Acquiring Two Seconds of Audio Data from Sound Card Using Data Acquisition Toolbox with Frequency Analysis

This program illustrates how to utilize MATLAB's Data Acquisition Toolbox to capture two seconds of audio data from a sound card, extract frequency components, and generate visualizations. Through this process, you will learn to write MATLAB code for capturing and analyzing audio data in your projects. You will understand how to interface with sound card drivers and employ Data Acquisition Toolbox functions like `analoginput` and `addchannel` for data acquisition setup, followed by `start` and `getdata` functions for actual data collection.

Furthermore, you will explore techniques for processing and visualizing audio signals to better understand acoustic characteristics. The implementation covers using MATLAB's Fast Fourier Transform (FFT) functions such as `fft` and `fftshift` to convert time-domain signals to frequency-domain representations, visualized through magnitude spectra (using `abs` function) and phase spectra (using `angle` function). The program also demonstrates applying digital filters using functions like `filter` or `designfilt` to remove noise and unwanted frequency components from audio signals.

Finally, you'll discover practical applications of these techniques in real-world scenarios such as audio signal processing and speech recognition. The content explains how to leverage MATLAB's Signal Processing Toolbox functions including `spectrogram` for time-frequency analysis and `mfcc` for feature extraction, enabling advanced audio analysis for speech recognition systems and other audio processing applications.