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
// git://github.com/AddictedCS/soundfingerprinting.git
// Code license: CPOL v.1.02
// ciumac.sergiu@gmail.com
using System;
using System.Runtime.Serialization;
namespace Soundfingerprinting.NeuralHashing.Ensemble
{
/// <summary>
/// Neural Network Hashing exception
/// </summary>
[Serializable]
internal class NNHashingException : Exception
{
public NNHashingException()
{
}
public NNHashingException(string message) : base(message)
{
}
public NNHashingException(string message, Exception innerException) : base(message, innerException)
{
}
protected NNHashingException(SerializationInfo info, StreamingContext ctx) : base(info, ctx)
{
}
}
}
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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.
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