<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>thelazydogsback</author><text>Personally, I find I dislike any &amp;quot;emotion&amp;quot; added to TTS -- I find Alexa&amp;#x27;s emo markup, a la:&lt;p&gt;&lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;developer.amazon.com&amp;#x2F;en-US&amp;#x2F;blogs&amp;#x2F;alexa&amp;#x2F;alexa-skills-kit&amp;#x2F;2019&amp;#x2F;11&amp;#x2F;new-alexa-emotions-and-speaking-styles&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;developer.amazon.com&amp;#x2F;en-US&amp;#x2F;blogs&amp;#x2F;alexa&amp;#x2F;alexa-skills-...&lt;/a&gt;&lt;p&gt;to be disturbing and without much added value. (Such as used with games like Jeopardy.)&lt;p&gt;If used, the application of these tags needs to be both meticulous in its proper context, somewhat non-deterministically applied, and with randomized prosody. Repeated usage of the same overstated emotive content is annoying and unnatural (worse than a &amp;quot;flat&amp;quot; presentation) and only serves to underscore the underlying inflexible conversational content.</text><parent_chain></parent_chain></comment><story><title>A highly efficient, real-time text-to-speech system deployed on CPUs</title><url>https://ai.facebook.com/blog/a-highly-efficient-real-time-text-to-speech-system-deployed-on-cpus/</url></story>
<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>ekelsen</author><text>Exciting to see our research making broad impact across the industry! &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;arxiv.org&amp;#x2F;abs&amp;#x2F;1802.08435&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;arxiv.org&amp;#x2F;abs&amp;#x2F;1802.08435&lt;/a&gt;</text><parent_chain></parent_chain></comment><story><title>A highly efficient, real-time text-to-speech system deployed on CPUs</title><url>https://ai.facebook.com/blog/a-highly-efficient-real-time-text-to-speech-system-deployed-on-cpus/</url></story>