ABSTRACT
There are many ways of communication but the speech signal
is one of the fastest and most natural methods of
communications between humans. Therefore the speech can
be the fast and efficient method of interaction between human
and machine also. Humans have the natural ability to use
all their available senses for maximum awareness of the
received message. Through all the available senses people
actually sense the emotional state of their communication
partner. The emotional detection is natural for humans but it
is very difficult task for machine. Therefore the purpose of
emotion recognition system is to use emotion related
knowledge in such a way that human machine
communication will be improved. Emotion recognition from the speaker‟s speech is very difficult because of the following reasons: In differentiating between various emotions which particular speech features are more useful is not clear. Because of the existence of the different sentences, speakers, speaking styles, speaking rates accosting variability was introduced, because of which speech features get directly affected. The same utterance may show different emotions. Each emotion may correspond to the different portions of the spoken utterance. Therefore it is very difficult to differentiate these portions of utterance. Another problem is that emotion expression is depending on the speaker and his or her culture and environment. As the culture and environment gets change the speaking style also gets change, which is another challenge in front of the speech emotion recognition system. There may be two or more types of emotions, long term emotion and transient one, so it is not clear which type of emotion the recognizer will detect.
PROJECT OUTPUT
PROJECT VIDEO
Contact:
Mr. Roshan P. Helonde
Mobile: +91-7276355704
WhatsApp: +91-7276355704
Email: roshanphelonde@rediffmail.com
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