<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Speech Representation Learning | Sidharth</title><link>https://fnusid.github.io/tags/speech-representation-learning/</link><atom:link href="https://fnusid.github.io/tags/speech-representation-learning/index.xml" rel="self" type="application/rss+xml"/><description>Speech Representation Learning</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 24 Jun 2026 00:00:00 +0000</lastBuildDate><image><url>https://fnusid.github.io/media/icon_hu7729264130191091259.png</url><title>Speech Representation Learning</title><link>https://fnusid.github.io/tags/speech-representation-learning/</link></image><item><title>Paper submitted to IEEE SLT 2026</title><link>https://fnusid.github.io/post/slt_26/</link><pubDate>Wed, 24 Jun 2026 00:00:00 +0000</pubDate><guid>https://fnusid.github.io/post/slt_26/</guid><description>&lt;p>The preprint of the work is available at &lt;a href="https://arxiv.org/abs/2604.03219" target="_blank" rel="noopener">https://arxiv.org/abs/2604.03219&lt;/a>&lt;/p></description></item></channel></rss>