<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Practical AI on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/practical-ai/</link><description>Recent content in Practical AI on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/practical-ai/index.xml" rel="self" type="application/rss+xml"/><item><title>Whisper</title><link>https://terms-en.ai-term-hub.com/en/terms/whisper/</link><pubDate>Sat, 18 Jul 2026 10:20:04 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/whisper/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Whisper is a general-purpose speech recognition model designed to handle various languages, dialects, and accents. It is trained on hundreds of thousands of hours of multilingual and multitask supervised data collected from the web. The model excels at robustness against noise and background sounds, making it suitable for real-world applications. It supports transcription, translation, and voice activity detection, providing high accuracy across different audio contexts without requiring extensive fine-tuning for specific domains.&lt;/p></description></item></channel></rss>