Recognition of the Tonal Words of BODO Language
Utpal Bhattacharjee
Utpal Bhattacharjee, Department of Computer Science and Engineering, Rajiv Gandhi University, Doimukh (Arunachal Pradesh), India.
Manuscript received on 21 January 2013 | Revised Manuscript received on 28 January 2013 | Manuscript published on 30 January 2013 | PP: 114-118 | Volume-1 Issue-6, January 2013 | Retrieval Number: F0446021613/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The performance of a state-of-art speech recognition system degrades considerably when the recognizers are used to recognize the tonal words. This is due to the fact that at the time of developing those recognizers, the tonal property has not been considered.Bodo is a tonal language like other Sino-Tibetan languages. In this paper we consider how current models can be modified to recognize the tonal words. Two approaches have been investigated in this paper. In the first approach attempt has been made to develop a feature level solution to the problem of tonal word recognition. In the second approach, a model level solution has been suggested. Experiments were carried out to find the relative merits and demerits of both the methods.
Keywords: Tonal Words.
Scope of the Article: Natural Language Processing