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Emotional Expression Detection in Spoken Language Employing Machine Learning Algorithms. (arXiv:2304.11040v1 [cs.SD])
cs.LG updates on arXiv.org arxiv.org
There are a variety of features of the human voice that can be classified as
pitch, timbre, loudness, and vocal tone. It is observed in numerous incidents
that human expresses their feelings using different vocal qualities when they
are speaking. The primary objective of this research is to recognize different
emotions of human beings such as anger, sadness, fear, neutrality, disgust,
pleasant surprise, and happiness by using several MATLAB functions namely,
spectral descriptors, periodicity, and harmonicity. To accomplish the work, …
algorithms analyze arxiv detection emotions features happiness human language machine machine learning machine learning algorithms matlab multimodal pitch research speaking spoken surprise voice work