Modified Rule-Based Concatenative Technique for Intelligible Speech Synthesis in Indian Languages
Speech the vocalized form of human communication has achieved tremendous research outcomes today. The effort of researchers made it possible to reproduce human speech artificially by a machine. Even though most of the scientifically proficient countries are well researched in producing intelligible speech in different languages like, English, Chinese, French, etc., the benefits of the speech synthesis technology are yet to reach the socially excluded and marginalized sections in Indian languages. In this regard most of the researchers focused on the concatenative technique to achieve highly natural synthesized speech. However, the increasing database size in the concatenative technique is a bottleneck in developing a working model for different Indian languages, particularly for its use in small hand-held devices. This paper describes a novel approach to minimize the storage requirement in the concatenative technique to produces intelligible speech in different Indian languages. The results of all our experiments show the effectiveness of the proposed model for its use in small hand-held devices compared to the existing text-to-speech techniques.
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Document Type: Research Article
Publication date: February 1, 2016
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