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    <title>Dialogist — Research</title>
    <link>https://dialogist.cc/en/research/</link>
    <description>Research notes from the Dialogist team: latency, turn-taking, speech recognition and synthesis, measured on real calls and explained step by step.</description>
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    <lastBuildDate>Wed, 11 Nov 2026 00:00:00 GMT</lastBuildDate>
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      <title>Voicecore: Rust media backend, road to infinite scalability with no idle GPUs</title>
      <link>https://dialogist.cc/en/research/voicecore-rust-media-core/</link>
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      <pubDate>Wed, 11 Nov 2026 00:00:00 GMT</pubDate>
      <description>The Python media path used up the processor of one bot process at about 96 conversations. Voicecore, written in Rust, carries 224 with the GPU out of the way.</description>
      <category>Research</category>
      <category>Capacity</category>
      <category>Load</category>
    </item>
    <item>
      <title>One Server Unit: 100 simultaneous calls, load-tested to 176% of rated capacity</title>
      <link>https://dialogist.cc/en/research/server-unit-under-load/</link>
      <guid isPermaLink="true">https://dialogist.cc/en/research/server-unit-under-load/</guid>
      <pubDate>Wed, 28 Oct 2026 00:00:00 GMT</pubDate>
      <description>We loaded one Server Unit from a single call to 176% of its rated 100 calls. Replies held the Standard grade up to rated capacity, and every call connected.</description>
      <category>Research</category>
      <category>Load</category>
      <category>Capacity</category>
    </item>
    <item>
      <title>Oasis Speech 2: recognition in 48 languages, before and after</title>
      <link>https://dialogist.cc/en/research/oasis-speech-2/</link>
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      <pubDate>Mon, 26 Oct 2026 00:00:00 GMT</pubDate>
      <description>Oasis Speech 2 lowers the error rate on short replies by 44% across the 48 languages it recognizes, and all 48 improve.</description>
      <category>Research</category>
      <category>Speech recognition</category>
      <category>Languages</category>
    </item>
    <item>
      <title>Listening while talking, and what the agent does with the caller's open channel</title>
      <link>https://dialogist.cc/en/research/listening-while-talking/</link>
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      <pubDate>Sat, 24 Oct 2026 00:00:00 GMT</pubDate>
      <description>How a Dialogist agent keeps listening while it speaks, starts its reply inside the pause and tells an interruption from a cough.</description>
      <category>Research</category>
      <category>Turn-taking</category>
    </item>
    <item>
      <title>The shortest answers are the hardest to recognize, and the most common on a call</title>
      <link>https://dialogist.cc/en/research/short-replies/</link>
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      <pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate>
      <description>Most of what a caller says is a few words, and a few words are the hardest case for speech recognition. Oasis Speech 2 cuts errors on one-word replies by 49%.</description>
      <category>Research</category>
      <category>Speech recognition</category>
    </item>
    <item>
      <title>How we grade a conversation between a voice agent and a simulated caller</title>
      <link>https://dialogist.cc/en/research/how-we-grade-a-conversation/</link>
      <guid isPermaLink="true">https://dialogist.cc/en/research/how-we-grade-a-conversation/</guid>
      <pubDate>Wed, 21 Oct 2026 00:00:00 GMT</pubDate>
      <description>Polygon, our test bench, grades a voice agent on whole conversations, with simulated callers, eight weighted criteria, hard gates and behavior probes.</description>
      <category>Research</category>
      <category>Evaluation</category>
      <category>Testing</category>
    </item>
    <item>
      <title>Cadence: the workbench where we fine-tune, evaluate and gate the models behind Oasis Speech</title>
      <link>https://dialogist.cc/en/research/cadence/</link>
      <guid isPermaLink="true">https://dialogist.cc/en/research/cadence/</guid>
      <pubDate>Tue, 20 Oct 2026 00:00:00 GMT</pubDate>
      <description>Cadence is where we fine-tune and evaluate the models behind Oasis Speech. People and coding agents use one API, and every model must pass a gate.</description>
      <category>Research</category>
      <category>Speech recognition</category>
      <category>Training</category>
    </item>
    <item>
      <title>What happens to a sentence after the voice model speaks it</title>
      <link>https://dialogist.cc/en/research/after-the-voice-model/</link>
      <guid isPermaLink="true">https://dialogist.cc/en/research/after-the-voice-model/</guid>
      <pubDate>Mon, 19 Oct 2026 00:00:00 GMT</pubDate>
      <description>Between the voice model and the caller, the agent trims, resamples, checks and caches every sentence, and re-checks the cache at night.</description>
      <category>Research</category>
      <category>Speech synthesis</category>
      <category>Latency</category>
    </item>
    <item>
      <title>Knowing when the caller has finished</title>
      <link>https://dialogist.cc/en/research/knowing-when-the-caller-has-finished/</link>
      <guid isPermaLink="true">https://dialogist.cc/en/research/knowing-when-the-caller-has-finished/</guid>
      <pubDate>Wed, 14 Oct 2026 00:00:00 GMT</pubDate>
      <description>Across nearly 100,000 caller turns, our end-of-turn model closed most turns before the silence timer and gave back about 0.3 s per turn on real calls.</description>
      <category>Research</category>
      <category>Turn-taking</category>
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