Rightsify’s GCX: Your Go-To Source for High-Quality, Ethically Sourced, Copyright-Cleared AI Music Training Datasets with Rich Metadata

Rightsify’s GCX: Your Go-To Source for High-Quality, Ethically Sourced, Copyright-Cleared AI Music Training Datasets with Rich Metadata

Rightsify’s Global Copyright Exchange (GCX)

Practical Solutions and Value

Rightsify’s GCX offers vast collections of copyright-cleared music datasets tailored for machine learning and generative AI music initiatives. These datasets encompass millions of hours of music, over 10 million recordings and compositions accompanied by comprehensive metadata, facilitating training and commercial usage.

Text, Stem, MIDI, and sheet music pairings for audio are bundled with their AI music datasets, furnishing comprehensive resources for ML projects. Also, their library features an expansive range of over 1000 instruments, representing diverse cultural heritages worldwide and promoting inclusivity and global representation in AI music models.

Developing a robust AI for music necessitates vast, high-quality training data comprising diverse solo instruments and MIDI files. While scraping online sources may seem tempting, it risks copyright infringement lawsuits and devalues human music creators in addition to being low quality data with limited text pairs.

Armed with a conscientiously assembled and extensively annotated dataset (Manual annotation by human music experts), AI music developers are primed to pioneer innovative products. Rightsify’s GCX manually annotates all musical data by a large team of experienced musicians, ensuring efficient research preprocessing and accurate labeling of text pairs across the dataset.

Rightsify built a substantial database library by purchasing music rights from artists while cataloging its collection over its decade plus of being in business. This library systematically categorizes songs, capturing key, tempo, chords, instrumentation, song structures, time signature, genre and more.

Having absolute copyright ownership of the data, Rightsify offers indemnity to developers for employing the data in their models commercially. Furthermore, the datasets are accessible for research purposes and universities.

GCX’s comprehensive music datasets enable large scale music models that elevate creativity and efficiency. From crafting personalized songs to seamlessly integrating background music into video content, their legally compliant and diverse datasets guarantee exceptional quality and commercially-safe AI models. These datasets also help improve source separation, genre classification, mood detection, music recommendation, synthetic data creation, and more.

Four major use cases for Rightsify’s datasets:

AI Music Generation: Music datasets enable generative models to create novel and coherent musical compositions.

Source Separation: Music datasets are crucial for training models in audio source separation tasks.

Music Information Retrieval (MIR): Music datasets form the backbone of Music Information Retrieval research.

Music Recommendation: Music datasets enable personalized recommendations based on musical characteristics.

Rightsify launched GCX in 2023 and created the data licensing framework for legally clean AI music. GCX provides datasets with over 4.4 million hours of audio and 32 billion metadata text pairs, totaling over 3 petabytes of music data. Rightsify has granted licenses to six AI developers thus far, from startups to big tech companies. The team continually expands the dataset, adding thousands of new tracks and text pairs weekly.

In conclusion, GCX is the leading data licensing provider fueling the realm of AI Music datasets. It facilitates the ethical licensing and copyright clearance of premium training datasets essential for AI-driven music endeavors. Spearheaded by Rightsify’s groundbreaking launch of the World’s 1st AI Music Dataset Licensing Service in 2023, GCX has pioneered a framework ensuring the legality of AI-generated music for commercial utilization. Its five essential aspects make it the World’s 01 choice for AI Music Datasets:

Ethically Sourced, Copyright Cleared, High-Quality Files, Rich Metadata, Unlimited Customization

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