This paper is published in Volume-5, Issue-2, 2019
Area
Computer Science Engineering
Author
Kunal Kapoor, Lokesh Kumar, Kshitiz Sagar Verma, Kunal Sehgal
Org/Univ
Chitkara University Institute of Engineering and Technology, Patiala, Punjab, India
Pub. Date
26 April, 2019
Paper ID
V5I2-2108
Publisher
Keywords
Artificial Intelligence, Machine learning, Speech recognition, Speech features, Speech intensity, Pitch

Citationsacebook

IEEE
Kunal Kapoor, Lokesh Kumar, Kshitiz Sagar Verma, Kunal Sehgal. Feature extraction in emotion recognition: An analysis of emotion using Praat, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Kunal Kapoor, Lokesh Kumar, Kshitiz Sagar Verma, Kunal Sehgal (2019). Feature extraction in emotion recognition: An analysis of emotion using Praat. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.

MLA
Kunal Kapoor, Lokesh Kumar, Kshitiz Sagar Verma, Kunal Sehgal. "Feature extraction in emotion recognition: An analysis of emotion using Praat." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.

Abstract

Machine learning is being used to help robots to detect human emotions. Speech is an important tool to recognize emotion. It has been observed after reading different research papers from different researchers that pitch and intensity are major features to detect the emotion of sound. Consequently, the present research study is oriented towards discussing aspects pertaining to emotion recognition using speech. This paper presents the illustration of emotions that can be recognized by the speech of a person. Future research will be focused on enhancing features like energy, frequency, and amplitude of a speech.