Real-time voice conversion based on instantaneous harmonic parameters

The paper presents a voice conversion framework that can be used in real-time applications. The conversion technique is based on hybrid (deterministic/stochastic) parametric speech representation. The conversion approach has been tested in two modifications for narrow-band and wide-band speech signals. Though the real-time requirement adds some significant limitations (frame by frame processing) the approach provides high quality of the reconstructed speech and recognizability of the target speaker´s identity due to improved feature mapping. The proposed solution is embedded in a mobile communication system as an entertainment service.