• Darshita R. Shah
• Prof. Saket J. Swarndeep

Speech processing one of the new areas for research in current generation. In spite of the fact that feeling location from discourse is a moderately new field of research and has numerous potential applications. In human computer or human-human connection frameworks, feeling acknowledgment frameworks could furnish clients with improved administrations by being versatile to their feelings. As of late takes a shot at impact location utilizing discourse and distinctive issues identified with influence discovery has been introduced. The essential difficulties of feeling acknowledgment are picking the feeling acknowledgment corpora (discourse database), recognizable proof of various highlights identified with discourse and a fitting decision of an arrangement model. Diverse sorts of strategies to gather passionate discourse information and issues identified with them are secured by this introduction alongside the past works audit. Here, we have used Mel Frequency Cepstral Coefficient (MFCC) And Hidden Markov Model(HMM) technique for proposed system to identify feature and then applied machine learning for classifying types of emotions from speech frame with improved accuracy

Speech Emotion Recognition; MFCC (Mel Frequency Cepstral Coefficient); Support Vector Mechanism (SVM).

"Human Emotion Recognition using Hybrid approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.140-148, June-2019, Available :http://www.jetir.org/papers/JETIR1906166.pdf

"Human Emotion Recognition using Hybrid approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp140-148, June-2019, Available at : http://www.jetir.org/papers/JETIR1906166.pdf