<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>CHIA | Elwin Huaman | Researcher</title><link>https://elwin.huamanquispe.com/tags/chia/</link><atom:link href="https://elwin.huamanquispe.com/tags/chia/index.xml" rel="self" type="application/rss+xml"/><description>CHIA</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 03 Nov 2026 00:00:00 +0000</lastBuildDate><image><url>https://elwin.huamanquispe.com/media/icon_hu_cb027c900311acf0.png</url><title>CHIA</title><link>https://elwin.huamanquispe.com/tags/chia/</link></image><item><title>Featured by CHIA: Helping Quechua Communities Shape Their Future with AI</title><link>https://elwin.huamanquispe.com/post/2026-chia-meet-the-researcher/</link><pubDate>Tue, 03 Nov 2026 00:00:00 +0000</pubDate><guid>https://elwin.huamanquispe.com/post/2026-chia-meet-the-researcher/</guid><description>&lt;p&gt;The
at the University of Cambridge has featured my work in its &lt;em&gt;Meet the Researcher&lt;/em&gt; series:&lt;/p&gt;
&lt;blockquote class="border-l-4 border-neutral-300 dark:border-neutral-600 pl-4 italic text-neutral-600 dark:text-neutral-400 my-6"&gt;
&lt;p&gt;&lt;strong&gt;
&lt;/strong&gt;&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;The feature tells the story behind
and our work with Quechua communities in Puno, Peru. It covers:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Where it started.&lt;/strong&gt; I grew up in Nuñoa, at 4,100 metres in southern Peru, speaking Quechua, a language that lives mostly in speech and has had little support in digital spaces. You can read more in
.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Community-led data collection.&lt;/strong&gt; In January and February 2026, together with the National University of Altiplano of Puno, the Puno Regional Government and the Illariy Ch&amp;rsquo;aska association, 151 volunteers contributed 66 hours of Puno Quechua speech. Community members also helped decide what to record and what counts as non-sensitive. The details are in our
.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Speech first.&lt;/strong&gt; Many speakers are not literate in Quechua, so technology that depends on reading and writing leaves them out. A speech recognition model of around 317 million parameters, adapted on community data, outperformed a 7.8-billion-parameter multilingual model on in-domain tests. That result does not hold in every setting, and the feature argues for evaluation that also looks at real-world use, device access, cultural fit and performance across groups of speakers.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;What comes next.&lt;/strong&gt; Text-to-speech voices, emotion recognition for Quechua, and a
to grow language technology for Indigenous languages across South America.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;One line from the interview sums up how I see this work:&lt;/p&gt;
&lt;blockquote class="border-l-4 border-neutral-300 dark:border-neutral-600 pl-4 italic text-neutral-600 dark:text-neutral-400 my-6"&gt;
&lt;p&gt;&amp;ldquo;Communities should hold their own data and be the ones who validate what machines produce.&amp;rdquo;&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;Thank you to CHIA for the feature, and to the Quechua speakers, partners and volunteers in Puno who made this work possible.&lt;/p&gt;</description></item></channel></rss>