Paper Contents
Abstract
The speech emotion recognition system as a set of methodologies that process and classify speech signals to detect the emotions embedded in them. In this study, we set out to detect basic emotions in recorded speech by analysing the acoustic properties of the audio data of the recordings. Emotions are an integral part of human behaviour and inherited characteristics as a way of communication. We humans are well trained because your reading experience recognizes different emotions which make us more reasonable and understandable. But only in the case of a machine, it can easily understand content-based information such as information in text, audio or video, but it is still far behind in accessing the depth of content. There are three classes of features during speech, namely lexical features (vocabulary used), visual features (expressions the speaker makes) and thus acoustic features.
Copyright
Copyright © 2024 Prajkta zanje. This is an open access article distributed under the Creative Commons Attribution License.
