• DR LABA KR. THAKURIA
• MRS. MAMPI DEVI

Abstract : The Emotion recognition is the process of analysis the acoustic difference that occurs on uttering the text similar to the information being conveyed by the speaker under different emotional situations. We experiment on different evaluation approach to speech recognition in multilingual, in which the phone sets, area entirely distinct. The model has parameters not tied to specific states but that are shared across languages. The text-to-speech synthesis systems require an accurate prosody labels to generate natural-sounding speech. This paper presents a method based on Gaussian mixture model (GMM) classifier and Mel-frequency Cepstral Coefficients (MFCC) as features for emotion recognition from Assamese speeches. The experiments are done for the cases of (i) text-independent but speaker-dependent and (ii) text- independent and speaker-independent.

Keywords:Emotion, GMM, Assamese language

"Emotion in Speech through Assamese Language Using GMM Classifier", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.521-526, June 2019, Available :http://www.jetir.org/papers/JETIR1907M67.pdf

"Emotion in Speech through Assamese Language Using GMM Classifier", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp521-526, June 2019, Available at : http://www.jetir.org/papers/JETIR1907M67.pdf