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Noise Morphing for Audio Time Stretching
This letter introduces an innovative method to enhance the quality of audio time stretching by precisely decomposing a sound into sines, transients, and noise and by improving the processing of the latter component.
Extreme Audio Time Stretching Using Neural Synthesis
A deep neural network solution for time-scale modification (TSM) focused on large stretching factors is proposed, targeting environmental sounds.
Enhanced Fuzzy Decomposition of Sound Into Sines, Transients, and Noise
The current solutions for this three-way separation detect either horizontal and vertical structures or anisotropy and orientations in the spectrogram to identify the properties of each spectral bin and classify it as sinusoidal, transient, or noise.
