Harmonic plus noise model based speech synthesis for hindi

In recent years speech synthesis has comes out with great prominence. There are two approaches to generate synthetic speech: waveform based and parameter based. Waveform based approach uses pre-recorded sentences of speech and plays a part of these sentences in a prescribed sequence for generating the desired speech output. Harmonic plus noise model (HNM) is a variant of parameter based approach. In parameter based approach synthetic speech is generated using parameters, there is no need of the recorded wav or raw files. Harmonic plus noise model divides the spectrum of the speech into two sub-bands, one is modeled with harmonics of the fundamental frequency and the other is synthesized using random noise. Maximum voiced frequency is used to discriminate between harmonics and noise part. harmonics and noise are also known as periodic and non-periodic parts.