Emotion analysis and speech signal processing

In recent times there have been notable advancements in the field of Automatic Speech Recognition (ASR) in terms of the technology used as well as its applications. But still the performance of ASR systems is much inferior as compared to Human Speech Recognition (HSR). One reason being that the ASR systems are not much developed when it comes to the recognition of emotions carried in the speech signal which is done involuntarily in HSR. This paper discusses the series of steps to be followed in order to analyze the speech signal for the recognition of its emotions highlighting some of the best available techniques at present for each step. The disturbances such as background noises incurred during the transmission makes speech processing complex and difficult. In this paper, we present a mechanism to perform the classification of the speech for different emotions.