<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Kokoro on DRM HSE</title><link>https://www.drmhse.com/tags/kokoro/</link><description>Recent content in Kokoro on DRM HSE</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 07 Nov 2026 15:18:53 +0300</lastBuildDate><atom:link href="https://www.drmhse.com/tags/kokoro/index.xml" rel="self" type="application/rss+xml"/><item><title>Compressing Kokoro-82M: Most of the Decoder Can Go, Its Last Layer Cannot</title><link>https://www.drmhse.com/posts/compressing-kokoro-82m-decoder/</link><pubDate>Sat, 07 Nov 2026 14:00:00 +0300</pubDate><guid>https://www.drmhse.com/posts/compressing-kokoro-82m-decoder/</guid><description>&lt;p>&lt;a href="https://huggingface.co/hexgrad/Kokoro-82M"target="_blank" rel="noopener noreferrer" class="external-link">Kokoro-82M&lt;svg class="inline-block w-3 h-3 ml-0.5 align-baseline" fill="none" stroke="currentColor" viewBox="0 0 24 24" xmlns="http://www.w3.org/2000/svg" aria-hidden="true">
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&lt;/a> is a small, good-sounding English text-to-speech
model with 28 voices. Two thirds of its 81.8 million parameters sit in one place: the decoder that turns
an internal description of speech into a waveform. I wanted a smaller, faster decoder that a listener
could not tell apart from the original, while keeping everything else about Kokoro (pronunciation,
timing, intonation, the voices) exactly as it is.&lt;/p></description></item></channel></rss>