Development of Standard Speech Database in Marathi Language for Emotion Recognition System

Authors

  • Shinde AR School of computational sciences, Solapur University, Solapur,India
  • Agnihotri PP School of Technology S.R.T.M.U.N. Sub-Capmus Latur, India
  • Khanale PB Dnynopasak College, Parbhani, India

Keywords:

Emotion Recognition, Marathi speech, HCI, Biometric

Abstract

The biometrics a trading technology to recognize a person based on the physiological or behavioral characteristics. Emotion Recognition system is a part of Human Computer Interaction. The database has been developed to recognize the emotions of human based on speech trait. While recording speech samples different Marathi words and phrases were considered. These words were very useful to identify the emotions of human being. The emotions such as happy, sad, surprise, angry, disgust, fear and neutral were recorded. In the proposed work seven basic emotions were considered such as happy, sad, angry, surprise, fear, disgust, and neutral. According to this, the words like “Are deva”, “Aare re”, “kiti chan”, “Mast”, “Gapre”, “khatarnak” etc. were used to decide what kind of emotion that human being gave through speech. There were total of 50 speakers out of which 25 male and 25 female speakers were recorded. . In this paper for each emotion four Marathi emotional words were recorded. In this way there were total 28 words by One speaker and total 1400 words (emotional words/phrases) recorded by 50 speakers including male and female speaker were recorded. This paper discusses about the development of Speech database developed at School of Computational Sciences, Solapur University, Solapur.

References

Mina Hamidi, Maharram Mansoorizade, “Emotion Recognition from Persian Speech with neural network”, International Journal of Artificial Intelligence & Applications (IJAIA), Vol.3, No.5, Sept.2012.

Bhoomika Panda, Debananda Padhi, Kashamamayee Dash, Prof. Sanghamitra Mohanty, “Use of SVM Classifier & MFCC in Speech Emotion Recognition System”, International Journl of Advanced Research in

Computer Science and Software Engineering, Vol.2, Issue 3, March 2012, ISSN: 2277-128X.

Mina Hamidi, Maharram Mansoorizade, “Emotion Recognition from Persian Speech with neural network”, International Journal of Artificial Intelligence & Applications (IJAIA), Vol.3, No.5, Sept.2012.

Thurid Vogt, Elisabeth Andr´e, and Johanne Wagner,” Automatic Recognition of Emotions from Speech: A Review of the Literature and Recommendations for Practical Realisation”,” Affect and Emotion in HCI, LNCS 4868, Pp. 75–91, 2008. Springer-Verlag Berlin Heidelberg

Donn Morrison, Ruili Wang , Liyanage C. De Silva,” Ensemble methods for spoken emotion recognition in call-centres”, Speech Communication 49 (2007) 98–112.

Yixiong Pan, Peipei Shen and Liping Shen, “Speech Emotion Recognition Using Suppor Vector Machine”, International Journal of Smart Home Vol. 6, No. 2, April, 2012.

Giovanni Costantini, Iacopo Iadarola, Andrea Paoloni, Massimiliano Todisco, “EMOVO Corpus: an Italian Emotional Speech Database”

Julien Epps, Roddy Cowie, Shrikanth Narayanan, Björn Schuller and Jianhua Tao,” Emotion and mental state recognition from speech”, Epps et al. EURASIP Journal on Advances in Signal Processing 2012, 2012:15.

Mina Hamidiand Muharram Mansoorizade,” emotion recognition from persian speech with neural network”, “International Journal of Artificial Intelligence & Applications (IJAIA)”, Vol.3, No.5, September 2012.

Sharad B. Jadhav, Shriram D. Raut, Rajivkumar S. Mente, Ashok R. Shinde, “A Research on Contactless Palm print Recognition System”, International Journal of Research in Computer Science and Information Technology, Vol 02, issue 2, Pp. 45-48, ISSN: 2319-5010, March 2014.

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Published

2014-12-31

How to Cite

[1]
A. Shinde, P. Agnihotri, and P. Khanale, “Development of Standard Speech Database in Marathi Language for Emotion Recognition System”, Int. J. Comp. Sci. Eng., vol. 2, no. 12, pp. 47–50, Dec. 2014.

Issue

Section

Research Article