Harmonic Plus Noise Model Based Speech Synthesis for Hindi

摘要

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 pre scribed sequence for generating the desired speech out put. Harmonic plus noise model (HNM) is a variant of parameter based approach. In parameter based ap proach synthetic speech is generated using parameters, there is no need of the recorded wav or raw files. Har monic plus noise model divides the spectrum of the speech into two sub-bands, one is modeled with har monics of the fundamental frequency and the other is synthesized using random noise. Maximum voiced fre quency is used to discriminate between harmonics and noise part. harmonics and noise are also known as pe riodic and non-periodic parts.