<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>NLP Preprocessing on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/nlp-preprocessing/</link><description>Recent content in NLP Preprocessing 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/nlp-preprocessing/index.xml" rel="self" type="application/rss+xml"/><item><title>Overlapped Speech Detection</title><link>https://terms-en.ai-term-hub.com/en/terms/overlapped_speech_detection/</link><pubDate>Sat, 18 Jul 2026 10:09:51 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/overlapped_speech_detection/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Overlapped Speech Detection (OSD) is a specialized task in speech processing that pinpoints intervals of concurrent vocalizations. Unlike speaker diarization which focuses on &amp;lsquo;who spoke when&amp;rsquo;, OSD specifically handles the complexity of overlapping voices, which often degrades automatic speech recognition performance. It utilizes acoustic features and temporal modeling to distinguish simultaneous speech events, enabling more robust transcription in noisy, multi-party conversations.&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>The process of identifying time segments where two or more speakers talk simultaneously in an audio stream.&lt;/p></description></item></channel></rss>