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A person's speech can be altered by various changes in the autonomic nervous system and effective technologies can process this information to recognize emotion. As an example, speech produced in a state of fear, anger, or joy becomes loud and fast, with a higher and wider range in pitch, whereas emotions such as sadness or tiredness generate slow and low-pitched speech. Detection of human emotions through voice-pattern and speech-pattern analysis has many applications such as better assistingdoi:10.26483/ijarcs.v10i6.6489 fatcat:pbc5qb5c3ff4vj4k75mqbam4hm