Suno releases its first AI music model made with record industry help

Suno 发布了首个在唱片行业协助下开发的 AI 音乐模型

Suno’s new v6 AI music model is its first made with support from the record industry. Suno’s Jack Brody told The Verge that v6 was “trained from the ground up, with a new set of data that does not include the same data that our previous models were trained on.” The data includes content licensed from partners Warner Music Group, BMG, and Believe, as well as “user data.” It’s unclear whether that means v6 training data is completely free of dubiously obtained content.

Suno 的全新 v6 AI 音乐模型是其首个在唱片行业支持下开发的产品。Suno 的 Jack Brody 告诉《The Verge》，v6 是“从零开始训练的，使用了一套全新的数据，其中不包含我们之前模型所使用的训练数据。”这些数据包括从合作伙伴华纳音乐集团（Warner Music Group）、BMG 和 Believe 处获得授权的内容，以及“用户数据”。目前尚不清楚这是否意味着 v6 的训练数据完全排除了来源存疑的内容。

One of the big changes in v6 is that there are actually three different models: v6, v6-wild, and v6-mini. Mini is the model available for free to all. It’s focused on fast, resource-light creation. The results it spits out are simpler and often have more artifacts that betray it as the product of an AI prompt. v6-wild is supposed to be more unpredictable. Brody said that v6-wild is designed for “happy accidents and natural imperfections.” Though, in my limited testing, I found it hard to notice a difference between wild and bog-standard v6.

v6 的一大重要变化是它实际上包含了三个不同的模型：v6、v6-wild 和 v6-mini。Mini 模型面向所有用户免费开放，专注于快速、轻量化的创作。它生成的音乐结果较为简单，且往往带有更多能看出是 AI 生成痕迹的伪影。v6-wild 则旨在提供更多不可预测性。Brody 表示，v6-wild 的设计初衷是为了产生“美丽的意外和自然的瑕疵”。不过，在我有限的测试中，我很难察觉到 wild 版本与标准版 v6 之间的明显区别。

All three models are dramatically better at understanding genre. I recycled a handful of prompts that I used with older models calling for “hyperpop” or “krautrock” songs that missed the mark by a mile. v6, on the other hand, nailed all the superficial hallmarks of any genre I threw at it.

这三个模型在理解音乐流派方面都有了显著提升。我重新使用了之前在旧模型中尝试过的一些提示词，要求生成“Hyperpop”或“Krautrock”风格的歌曲，旧模型往往会大失水准。而 v6 则精准地捕捉到了我所要求的所有流派的表面特征。

What it remains incapable of doing, however, is actually delivering on the “natural imperfections.” As with v5, my attempts to get off-key, out-of-tune, or slightly dissonant results failed every time. No matter how hard you push Suno’s v6, it remains incapable of making anything other than harmonic and rhythmic perfection. Tell it you want “monotone vocals” and “no drums,” and it straight-up ignores you (see below). Repeated demands for “out-of-tune piano played haphazardly, with no regard for key or rhythm” that was “fully out of tune with the rest of the song,” delivered nothing of the sort.

然而，它依然无法真正实现所谓的“自然瑕疵”。和 v5 一样，我试图让它生成走调、失准或略带不和谐音效的尝试每次都以失败告终。无论你如何强行要求，Suno 的 v6 依然只能生成在和声与节奏上近乎完美的作品。如果你要求它生成“单调的人声”和“无鼓点”，它会直接无视你的指令（见下文）。我多次要求生成“随意弹奏、不顾调式或节奏的走调钢琴”，且要“与歌曲其余部分完全不合拍”，但最终得到的结果完全不是那么回事。

It does retain the unnatural imperfections of AI music, with vocals especially seeming to produce more of the harsh-edged artifacts common with AI models than v5 did.

它确实保留了 AI 音乐那种“不自然的瑕疵”，尤其是人声部分，似乎比 v5 产生了更多 AI 模型中常见的刺耳伪影。

Suno’s v6 also has some under-the-hood updates that can fundamentally change how people interact with it. Now users can edit parts of a song using plain language within a chat, and changing individual elements like a guitar line or a single lyric doesn’t require regenerating the entire track. v6 can also mash together multiple elements from your Suno library, combining outputs into new creations.

Suno v6 还进行了一些底层更新，这可能会从根本上改变用户与它的交互方式。现在，用户可以在聊天中使用自然语言编辑歌曲的特定部分，修改吉他旋律或单句歌词等独立元素时，无需重新生成整首曲目。v6 还可以将你 Suno 库中的多个元素进行混搭，将不同的输出组合成全新的创作。

Prompts are also no longer limited to text descriptions. Suno v6 can create tracks based on images, video, or other audio.

提示词也不再局限于文本描述。Suno v6 现在可以基于图像、视频或其他音频来创作曲目。

Suno v6 starts rolling out today, and the company says it will eventually retire its previous models.

Suno v6 从今天开始陆续推出，公司表示最终将淘汰其之前的模型版本。