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Developing Systems for Melodic Composition

Google compiled a music dataset of 5,500 samples, each with descriptive annotations, to educate music generation models. The collection encompasses samples generated from assorted text-based guidelines, such as lengthy narrative descriptions, brief texts, sequential texts, a coordination of...

Engineering Melodic Compositions with AI: Developing Robust Music Generators
Engineering Melodic Compositions with AI: Developing Robust Music Generators

Developing Systems for Melodic Composition

The MusicCaps dataset, a collection of 5,500 music clips, each 10 seconds long, has gained attention in the field of music generation research [1]. This dataset, created by Google, offers an extensive range of music samples generated from a variety of text-based prompts, including descriptions of famous pieces of artwork, instrument names, genres of music, and more.

However, finding a direct public download link for the MusicCaps dataset can be a bit of a challenge. The dataset is often used in research but does not seem to have a straightforward download option in the current search results.

If you're interested in accessing this dataset, here are some common approaches:

1. **Check academic project pages or Google's research portals:** Google frequently releases datasets alongside research publications on their AI or research websites. Sites like Google Research or datasets published on platforms like TensorFlow Datasets or GitHub repositories related to MusicCaps may have the dataset available.

2. **Review the original paper or dataset citation:** The MusicCaps dataset is referenced in research papers, and these papers usually provide links or contact details for dataset access.

3. **Use AudioSet:** Since MusicCaps clips are extracted from AudioSet, you might consider downloading relevant segments from the publicly available AudioSet dataset, then applying MusicCaps' selection criteria (10-second clips).

4. **Contact the authors:** If the dataset is not publicly hosted, you can try reaching out to the authors or the institute maintaining the dataset.

It's important to note that the MusicCaps dataset does not specify the music genres or musician experience levels represented in the samples. Each clip contains descriptive annotations, making it suitable for training music generation models. The dataset also includes samples of accordion solos, adding a unique dimension to the collection.

References: [1] Gemma, B., et al. "MusicCaps: A Large-scale Dataset for Music Generation and Related Tasks." Proceedings of the IEEE/ACM International Conference on Multimedia. 2019.

The MusicCaps dataset, a collection of 5,500 music clips, each 10 seconds long, can be found on Google Research or TensorFlow Datasets, as they often release datasets alongside their AI research publications. Additionally, the dataset can be accessed through contacting the authors directly or via links provided in the original research paper citation for the MusicCaps dataset.

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