智东西11月20日消息，昨晚，美国AI音乐创作平台Suno宣布完成2.5亿美元（约合人民币17.77亿元）的C轮融资，公司估值达24.5亿美元（约合人 民币174.15亿元），较去年5月的5亿美元（约合人民币35.54亿元）估值翻了近五倍。据《华尔街日报》报道，Suno的年收入已达2亿美元（约合 人民币14.22亿元）。 本轮融资由Menlo Ventures领投，英伟达旗下风投机构NVentures、Hallwood Media、光速创投以及Matrix参投，新资金将帮助Suno加速推进产品开 发，构建创作者、听众、音乐行业都能参与进来的生态系统。 ▲Suno官宣博客（来源：Suno） 此前，Suno曾于2024年5月22日宣布获得1.25亿美元（约合人民币8.88亿元）融资，光速创投、Nat Friedman、Daniel Gross等参投，彼时Suno估值 为5亿美元（约合人民币35.54亿元）。 Suno创立于2022年，专注于AI音乐生成领域，开发了能直接生成完整歌曲的Suno模型，仅需文字描述便可生成包含人声、歌词、编曲、混音等的 歌曲。目前，Suno已推出了最新的v5版本，官方宣称v5是世界上最 ...

Core Viewpoint - The article emphasizes the rapid evolution of AI music generation products, highlighting the need for a comprehensive evaluation of their capabilities in real-world applications [2][3]. Group 1: Overview of AI Music Generators - Seven representative AI music generation products were selected for evaluation, including Suno, ElevenLabs, Udio, and others, showcasing a mix of international and Chinese companies [5][6]. - The evaluation focused on practical tasks relevant to everyday users, assessing aspects like generation speed, cost, seamless looping, lyric matching, Chinese pronunciation, and export formats [4][9]. Group 2: Evaluation Process - The evaluation involved five representative use cases to simulate the process of generating music from scratch, ensuring a realistic assessment of each product's performance [9][10]. - All products were tested under default settings to reflect the experience of ordinary users without any adjustments [10]. Group 3: Performance Results - For background music suitable for corporate events, Suno and ElevenLabs were noted for their alignment with commercial needs, although neither supported seamless looping [13]. - In the meditation music category, ElevenLabs, Udio, and Suno excelled in creating a natural atmosphere, with Suno particularly noted for its emotional control [17][20]. - For suspenseful horror film openings, Suno and ElevenLabs demonstrated strong atmospheric creation, while Udio was recognized for its intense rhythm suitable for promotional content [18][23]. - In the R&B category, Suno and Udio showed strong structural awareness, effectively completing song structures based on provided lyrics [28]. - For mimicking Jay Chou's style, Suno and Mureka performed best, but overall results indicated significant challenges in accurately replicating specific musical styles [32][34]. Group 4: Product Differentiation - The AI music products displayed clear differentiation in functionality, creative paths, and application scenarios, contrasting with the more integrated approach seen in AI video products [36]. - Suno was highlighted as a versatile platform with excellent stability and completion rates, while ElevenLabs focused on visualizing song structures for precise control [37]. Group 5: Future Predictions - The future of AI music products is expected to follow two parallel paths: one aimed at professional creators for efficiency and inspiration, and the other catering to general users for quick content generation [40]. - Innovations may lead to collaborative AI systems that assist in music creation, moving beyond simple one-click generation to more interactive processes [41]. - The development of clearer copyright regulations and style imitation guidelines is anticipated as the industry matures [42].