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Alpha-II - Programming Information: Audio Interpolation

    https://alpha-ii.com/Info/AudioInt.html
    This is what gives lower sampled audio that static sound. What interpolation does is instead of repeating each sample it creates new samples between the Thus a smoother wave form is output. can be used, but the easiest is linear …

Interpolation - Exact Audio Copy

    https://www.exactaudiocopy.de/en/index.php/overview/sound-editor/interpolation/
    Interpolation Interpolation will try to find a replacement of the waveform for small duration of audio. The waveform of the selected range will be interpolated from the audio samples left and right to the selected area. Afterwards usually any pops or other artefacts should be removed and not be audible anymore. Advertisement / Anzeige

DigitalAudioResamplingHomePage - Stanford …

    https://ccrma.stanford.edu/~jos/resample/resample.pdf
    Bandlimited interpolation of discrete-time signals is a basic tool having extensive application in digital signal processing. In general, the problem is to correctly compute signal values at arbitrary continuous times from a set of discrete-time samples of the signal amplitude. In other words, we must be able to interpolate the signal between ...

What Is the Difference Between a Sample and an Interpolation?

    https://help.songtrust.com/knowledge/what-is-the-difference-between-a-sample-and-interpolation
    While a sample is a snippet of an original song that’s been copied and pasted into an entirely new piece, an interpolation is when a recording is recreated note for note and reflects the underlying composition. For example, if you performed the melody from Lil Wayne’s “Lollipop” single within your own song, it would be considered an interpolation.

Interpolation Sampling and - New York University

    https://eeweb.engineering.nyu.edu/~yao/EE3414/sampling.pdf
    samples between every two existing samples • T’=T/L, fs’=fs*L – The estimation of the missing samples from original samples is known as interpolation • Interpolation can be decomposed into two steps – Zero-padding: insert L-1 zeros in between every two samples – Low-pass filtering: to estimate missing samples from neighbors

Real-time re-sampling and linear interpolation? | Appleton ...

    https://www.appletonaudio.com/blog/2015/real-time-re-sampling-and-linear-interpolation/
    If the input were an audio signal sampled at 48 kHz, the frequencies between 0 and 24 kHz would map to the frequency range on the graph between 0 and 0.25 (as we are interpolating by a factor of 4). At 18 kHz, we are attenuating the signal by about 11 dB; at 21 kHz, we are attenuating by about 31 dB.

Data Interpolation and Its Effects on Digital Sound …

    http://www.mcm.edu/mathdept/lynn_blair/thesis.pdf
    implementing different interpolation techniques to fill in data that is missing from a digital sound file. These techniques were tried on two samples (one perfect sound wave, and one imperfect sound wave) to determine any change in the overall quality. This was accomplished by implementing a random number

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
    where x1 and x2 are the samples being interpolated between, x0 is x1's left neighbor, and x3 is x2's right neighbor. t is [0, 1], denoting the interpolation position between x1 and x2. answered Jul 14 '09 at 15:18 Donnie DeBoer 2,517 15 14 Show 1 more comment 3 Honestly, cubic interpolation isn't generally much better for audio than linear.

Digital Audio 101 - Bit Depth, Sampling Rate ...

    https://www.youtube.com/watch?v=W2-FP7twy8s
    This video covers the very basics of Digital Audio.In the 2nd part I cover some harder principles, and going into more depth, you can watch Part 2 here: http...

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 ...

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