<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Audio on Javad Rajabzadeh | Senior Software Engineer</title><link>http://javad.dev/tags/audio/</link><description>Recent content in Audio on Javad Rajabzadeh | Senior Software Engineer</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 19 Jul 2026 22:30:00 +0330</lastBuildDate><atom:link href="http://javad.dev/tags/audio/index.xml" rel="self" type="application/rss+xml"/><item><title>Optimally-Modified Log-Spectral Amplitude (OM-LSA): Post-Filtering for Speech Intelligibility</title><link>http://javad.dev/posts/omlsa-speech-enhancement-postfiltering/</link><pubDate>Sun, 19 Jul 2026 22:30:00 +0330</pubDate><guid>http://javad.dev/posts/omlsa-speech-enhancement-postfiltering/</guid><description>&lt;p&gt;In digital signal processing and speech enhancement, spatial filtering techniques (such as Multi-channel Wiener Filtering or beamforming) effectively attenuate directional noise sources. However, residual non-stationary noise, diffuse background acoustic clutter, and reverberation often linger in the processed audio.&lt;/p&gt;
&lt;p&gt;Applying traditional spectral subtraction or hard noise gate suppression to clean this residual noise causes severe &lt;strong&gt;musical noise artifacts&lt;/strong&gt;—random, isolated spectral peaks that destroy human speech intelligibility and sound unnaturally harsh.&lt;/p&gt;
&lt;p&gt;In this post, I explore the mathematical formulation and practical implementation of &lt;strong&gt;Optimally-Modified Log-Spectral Amplitude (OM-LSA)&lt;/strong&gt; speech enhancement—a single-channel post-filtering technique designed by Israel Cohen and Baruch Berdugo that minimizes log-spectral amplitude estimation errors while preserving natural speech quality.&lt;/p&gt;</description></item></channel></rss>