IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-41862-5_8.html
   My bibliography  Save this book chapter

Emotions Recognition from Spoken Marathi Speech Using LPC and PCA Technique

In: New Trends in Computational Vision and Bio-inspired Computing

Author

Listed:
  • V. B. Waghmare

    (Vivekanand College, Department of Computer Science)

  • R. R. Deshmukh

    (Dr. B.A.M. University, Department of Computer Science)

  • G. B. Janvale

    (MGM’s Institute of Biosciences and Technology)

Abstract

Amid late years, the field of emotion classification of Speech signals has been picking up a huge consideration and a few systems have been built by various scientists for acknowledgment of human feelings in talked articulations with their local voice correspondence. This paper depicts a test which exhibits the acknowledgment of simulated human emotions from an artificial Marathi emotional speech database. The database comprises of the information tests that were gathered from five Marathi emotion pictures (Actors and Actress voice) recreated the feelings creating the Marathi expressions which could be utilized as a part of regular correspondence and are interpretable in every single connected feeling. The discourse tests were recognized by the different circumstances from the films. The information tests were classified in five fundamental classifications that are Happy, Sad, Anger, Afraid and Surprise. Our point is to explore three fundamental feelings. The Study explores Linear Predictive Coding (LPC) model for speech signal production based on the supposition that the speech signal is produced by a very precise model for emotion recognition.

Suggested Citation

  • V. B. Waghmare & R. R. Deshmukh & G. B. Janvale, 2020. "Emotions Recognition from Spoken Marathi Speech Using LPC and PCA Technique," Springer Books, in: S. Smys & Abdullah M. Iliyasu & Robert Bestak & Fuqian Shi (ed.), New Trends in Computational Vision and Bio-inspired Computing, pages 81-88, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-41862-5_8
    DOI: 10.1007/978-3-030-41862-5_8
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-030-41862-5_8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.