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What is the Orchestral Dataset for AI-Generated Music?
"Orchestral" dataset offers a symphonic array of sounds to enhance compositions with timeless elegance and dramatic flair, equipped with detailed metadata for machine learning advancements.
What is the Orchestral Dataset used for?
The dataset is used for generative AI applications, musicological analysis, orchestration studies, and audio synthesis to unlock new frontiers in musical creativity and computational musicology.
How much does the Orchestral Dataset cost?
The pricing starts at $10,000 per year. Custom pricing models are available based on specific data requirements. Contact Rightsify for detailed pricing options.
Which countries does the Orchestral Dataset cover?
The dataset covers data from 249 countries like USA, China, Japan, Germany, and India. Rightsify, the provider, is headquartered in the United States of America.
What are the key use cases for the Orchestral Dataset?
The dataset is recommended for use in Machine Learning, Artificial Intelligence, Generative AI, AI Music, and Music Generation to enhance analytics and enrichment.