Emotion Recognition from the Human Voice

Abstract

Speech is the most important communication tool between humans and is thousands of years old. As known human voice is a biometric feature like fingerprint and carries the emotional state of the speaker. Therefore, speech data acquired from live talks may have more realistic emotional features than textual data. In this work, we will try to determine whether a speaker independent speech is angry, neutral, happy or sad.