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Recognition of Marathi Isolated Spoken Words Using Interpolation and DTW Techniques

  • Ganesh B. Janvale
  • Vishal Waghmare
  • Vijay Kale
  • Ajit Ghodke
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 248)

Abstract

This paper contains a Marathi speech database and isolated Marathi spoken words recognition system based on Mel-frequency cepstral coefficient (MFCC), optimal alignment using interpolation and dynamic time warping. Initially, Marathi speech database was designed and developed though Computerized Speech Laboratory. The database contained Marathi isolated words spoken by the 50 speakers including males and females. Mel-frequency Cepstral Coefficients were extracted and used for the recognition purpose. The 100% recognition rate for the isolated words have been achieved for both interpolation and dynamic time warping techniques.

Keywords

Speech Data base CSL MFCC Speech Recognition and statistical method formatting 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Ganesh B. Janvale
    • 1
  • Vishal Waghmare
    • 2
  • Vijay Kale
    • 2
  • Ajit Ghodke
    • 3
  1. 1.Symbiosis Centre for Information TechnologySymbiosis International UniversityPuneIndia
  2. 2.Dept. of CS&ITDr. Babasaheb Ambedkar Marathwada UniversityAurangabadIndia
  3. 3.Sinhgad Institute of Business Administration & Computer Application (SIBACA)LonavalaIndia

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