Implementation of Three Text to Speech Systems for Kurdish Language

Authors:
Anvar Bahrampour;Wafa Barkhoda;Bahram Zahir Azami
Affiliations:
Department of Information Technology, Islamic Azad University, Sanandaj Branch Sanandaj, Iran;Department of Computer, University of Kurdistan, Sanandaj, Iran;Department of Computer, University of Kurdistan, Sanandaj, Iran
Venue:
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Year:
2009

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Abstract

Nowadays, concatenative method is used in most modern TTS systems to produce artificial speech. The most important challenge in this method is choosing appropriate unit for creating database. This unit must warranty smoothness and high quality speech, and also, creating database for it must reasonable and inexpensive. For example, syllable, phoneme, allophone, and, diphone are appropriate units for all-purpose systems. In this paper, we implemented three synthesis systems for Kurdish language based on syllable, allophone, and diphone and compare their quality using subjective testing.