This software is designed to analyze sound frequencies and separate mixed sounds into two distinct tracks. By determining the frequency response of a given sound and mixed sound, it can design a filter that isolates the two original sounds.

Frequency Response: The frequency response is the quantitative measure of the output spectrum of a system or device in response to a stimulus. In this software, the frequency response is used to determine the frequencies of the original sounds and the mixed sound.

Bilinear Transformation: The Bilinear transform is a mathematical relationship which can be used to convert the transfer function of a particular filter in the complex Laplace domain into the z-domain, and vice-versa. The bilinear transform is the result of a numerical integration of the analog transfer function into the digital domain. The software uses the Bilinear transform to design a filter that can isolate the two original sounds.

Low Pass and High Pass Filters: A high-pass filter (HPF) attenuates content below a cutoff frequency, allowing higher frequencies to pass through the filter. A low-pass filter (LPF) attenuates content above a cutoff frequency, allowing lower frequencies to pass through the filter. The software uses both low-pass and high-pass filters to separate the mixed sound into its original components.

Step 1: First clone the repository

  git clone https://github.com/Sheikh-Araf/SoundFilter.git

Step 2: Open MATLAB Software

Step 3: File > Open

Step 4: Choose the home/user-name/SoundFilter/src/SoundFilter.mlapp

To demonstrate the functionality of this software, we will use a sample siren sound that has been combined with an unknown sound. Our objective is to design a filter that will separate the siren sound and produce two separate audio sounds.

Sample Input

The input signal consists of a siren sound and an unknown sound, as shown in the following screenshot:

The frequency ranges of the unknown sound in the combined signal are between 500 Hz and 2000 Hz.

Filter Design

To separate the siren sound from the combined signal, we will use the Bilinear transformation method to design a filter that transforms a low-pass filter into a high-pass filter.

The filter order will be 3rd, and the cut-off frequency of the filter will be set to 1000 Hz.

Output

After applying the filter to the input signal, we obtain the following two separate audio sounds:

Siren sound:

Separated sound:

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