Implementation and evaluation of a Greek Text To Speech System based on an Harmonic plus Noise Model

The use of text to speech (TTS) systems beyond pure scientific applications has been gaining ground and has been incorporated in everyday life aspects. Thus, the development of TTS system, that can produce synthesized speech of high quality is more than necessary in state-of-the-art everyday life applications. This paper evaluates the performance of a TTS using harmonic plus noise model (HNM) - a speech analysis/synthesis algorithm, as part of its DSP module. A TTS for the Greek language is studied with respect to its DSP module and an evaluation is presented of the HNM algorithm in terms of overall performance and the impact of its attributes on the results quality.