<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Edge-Ai on DRM HSE</title><link>https://www.drmhse.com/tags/edge-ai/</link><description>Recent content in Edge-Ai on DRM HSE</description><generator>Hugo</generator><language>en</language><lastBuildDate>Wed, 11 Nov 2026 17:40:01 +0300</lastBuildDate><atom:link href="https://www.drmhse.com/tags/edge-ai/index.xml" rel="self" type="application/rss+xml"/><item><title>A 1.75M-Parameter Decoder for Kokoro: No Neural Network at Audio Rate</title><link>https://www.drmhse.com/posts/a-1-75m-parameter-decoder-for-kokoro/</link><pubDate>Wed, 11 Nov 2026 12:00:00 +0300</pubDate><guid>https://www.drmhse.com/posts/a-1-75m-parameter-decoder-for-kokoro/</guid><description>&lt;p>The &lt;a href="https://www.drmhse.com/posts/compressing-kokoro-82m-decoder/">previous&lt;/a> post shrank Kokoro-82M&amp;rsquo;s decoder by pruning and
distillation, and ran into a wall: the speed ceiling is set by the generator&amp;rsquo;s last stage, which runs a neural
network 4,800 times a second, and that stage is exactly where the quality lives. This post takes the opposite
approach. The decoder does all of its learned work at 160 frames per second, and the audio-rate part is fixed
signal processing with nothing to learn.&lt;/p></description></item></channel></rss>