New answers tagged audio-processing
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What I'd do:
Transform data into a representation that maximizes "similarity" of chunks that are otherwise "alike" but have large Euclidean distance in terms of raw waveforms
Apply similarity measure at each point in time
Extract indices of peak similarities
My transform of choice would be wavelet scattering, which is sparse, robust to ...
1
You maybe referring to class H or class G amplifiers. This have power supplies with switchable or continuous power rails. The signal processing is does tracks the input and and switches/adjusts the rails so they stay high enough but not higher than they need to be, which minimizes power supply losses and can also greatly reduce idle power.
This needs to be a ...
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Assuming you know how class-D amplifiers with feedback work:
You really only need to compute the average power of the input, i.e. something like (lowpass(input²)), and reduce the supply voltage accordingly.
When output power is low, then the amplifier would, at a high supply voltage, turn on the current through the output inductor for very short periods of ...
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The answer has a lot to do with your point #4. The magnitude of the filter you are building by selecting some frequencies by hand has to be an even function to make sure its impulse response is real.
But even if you do that, you will notice that the filtering is not good.
To show you why this happens lets build a simple example using octave/matlab. First of ...
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That should work fine. If it doesn't, the issue is most likely with your signal 'testing_voice.wav'. Could be scaling, noise, or just too much pauses in the speech. Probable root cause is scaling: while your noise burst is short, the power is larger than any wave can carry so it's possible that your noise energy simply dominates the speech.
Matlab comes with ...
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Repeating what I suggested before:
Your best shot is to time align the signals before you mix them and avoid the comb filter in the first place.
An "anti-comb" filter can be done, but you have to match the fundamental frequency, the depth and the "Q" of the comb very carefully, otherwise the correction will make things only worse. You ...
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