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Recently, Tongyi Laboratory officially open-sourced its innovative music generation technology - InspireMusic. This technology aims to create an open-source AIGC toolkit that integrates music, song, and audio generation capabilities, providing researchers, developers, and music enthusiasts with a comprehensive creative platform. InspireMusic offers researchers and developers rich tools for training and fine-tuning music/song/audio generation models, as well as efficient models to optimize generation results. Meanwhile, this toolkit...

Recently, the globally renowned text-to-music model Suno has unveiled a stunning new feature - 'Covers', which means that users can simply press a button to cover songs in any style! Imagine being able to upload a popular song to Suno, and the AI will identify elements such as the score, instruments, rhythm, and melody, and recreate it in your chosen new style. The magic of this technology lies in the fact that while the overall rhythm and melody may change, the core essence of the original song is still preserved.

Recently, Meta quietly released six research achievements that bring new applications and technological breakthroughs to the field of AI. These include a multimodal model, a text-to-music generation model, audio watermarking technology, datasets, and several other projects. Let's take a closer look at these research achievements.