Kannada Emotional Speech Database: Design, Development and Evaluation

  • A. GeethashreeEmail author
  • D J Ravi
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 14)


Emotion is a state of cognizant that involves sentiment and plays an important role in communication. This paper illustrates the development of Kannada Emotional Speech (KES) database and the process of its evaluation. The purpose for developing the database is for analysis of acoustic features, building an effective emotion conversion and emotion recognition system for human machine interaction. The KES database consists of acted emotional sentences in regional Kannada Language. The evaluation of database is performed using Mean Opinion Score (MOS), K-NN (K-Nearest Neighbour) and LVQ (Learning Vector Quantization) classifiers. The evaluation of basic emotions (sadness, happy, fear and anger) as well as neutral was carried out on speech samples of adult speaker (male/female) and child speaker (male/female). The emotions were recognized well above acceptance level for all the speakers.




  1. 1.
    Noad JEH, Whiteside SP, Green PD (1997) A macroscopic analysis of an emotional corpus. Eurospeech’97, pp 517–520Google Scholar
  2. 2.
    Engberg IS, Hansen AV, Andersen O, Dalsgard P (1997) Design, recording and verification of a danish emotional database. Eurospeech 97, pp 1695–1698Google Scholar
  3. 3.
    Auberge V, Audibert N, Rilliard A (2004) Acoustic morphology of expressive speech: what about contours? Proceedings of Speech Prosody 2004Google Scholar
  4. 4.
    Murray IR, Arnott JL (1996) Toward the simulation of emotion in synthetic speech: a review of the literature on human vocal emotion. J Acoust Soc Am 93(2):1097–1108CrossRefGoogle Scholar
  5. 5.
    Makarova V, Petrushin VA (2002) RUSLANA: a database of Russian Emotional Utterances. In: Proceedings of 2002 international conference on spoken language processing (ICSLP 2002), Colorado, USA, Sept 2002, pp 2041–2044Google Scholar
  6. 6.
    Hozjan V, Kacic Z, Moreno A, Bonafonte A, Nogueiras A (2002) Interface databases: design and collection of a multilingual emotional speech database. In: Proceeding of the 3rd language resources and evaluation conference, pp 2024–2028Google Scholar
  7. 7.
    Koolagudi SG, Maity S, Kumar VA, Chakrabarti S, Rao KS (2009) IITKGP-SESC: speech database for emotion analysis. Communications in Computer and Information Science, JIIT University, Noida, India: Springer. ISSN: 1865–0929 ed., 17–19 Aug 2009Google Scholar
  8. 8.
    Kramer E (1963) Judgment of personal characteristics and emotions from nonverbal properties of speech. Psychol Bull 60Google Scholar
  9. 9.
    Vroomen J, Collier R, Mozziconacci S (1993) Duration and intonation in emotional speech. Eurospeech 93:577–580Google Scholar
  10. 10.
    Cowie R, Douglas-cowie E, Tsapatsoulis N, Votsis G, Kollias S, Fellenz W, Taylar J (2001) Emotion recognition in human-computer interaction. IEEE Signal Process MagGoogle Scholar
  11. 11.
    Douglas-Cowie E, Cowie R, Schroeder M (2000) A new emotion database: considerations, sources and scope. In: Proceedings of ISCA (ITWR) workshop speech and emotion: a conceptual framework for research, Belfast, 2000, pp 39–44Google Scholar
  12. 12.
    Campbell N (2000) Database of emotional speech. In: Proceedings of ISCA ITRW on speech and emotion: developing a conceptual framework, Belfast, 2000, pp 34–39Google Scholar
  13. 13.
    Jovičić ST, Kašić Z, Đorđević MM, Vojnović M, Rajković M (2004) Serbian emotional speech database: design, processing and evaluation. In: 9th international conference speech and computer, SPECOM’2004, St. Petersburg, Russia, 2004Google Scholar
  14. 14.
    Pallavi J, Geethashree A (2014) Emotion analysis and evaluation of Kannada speech database. Int J Electron Commun Eng Technol 5(8):160–170Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Vidyavardhaka College of EngineeringMysoreIndia
  2. 2.Visvesvaraya Technological UniversityBelagaviIndia

Personalised recommendations