Multiple Emotion Recognition from a Speech Utterance using Deep Neural Architectures

Speech is the most simplest way of communication among the humans. This is an inspiration to carry a lot of research in this area. In spite of tremendous research in emotional speech processing, the ability of the algorithms is poor since they are unable to model different emotions of the speaker. Emotion processing from speech signal is a challenging research domain. Speech emotion recognition systems have many practical applications: in call centers to scrutinizing the state of the attendants while responding to their customers will make better service quality. They are used in on-board driving system, which collects the data about the emotional state of the driver to prevent accidents.