High-end sample rate conversion


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High-end sample rate conversion

Sample Rate Conversion

The sample rate is the number of measured digital signal samples (passes) per second.

Sample Rate Conversion

High-quality conversion (change) of the sample rate is quite a complicated and resource-intensive process. Especially if the frequencies of the input and output signals are not multiples of each other (44.1 and 96 kHz). Next, we will look at the characteristics of the audio sample rate conversion process that affect sound quality.

About the DSD sample rate conversion.

Sample rate converter for Mac OS X, Windows

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Where are sample rate converters used?
Sample rate conversion can be: in real time (on the fly, converting the audio stream signal) or by converting files.

Sample rates are changed in real time when playing samples and mixing multiple audio tracks from the sequencer program (imported from external files with different sample rates).

In audio engineering, the 2 series of sample rates are mainly common:
1) CD: 44 100, 88 200, 176 400 Hz;
2) DVD Audio and DVD Video: 48,000, 96,000, 192,000 Hz.

Not only musicians and professional sound engineers need to bring the sample rate to the desired value, but also in the field of home audio and video. For example, when playing audio files, a media player may imperceptibly “adjust” the sample rate of the file to the sample rate set in the sound card settings.

Sample rate conversion algorithm
The algorithm for changing the sample rate (both hardware and software) consists of the following steps:
1) Increase the sampling frequency to a frequency that is a multiple of the sampling frequency of the output signal.
2) Filters out “spurious” signals (called “artifacts”) that are above half the output sample rate.
3) Multiple decimation subsampling (discarding) unnecessary samples.

Sample rate converter circuit

Up sampling is done by inserting additional samples (“virtual” – generated by the interpolator) between the existing samples in the input digital signal.

Sample interpolation: insert virtual samples between real ones

It is sometimes used to insert “virtual” samples with zero values ​​into the digital signal. This method is computationally faster. But this way of increasing the sample rate adds a significant amount of “artifacts” to those present in the interpolated signal.
Why do you need a superior sample? To complete point 3). Since it is easier to dilute the samples in multiples, simply discarding the excess ones.
The “spurious” signals (with frequencies above half the output sample rate) are then filtered. Otherwise, discarding “extra” samples will fall into the spectrum of the useful signal and distort it (add extraneous sounds).

What makes a high-end audio sample rate converter different from a medium-quality converter?
To introduce minimal distortion into the signal during conversion, we must interpolate it as accurately as possible. The interpolation precision is the maximum degree of repetition of the additional interpolator samples of the original analog signal. It should be remembered that the highest quality interpolator can accurately reconstruct the original analog signal. But not with 100% accuracy. Poor me. When the sampling frequency is increased, false signals will appear above half the sampling frequency of the output signal.


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Everything you need to know about samples and bits

I started delving into depth and sample rate in my last mixing / mastering tutorial, and while we’re not necessarily digital audio engineers, some background on what bit depth and sample rate is good information for anyone. participate in digital music. It’s something you always work with, whether you know it or not, and it’s great background information for understanding whether understanding the building blocks of digital audio is critical for personal gain or just to be able to sound smart just in case. where the conversation never comes up.

Samplerate

So the first thing to understand is that bit depth and sample rate only exist in digital audio. In digital audio, bit depth describes amplitude (vertical axis) and sample rate describes frequency (horizontal axis). So when we increase the number of bits we are using we are increasing the amplitude resolution of our sound and by increasing the number of samples per second we are using we are increasing the frequency resolution of our sound.

In an analog system (and in nature), the audio is continuous and fluid. In a digital system, the smooth analog waveform is only approximated by the samples and must be set to a limited number of amplitude values. When you sample a sound, the audio is divided into small sections (samples) and these samples are fixed at one of the available amplitude levels. The process of fixing the signal to an amplitude level is called quantization, and the process of creating the sample slices is, of course, called sampling.

In the diagram below you can see a visualization of this where there is an organic sine wave playing for one second. It starts in 0 seconds and ends in 1 second. The blue bars represent the digital approximation of the sine wave where each bar is a sample and has been set to one of the available amplitude levels. (This diagram is obviously much grosser than in real life).

samplerate

This second of audio would have 44.1K, 48K, etc. samples. From left to right depending on the selected sample rate when recording and it will cover -144dB at 0dB at 24bit (or -96dB at 0dB at 16bit bit). The dynamic range resolution (the number of possible amplitude levels for the sample to rest) would be 65,536 at 16 bits, and get this, 16,777,216 when logged at 24 bits.

Therefore, increasing the bit depth greatly increases our amplitude resolution and dynamic range. What is not so obvious is where the increase in dynamic range occurs. The added dB is added to the softest part of the sound since the amplitude can never exceed 0 dB. What this does is allow you to hear more delicate sounds (like a reverb tail running at -130 dB) to be heard, which might otherwise be cut off to a 16-bit, -96 dB sample.