  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. While there are
established methods for time-stretching sines and transients with high quality,
the manipulation of noise or residual components has lacked robust solutions in
prior research. The proposed method combines sound decomposition with previous
techniques for audio spectral resynthesis. The time-stretched noise component
is achieved by morphing its time-interpolated spectral magnitude with a
white-noise excitation signal. This method stands out for its simplicity,
efficiency, and audio quality. The results of a subjective experiment affirm
the superiority of this approach over current state-of-the-art methods across
all evaluated stretch factors. The proposed technique notably excels in extreme
stretching scenarios, signifying a substantial elevation in performance. The
proposed method holds promise for a wide range of applications in slow-motion
media content, such as music or sports video production.
