<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Toolkit on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/toolkit/</link><description>Recent content in Toolkit 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/toolkit/index.xml" rel="self" type="application/rss+xml"/><item><title>Pyannote Audio</title><link>https://terms-en.ai-term-hub.com/en/terms/pyannote_audio/</link><pubDate>Sat, 18 Jul 2026 10:12:36 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/pyannote_audio/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Pyannote Audio is a comprehensive toolkit designed to facilitate the development and deployment of speaker diarization systems. It provides a collection of pre-trained neural network models for tasks such as voice activity detection, speaker embedding extraction, and clustering. The library allows users to construct custom pipelines by combining these components, supporting both offline processing of recorded files and real-time streaming applications. It is built on top of PyTorch and integrates seamlessly with Hugging Face Hub for model sharing.&lt;/p></description></item></channel></rss>