Word Boundary Detection in Assamese Language

Authors

  • Sarma S Dept. of Computer Sc. & Engineering and IT Assam Don Bosco University Guwahati, India
  • Sharma U Dept. of Computer Sc. & Engineering and IT Assam Don Bosco University Guwahati, India

Keywords:

Word boundary detection(WBD), Hidden markov model( HMM), LPC, SOM, MLP

Abstract

Detection of word boundary in continuous speech is an important issue in speech recognition. This paper presents different methods for detecting word boundary in Assamese language and also discusses the possible future development to improve the accuracy. These methods are based on the behavior of pitch frequency across the sentences. Here we use Scilab, Praat and Wavesurfer software.

References

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Published

2015-02-28

How to Cite

[1]
S. Sarma and U. Sharma, “Word Boundary Detection in Assamese Language”, Int. J. Comp. Sci. Eng., vol. 3, no. 1, pp. 150–156, Feb. 2015.

Issue

Vol. 3 No. 1 (2015): IJCSE Special Issue February Edition

Section

Research Article

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