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Kannada Emotional Speech Database: Design, Development and Evaluation

Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 14)

Abstract

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.

Keywords

KES MOS K-NN LVQ 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

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

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