<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/8d8a03b0ec9841db856c3913d0620ae3&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/8d8a03b0ec9841db856c3913d0620ae3-84e18ba6b871f713.gif</thumbnail_url><duration>212.4876</duration><title>Testing Text-to-Speech Model Variations and Performance</title><description>In this video, I conducted a quick test comparing the March and December snapshots of the OpenAI text-to-speech model, focusing on how well it follows different instructions. I tested various styles, including high-pitch, low-pitch, whispering, and aggressive accents, and found that both versions performed similarly. Despite trying different voices, I couldn&apos;t notice any significant differences in the December snapshot when using the instructions parameter. I would appreciate any feedback on this, as I&apos;m unsure if I&apos;m missing something or if there&apos;s a different approach I should take. Cheers!</description></oembed>