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         <div id="evaluation-info" class="mb-5">
             <p class="text-start">
                 <span class="section-title"><i class="fas fa-info-circle"></i>Welcome to the Speech-to-Speech (S2S) Model Evaluation! 🎤</span>
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                 In this evaluation, you will assess the performance of 4 S2S models:
                 <strong>ChatGPT-4o</strong>, <strong>FunAudioLLM</strong>, <strong>SpeechGPT</strong>, and
                 <strong>Mini-Omni</strong>.
                 The goal is to evaluate how well these models handle various speech tasks across different domains.
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                 <span class="section-title"><i class="fas fa-tasks"></i>How It Works</span>
                 Once you select a specific domain and task (e.g., <em>Educational Tutoring</em> and <em>Rhythm Control</em>),
                 you will proceed to the evaluation stage. In each round, you will be presented with an audio input. 🎵
                 For example:
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                 <span style="vertical-align: middle; line-height: 1.2; display: inline-block;"><strong>Audio
                         Sample:</strong></span>
                 <audio controls style="vertical-align: middle;">
                     <source src="/static/audio/sample/input_audio.wav" type="audio/wav">
                 </audio>
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                 The corresponding text is:
                 <em>"Say the following sentence at my speed first, then say it again very slowly:
                     'Artificial intelligence is changing the world in many ways.'" </em> 🧠
                 <small>(Note: the audio plays at 1.5x the normal speed.)</small>
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                 <span class="section-title"><i class="fas fa-star"></i>Model Responses</span>
                 The responses of different S2S models will be provided, and your task is to choose which response best follows
                 the instructions. For example:
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                 <!-- ChatGPT-4o Output -->
                 <span><strong>ChatGPT-4o:</strong></span>