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AUDIO INTERPOLATION
https://www.ecse.rpi.edu/~rjradke/papers/radkeaes22.pdf#:~:text=We%20call%20our%20algorithm%20%E2%80%9Caudio%20interpolation%E2%80%9D%20as%20an,obtain%20%E2%80%9Cvirtual%20video%E2%80%9D%20that%20containsboth%20images%20and%20sound.
AUDIO INTERPOLATION
https://www.ecse.rpi.edu/~rjradke/papers/radkeaes22.pdf
Our audio interpolation algorithm decouples into two parts. First, a method based on the DUET algorithm is used to blindly associate a physical location with each time-frequency point of the mixtures based on a model of ane-choic mixing. Second, the time-frequency representa-tions of the mixtures are altered to synthesize the virtual
Alpha-II - Programming Information: Audio Interpolation
https://alpha-ii.com/Info/AudioInt.html
AudioInterpolation. Audio interpolation is a method of making digital audio sound betterthan it really is. Thesedays, almost every digital playback device (CD players*, digital receivers, sound cards, etcetera) uses interpolation to improve your listening experience. And with computers everincreasing in speed, it's now possible to use software implementations as well without …
(PDF) Audio Interpolation
https://www.researchgate.net/publication/2394632_Audio_Interpolation
interpolation techniques use two or more real views of a scene to. synthesize other, physically consistent views of the scene from the. perspectiv e of a virtual camera. By combining audio ...
COMPARISON OF INTERPOLATION ALGORITHMS IN REAL …
http://radio.feld.cvut.cz/AES/atp2002/proc/paper07.pdf
known interpolation methods and help him choose the best method to fit his needs. Interpolation Algorithms Many sound processing applications require changing sound stream sampling rate. A typical example of such an application would be a converter between two incompatible systems, like CD-audio (44 100 samples per second) and DAT (48 000 samples/s). The
DigitalAudioResamplingHomePage
https://ccrma.stanford.edu/~jos/resample/resample.pdf
Shannon’s sampling theorem says it is possible to restore an audio signal exactly from its samples, it makes sense that the best digital audio interpolators would be based on that theory. Such “ideal” interpolation is called bandlimited interpolation. A bandlimited interpolation algorithm designed along these lines is described in the theory
The current state of the art in audio signal interpolation
https://dsp.stackexchange.com/questions/1277/the-current-state-of-the-art-in-audio-signal-interpolation
Many resampling algorithms use a linear-phase low-pass filter poly-phase interpolation kernel. A minimum-phase filter interpolation kernel, as opposed to linear-phase interpolation kernel (with the same frequency response), would produce less pre-ringing during resampling to a higher sample rate, which may objectively measure as less accurate, but possibly psycho-acoustically …
Understanding Upsampling/Interpolation | Audio Science ...
https://www.audiosciencereview.com/forum/index.php?threads/understanding-upsampling-interpolation.1447/
Nothing in the process of interpolation creates more information/detail. Nothing. The algorithms (methods) used have no intelligence whatsoever as to try to guess what is supposed to be there. Instead they rely on methods that generate more pixels (image/video) or PCM samples (audio).
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