How to solve this sound problem (minimum sampling rate required)

In summary, the problem is determining the longest interval between samples, known as Δt, for recording sound without losing audible information. This is in relation to humans' ability to hear sound waves in the frequency range of 20 Hz to 20 kHz. The Nyquist Shannon Sampling Theorem provides a formula for determining the sample frequency, Fs, which is 1/Δt. Other factors such as playback requirements and technology limitations can also influence the choice of sampling rates and filters. Analogies, such as recording bird vocalizations in the wild and synchronizing audio with video recordings, can provide additional context and aid in determining sampling parameters.
  • #1
Physicsfan2379
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Summary: The problem:

If one wants to make a digital record of sound such that no audible information is lost, what is the longest interval, Δt, between samples that could be used? ( it gives a hint that humans can hear sound waves in the frequency range 20 Hz to 20 kHz. It should be a very simple question but I don't know what does the "longest interval" mean here)

Δt

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  • #2
In other words, how fast do you have to record data points to reconstruct the sound without information loss below 20KHz. Fs = 1/Δt where Fs is the sample frequency, Δt is the time between samples.
 
  • #4
The problem statement just mentions recording; i.e, audio data collection. Playback requirements and engineering technology limitations can also help determine initial sampling rates, frequencies and filters. Analogies/examples come to mind:

Suppose a biologist wants to record bird vocalizations in the wild with limited resources. Pre-filtering unwanted audio signals such as crickets, wind and moving water would reduce storage requirements among other benefits.

Suppose an engineer knows beforehand that they need to synchronize video and audio recordings. The video playback frame rate has been chosen for realistic motion ~30 frames/second. Recording audio signals that vary at faster rates could have benefits but the video playback rate provides a "ballpark figure" to help choose audio data collection parameters.
 

FAQ: How to solve this sound problem (minimum sampling rate required)

What is a minimum sampling rate?

A minimum sampling rate is the number of samples taken per second to accurately represent a continuous audio signal. It is measured in Hertz (Hz) and is typically expressed as samples per second (S/s).

Why is a minimum sampling rate important?

A minimum sampling rate is important because it determines the fidelity and accuracy of the audio signal. If the sampling rate is too low, it can result in distortion or loss of important audio information, leading to poor sound quality.

How do I calculate the minimum sampling rate required?

The minimum sampling rate required can be calculated using the Nyquist-Shannon sampling theorem. It states that the sampling rate must be at least twice the highest frequency present in the audio signal. So, if the highest frequency is 20,000 Hz, the minimum sampling rate would be 40,000 S/s.

What factors can affect the minimum sampling rate required?

The main factors that can affect the minimum sampling rate required include the frequency range of the audio signal, the complexity of the audio signal, and the desired level of fidelity. Higher frequency ranges and more complex signals may require a higher sampling rate for accurate representation.

What happens if the sampling rate is too low?

If the sampling rate is too low, it can result in aliasing, which is the distortion or incorrect representation of the audio signal. This can lead to poor sound quality and loss of important audio information. It is important to use a sampling rate that is at least equal to or higher than the minimum required for the best audio quality.

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