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resampling audio with linear interpolation

    https://www.mathworks.com/matlabcentral/answers/156604-resampling-audio-with-linear-interpolation
    hi guys, i need your help, i made a program that reduce the sampling from 44100 to 8000 but i need that the audio has the same time with the resampling im aware that the audio its gonna sound different but thats the point the method that i have to use is linear interpolation i made this code that works with the resampling but the sound is weird :c someone help me …

Audio Resampling — PyTorch Tutorials 1.10.1+cu102 ...

    https://pytorch.org/tutorials/beginner/audio_resampling_tutorial.html
    To resample an audio waveform from one freqeuncy to another, you can use transforms.Resample or functional.resample . transforms.Resample precomputes and caches the kernel used for resampling, while functional.resample computes it on the fly, so using transforms.Resample will result in a speedup when resampling multiple waveforms using the …

Digital Audio Resampling Home Page - CCRMA

    https://ccrma.stanford.edu/~jos/resample/
    Download resample.pdf [How to cite and copy this work] [Comment on this page via email] `` The Digital Audio Resampling Home Page '', by Julius O. Smith III .

DigitalAudioResamplingHomePage

    https://ccrma.stanford.edu/~jos/resample/resample.pdf
    • The free Open Source Audio Library Project (OSALP)15 (LGPL) contains a C++ class based on resample. • The Speex16 speech coder/decoder (based on CELP) contains a variation of the resample algorithm in the file resample.c, is free and open-source, and is released under a BSD-style license (i.e., free for both commercial and noncommercial ...

audioresample - GStreamer

    https://gstreamer.freedesktop.org/documentation/audioresample/index.html
    audioresample resamples raw audio buffers to different sample rates using a configurable windowing function to enhance quality. By default, the resampler uses a reduced sinc table, with cubic interpolation filling in the gaps. This ensures that the table does not become too big. However, the interpolation increases the CPU usage considerably.

Audio Resampling — Torchaudio 0.10.0 documentation

    https://pytorch.org/audio/stable/tutorials/audio_resampling_tutorial.html
    To resample an audio waveform from one freqeuncy to another, you can use transforms.Resample or functional.resample . transforms.Resample precomputes and caches the kernel used for resampling, while functional.resample computes it on the fly, so using transforms.Resample will result in a speedup when resampling multiple waveforms using the …

interpolation - How to Resample Audio Using FFT or DFT ...

    https://dsp.stackexchange.com/questions/2962/how-to-resample-audio-using-fft-or-dft
    The previous steps have to be done no matter how you want to resample the data. Now let's talk about how to do it with FFT's. The trick to resampling with FFT's is to pick FFT lengths that make everything work out nicely. That means picking an FFT length that is a multiple of the decimation rate (441, in this case).

resampling or interpolation? - Stack Overflow

    https://stackoverflow.com/questions/17852639/resampling-or-interpolation
    In the case of audio, these are the amplitude values sampled at each time point. Resampling is used to either increase the sample rate (make the image larger) or decrease it (make the image smaller). Interpolation is the process of calculating values between sample points. So, if you resample an image you can use interpolation to do it.

Resampling - dspGuru

    https://dspguru.com/dsp/faqs/multirate/resampling/
    4.1.3 What is the “resampling factor”? The interpolation factor is simply the ratio of the output rate to the input rate. Given that the interpolation factor is L and the decimation factor is M, the resampling factor is L / M. In the above example, the resampling factor is 147 / 160 = 0.91875.

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