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<oembed><version>1.0</version><provider_name>Microsoft Research</provider_name><provider_url>https://www.microsoft.com/en-us/research</provider_url><author_name>Jeff Running</author_name><author_url>https://www.microsoft.com/en-us/research/people/jeffrunn/</author_url><title>Finding Information in Disfluencies - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="4fSTUNchjs"&gt;&lt;a href="https://www.microsoft.com/en-us/research/video/finding-information-in-disfluencies/"&gt;Finding Information in Disfluencies&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/video/finding-information-in-disfluencies/embed/#?secret=4fSTUNchjs" width="600" height="338" title="&#x201C;Finding Information in Disfluencies&#x201D; &#x2014; Microsoft Research" data-secret="4fSTUNchjs" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><thumbnail_url>https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/finding-information-in-disfluencies-1.jpg</thumbnail_url><thumbnail_width>640</thumbnail_width><thumbnail_height>480</thumbnail_height><description>One of the characteristics of spontaneous speech that distinguishes it from written text is the presence of disfluencies, including filled pauses (um, uh), repetitions, and self corrections. In spoken language processing applications, disfluencies are typically thought of as &#x201C;noise&#x201D; in the speech signal. However, there are several systematic patterns associated with where disfluencies occur that [&hellip;]</description></oembed>
