Majid Namnabat

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Construction of letter to sound (LTS) conversion systems in Farsi language is a difficult task, and because of the omission of some vowels in Farsi orthography, these systems in general have low efficiencies. In this paper, the structure of a letter to sound system, having a three-layers architecture, has been presented. The first layer is rule-based, and(More)
High accuracy phonetic segmentation is critical to achieve good quality in concatenative speech synthesis. However, the processing and inspection of a large amount of recorded speech will become a labor-intensive and error-prone job. In this paper, a post-refining method based on support vector machines (SVMs), is proposed for auto-segmentation of speech(More)
In recent years, the unit selection-based concatenative speech synthesis method using a large corpus has attracted great attention. This method provides more natural quality speech compared to the parameter driven methods. The Formant Synthesis, HNM method and use of MLSA filter are the prevalent methods for synthesizing Farsi speech. In this paper, we(More)
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