of planned framework. planned advance has been actualized by utilizing KNN(K Nearest Neighbor ) Classification technique.

Emotion,Recognition,Feature,Gender.

"GENDER AND EMOTION RECOGNITION USING SPEECH SIGNALS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.18-22, April-2019, Available :http://www.jetir.org/papers/JETIR1904F04.pdf

"GENDER AND EMOTION RECOGNITION USING SPEECH SIGNALS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp18-22, April-2019, Available at : http://www.jetir.org/papers/JETIR1904F04.pdf