EVA：ServiceNow AI 推出全新語音 Agent 評估框架
Original: A New Framework for Evaluating Voice Agents (EVA)
With the proliferation of GPT-4o, Gemini Live, and various end-to-end voice models, Voice Agents have become an important frontier in AI…
ServiceNow AI 在 Hugging Face 上發布了名為「EVA」（Evaluating Voice Agents）的全新開源評估框架。該框架旨在解決傳統文字 LLM 評估無法涵蓋語音互動特性的痛點，專注於即時延遲、語音打斷、輪替（Turn-taking）及語意理解等多維度指標。這為開發下一代即時語音助理（如類似 GPT-4o 或 Gemini Live 的應用）提供了標準化的測試基準。
With the proliferation of GPT-4o, Gemini Live, and various end-to-end voice models, Voice Agents have become an important frontier in AI applications. However, traditional LLM evaluation benchmarks (such as MMLU and GSM8K) focus exclusively on text output and are entirely unable to assess the critical dimensions of voice-based interaction. To address this gap, the ServiceNow AI team has released a new open-source evaluation framework on Hugging Face called EVA (Evaluating Voice Agents).
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