HMM-Based Speech Synthesis
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2013, Vol 3, Issue 4
Abstract
This paper describes a approach to text-to-speech synthesis (TTS) based on HMM. In the proposing approach,speech spectral parameter sequences are generated from HMMs directly based on maximum likelihood criterion. By considering relationship between static and dynamic features during parameter generation, smooth spectral sequences aregenerated according to the statistics of static and dynamic parameters modelled by HMMs, resulting in natural sounding speech. In this paper, first, the algorithm for parameter generation is derived, and then the basic structure of an HMM based TTS system is described. Results of subjective experiments show the effectiveness of dynamic feature.
Authors and Affiliations
Smita Chopde
Keywords
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