<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>NeurIPS on AI 实战派 · 从技术到赚钱</title><link>https://guijiagi.com/tags/neurips/</link><description>Recent content in NeurIPS on AI 实战派 · 从技术到赚钱</description><generator>Hugo</generator><language>zh-cn</language><copyright>本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权</copyright><lastBuildDate>Thu, 22 Oct 2026 14:42:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/neurips/index.xml" rel="self" type="application/rss+xml"/><item><title>「NeurIPS 2026基准RVCBench评测18个语音克隆模型」像不像真人怎么量化？</title><link>https://guijiagi.com/posts/2026-10-22-07-rvcbench-neurips-voice-cloning-robustness/</link><pubDate>Thu, 22 Oct 2026 14:42:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-22-07-rvcbench-neurips-voice-cloning-robustness/</guid><description>NeurIPS 2026收录RVCBench，系统评测18个语音克隆模型在真实世界中的鲁棒性，提出克隆得像不等于可用，关注噪声、口音和长时一致性等实战维度。</description></item></channel></rss>