If you’ve read How to Perform Frequency Modulation with a Digitized Audio Signal, you’re familiar with the wavread() command. = wavread("C:\Users\Robert\Documents\Audio\OnceUponaMidnightDreary.wav") The following command will convert your WAV file into Scilab variables: In this article, we’ll use filters, which are straightforward but not particularly effective. Significantly reducing hiss is not a simple task. Your browser does not support the audio element. Hiss is present throughout the recording, and it’s especially noticeable at the end after I stop speaking. The following audio file is a recording of me reading the first two lines of “The Raven” by Edgar Allen Poe. The sort of noise that I’m talking about is called “hiss,” and it’s much easier to explain with an example than with words. The goal of this article is to remove the background noise found in a recording of a person’s voice. How to Perform Frequency Modulation with a Digitized Audio Signal.How to Use Scilab to Analyze Frequency-Modulated RF Signals.How to Use Scilab to Analyze Amplitude-Modulated RF Signals.How to Perform Frequency-Domain Analysis with Scilab.Introduction to Sinusoidal Signal Processing with Scilab.Previous Articles on Scilab-Based Digital Signal Processing My 40-Year Love Affair with a Remarkable Amplifier-A Class B Amplifier for Audiophiles.Addressing Harmonic Distortion in Audio Amplifiers.An Introduction to Audio Electronics: Sound, Microphones, Speakers, and Amplifiers.Learning to Live in the Frequency Domain (from Chapter 1 of AAC’s RF textbook) This is just one portion of the audio signal chain, but it’s a very important portion because digital signal processing is so versatile and can mitigate imperfections introduced by other components.īefore moving on, please check out these resources for context and related info: In this article, we’ll look at the DSP block, where digitized audio signals are modified by means of carefully designed algorithms. Optimizing audio quality is something that must occur throughout the system-from the microphone to the speaker and everything in between. Sound happens so naturally in the biological world, and it is really rather astonishing to think of the extreme difficulty involved in recording sound and playing it back without introducing noticeable degradation. Scientists and engineers have dedicated countless hours to the pursuit of high-quality audio. This article is an introduction to the complex topic of DSP-based reduction of noise in audio signals.
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