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Audio Synthesis - michaelkrzyzaniak.com
https://michaelkrzyzaniak.com/AudioSynthesis/2_Audio_Synthesis/8_Interpolation/2_Cubic_Spline/#:~:text=Explanation%20of%20the%20Concepts%20This%20is%20a%20cubic,some%20sort%20of%20curve%20between%20the%20known%20sample-points.
How do you do bicubic (or other non-linear) interpolation ...
https://stackoverflow.com/questions/1125666/how-do-you-do-bicubic-or-other-non-linear-interpolation-of-re-sampled-audio-da
Honestly, cubic interpolation isn't generally much better for audio than linear. A simple suggestion for improving your linear interpolation would be to use an antialiasing filter (before or after the interpolation, depending on whether you are …
How to do cubic interpolation with an audio sample?
https://forums.codeguru.com/showthread.php?473996-How-to-do-cubic-interpolation-with-an-audio-sample
Re: How to do cubic interpolation with an audio sample? I didn't look at your code in detail but the two plots look virtually identical except for the x-axis. That indicates to me that your code is correct, but it also indicates that the 'clank' noises would be in your source data before the cubic interpolation.
Multi-channel audio upsampling interpolation - Signal ...
https://dsp.stackexchange.com/questions/58032/multi-channel-audio-upsampling-interpolation
Does cubic interpolation (or any other) have any advantages over linear for the specific case of audio? You'd use neither for audio. The reason is simple: The signal models you typically assume for audio signals are very "Fourier-y", to say, they assume that sound is composed of weighted harmonic oscillations, and bandlimited in its nature.
Alpha-II - Programming Information: Audio Interpolation
https://alpha-ii.com/Info/AudioInt.html
applied to audio by using the samples as points on a plane. Though cubic interpolation is a better method than linear, it still doesn't completely reconstruct the wave. Peaks that are lost between samples during digitizing are lost permanantly. I hope that makes audio interpolation more clear.
Upsampling and Interpolation - Department of …
https://www.cs.toronto.edu/~guerzhoy/320/lec/upsampling.pdf
bilinear interpolation Cubic reconstruction filter. Upsampling • The empty pixels are initially set to 0 • Convolve with a (Gaussian, or another) filter • If the filter sums to 1, multiply the result by 4 • ¾ of the new image was initially 0. Image interpolation
Interpolation methods - Paul Bourke
http://www.paulbourke.net/miscellaneous/interpolation/
Cubic interpolation is the simplest method that offers true continuity between the segments. As such it requires more than just the two endpoints of …
Audio Super Resolution - GitHub Pages
https://kuleshov.github.io/audio-super-res/
Audio Super Resolution with Neural Networks. We train neural networks to impute new time-domain samples in an audio signal; this is similar to the image super-resolution problem, where individual audio samples are analogous to pixels. For example, in the adjacent figure, we observe the blue audio samples, and we want to "fill-in" the white ...
Audio Synthesis - michaelkrzyzaniak.com
https://michaelkrzyzaniak.com/AudioSynthesis/2_Audio_Synthesis/8_Interpolation/2_Cubic_Spline/
This is a cubic interpolation algorithm that is capable of stretching out or contracting a buffer of interleaved audio data. In general, linear interpolation is somewhat inelegant, and a somewhat higher-fidelity result can be achieved by attempting to draw some sort of curve between the known sample-points. y=ax^3 + bx^2 + cx + d
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