<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Whisper on Angelos Papamichail</title><link>https://angelospk.github.io/tags/whisper/</link><description>Recent content in Whisper on Angelos Papamichail</description><generator>Hugo</generator><language>en</language><lastBuildDate>Tue, 21 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://angelospk.github.io/tags/whisper/index.xml" rel="self" type="application/rss+xml"/><item><title>Greek Council Speech Recognition</title><link>https://angelospk.github.io/projects/greek-council-asr/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://angelospk.github.io/projects/greek-council-asr/</guid><description>&lt;p>Fewer hand corrections for the volunteers who review Greek council transcripts: a Whisper LoRA model trained and published for OpenCouncil during Google Summer of Code 2026. Built the evaluation that decides whether a new model earns its place in production. Deliverable submitted in August 2026; research continues.&lt;/p>
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&lt;p>Council transcripts need human correction. Model changes must preserve speech and be evaluated consistently before they can justify a change to the transcription workflow.&lt;/p></description></item><item><title>Teaching a machine to hear a Greek municipal council</title><link>https://angelospk.github.io/posts/greek-asr-finetuning/</link><pubDate>Tue, 21 Jul 2026 00:00:00 +0000</pubDate><guid>https://angelospk.github.io/posts/greek-asr-finetuning/</guid><description>&lt;p>&lt;em>This is an English adaptation of a post I originally wrote in Greek for the Schema Labs Substack. The original is here: &lt;a href="https://schemalabs.substack.com/p/asr-finetuning" class="external-link" target="_blank" rel="noopener">Μαθαίνοντας μια μηχανή να ακούει ένα ελληνικό δημοτικό συμβούλιο&lt;/a>.&lt;/em>&lt;/p>
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&lt;p>OpenCouncil transcribes Greek municipal council meetings with ASR (Automatic Speech Recognition), and then someone fixes the AI&amp;rsquo;s mistakes by hand. The team spends several hours on each meeting to get those corrections right, so the final transcript matches the audio. That led us to a question: can we fine-tune an open ASR model on OpenCouncil&amp;rsquo;s own data and cut down the time spent on manual corrections? I&amp;rsquo;m Angelos, and this is the problem I&amp;rsquo;m working on for my Google Summer of Code project.&lt;/p></description></item></channel></rss>