语音助手响应延迟和准确率问题被揭示
These moments resonated: - Tolan's response latency drifted from two seconds to two and a half. That...
朋友遇到语音助手响应慢、准确率低的问题，分享了一些解决方案和经验，比如Plivo的方法，值得看看。
Tolan 的响应延迟从两秒增加到两秒半，导致产品指标下降。Plivo 将语音号码视为文本字段，准确率从30%提升到90%以上。Hamming AI 监控的10,000个语音代理真实错误率约为10%，对抗性测试会破坏约五分之一的代理。EliseAI 通过后台代理处理慢速工具调用。实时语音模型在双方同时说话时可能停止。
These moments resonated: - Tolan's response latency drifted from two seconds to two and a half. That...
These moments resonated: - Tolan's response latency drifted from two seconds to two and a half. That half second tanked essentially every product metric, and users wrote in to say their companion had gotten slow. - Plivo treats a spoken phone number as a typed field with a validator, not a transcript. Accuracy went from about 30 percent to the mid nineties with no fine tuning. - Hamming AI monitors 10,000 production voice agents. The real error rate is nearer 10 percent, and adversarial testing breaks roughly one agent in five. - EliseAI has a background agent make the slow tool call and drop the result into context, so the main model believes it made the call itself. - Say mm hmm to a realtime voice model and it stops dead to apologize. On a real phone call, up to a fifth of the time both people are talking at once. Voice playlist: youtube.com/watch?v=LZuWZR… 💬 0 🔄 0 ❤️ 2 👀 357 ⚡
