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We propose a new excitation source signal for VOCODERs and an all-passimpulse response for post-processing of synthetic sounds and pre-processing ofnatural sounds for data-augmentation. The proposed signals are variants ofvelvet noise, which is a sparse discrete signal consisting of a few non-zero (1or -1) elements and sounds smoother than Gaussian white noise. One of theproposed variants, FVN (Frequency domain Velvet Noise) applies the procedure togenerate a velvet noise on the cyclic frequency domain of DFT (Discrete FourierTransform). Then, by smoothing the generated signal to design the phase of anall-pass filter followed by inverse Fourier transform yields the proposed FVN.Temporally variable frequency weighted mixing of FVN generated by frozen andshuffled random number provides a unified excitation signal which can span fromrandom noise to a repetitive pulse train. The other variant, which is anall-pass impulse response, significantly reduces "buzzy" impression of VOCODERoutput by filtering. Finally, we will discuss applications of the proposedsignal for watermarking and psychoacoustic research.

Frequency domain variants of velvet noise and their application to speech processing and synthesis: with appendices