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Emotion recognition from speech using global and local prosodic features.

, , and . I. J. Speech Technology, 16 (2): 143-160 (2013)

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Real Life Emotion Classification from Speech Using Gaussian Mixture Models., , , and . IC3, volume 306 of Communications in Computer and Information Science, page 250-261. Springer, (2012)Automatic Phonetic Transcription for read, extempore and conversation speech for an Indian language: Bengali., and . NCC, page 1-6. IEEE, (2014)Exploring Speech Features for Classifying Emotions along Valence Dimension., and . PReMI, volume 5909 of Lecture Notes in Computer Science, page 537-542. Springer, (2009)VOP Detection for Read and Conversation Speech using CWT Coefficients and Phone Boundaries., and . CoRR, (2019)DNN-based cross-lingual voice conversion using Bottleneck Features., and . CoRR, (2019)Significance of utterance partitioning in GMM-SVM based speaker verification in varying background environment., and . O-COCOSDA/CASLRE, page 1-5. IEEE, (2013)Development of phonetic engine for Indian languages: Bengali and Oriya., , and . O-COCOSDA/CASLRE, page 1-6. IEEE, (2013)Optimal residual frame based source modeling for HMM-based speech synthesis., and . ICAPR, page 1-5. IEEE, (2015)Recognition of emotions from video using acoustic and facial features., and . Signal Image Video Process., 9 (5): 1029-1045 (2015)Development of syllable-based text to speech synthesis system in Bengali., , , , and . Int. J. Speech Technol., 14 (3): 167 (2011)