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| <title>OmniAgentBench — accent & voice demo</title> | |
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| <h1>OmniAgentBench — accent & voice demo 🗣️</h1> | |
| <p class="lead">Speech-variation samples on our actual benchmark instructions. | |
| Listen and tell us what sounds natural and usable.</p> | |
| <a class="card" href="edge/index.html"> | |
| <h2>Real accents <span class="tag">14 accents · free</span></h2> | |
| <p>Genuine per-accent English voices (American, British, Indian, Nigerian, | |
| Singaporean, and 9 more) via free Microsoft neural voices. These are the accents | |
| we would actually add to the benchmark.</p> | |
| </a> | |
| <a class="card" href="tts/index.html"> | |
| <h2>Qwen3-TTS voice controls <span class="tag">rate · gender · age · pitch · emotion</span></h2> | |
| <p>What the instruct-driven TTS can control — speaking rate, gender, age, pitch, | |
| and emotion all work. It also shows 41 accent <em>attempts</em>: notice they all | |
| sound like one neutral voice. That is why real accents come from per-accent voices | |
| instead.</p> | |
| </a> | |
| <a class="card" href="multi/index.html"> | |
| <h2>Multi-turn: v1 vs v2 <span class="tag">actual released audio</span></h2> | |
| <p>Straight from the dataset: v1 is the single concatenated clip the evaluation | |
| used, v2 is the same instruction as separate per-turn clips (a real conversation). | |
| Both files already ship in the release, so the difference is purely how the turns | |
| are delivered to the model.</p> | |
| </a> | |
| <a class="card" href="noise/index.html"> | |
| <h2>Noise: actual vs new <span class="tag">fix comparison</span></h2> | |
| <p>The actual released noise (downloaded from the dataset) measures about 8 dB and | |
| masks the speech. The fix measures the active region and targets 15 dB, so noise | |
| stays in the background. Actual vs new per environment, same clip, with measured SNR.</p> | |
| </a> | |
| <div class="ask"> | |
| <strong>Feedback wanted:</strong> which accents sound natural and clear enough to | |
| include as a speech-variation dimension? Any that sound wrong or unintelligible? | |
| And for multi-turn, does v1 or v2 feel like the fairer test? | |
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