The aim of this article is to show an efficient algorithm of signal processing which will allow one to have a competent system of sound fingerprinting and signal recognition. I'll try to come with some explanations of the article's algorithm, and also speak about how it can be implemented using the C# programming language. Additionally, I'll try to cover topics of digital signal processing that are used in the algorithm, thus you'll be able to get a clearer image of the entire system. And as a proof of concept, I'll show you how to develop a simple WPF MVVM application.
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// Sound Fingerprinting framework
// https://code.google.com/p/soundfingerprinting/
// Code license: GNU General Public License v2
// ciumac.sergiu@gmail.com
namespace SoundfingerprintingLib.AudioProxies.Strides
{
/// <summary>
/// Stride interface
/// </summary>
public interface IStride
{
/// <summary>
/// Get's stride size in terms of number of samples, which need to be skipped
/// </summary>
/// <returns>Number samples to skip, between 2 consecutive overlapping fingerprints</returns>
int GetStride();
/// <summary>
/// Get very first stride
/// </summary>
/// <returns>Called at the very beginning just once</returns>
int GetFirstStride();
}
}
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Interested in computer science, math, research, and everything that relates to innovation. Fan of agnostic programming, don't mind developing under any platform/framework if it explores interesting topics. In search of a better programming paradigm.