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MusicLM is an innovative music generating system that leverages hierarchical sequence-to-sequence modeling to create high-quality music at 24 kHz, which remains consistent over several minutes. The method exceeds earlier music generating algorithms in terms of audio quality and conformance to written descriptions. Key Features: • Conditional music production via hierarchical sequence-to-sequence modeling. • High-quality music output @ 24 kHz. • Music remains steady over extended durations. • Can be conditioned on both text and melodic inputs. • Publicly available MusicCaps dataset for future research. Use Cases: Create fresh, high-quality music based on text descriptions for diverse projects. Transform whistled or hummed melodies according to the style given in a text caption. Enhance video or film projects with custom-generated music. Produce creative background music for podcasts, presentations, or live performances. Advance research in the realm of music generation utilizing the MusicCaps dataset. MusicLM is a cutting-edge solution for generating unique, high-quality music that adheres to provided text descriptions. By conditioning the system on both word and melody inputs, users can generate personalized music that corresponds with their creative idea. The release of the MusicCaps dataset significantly assists the continuing study in the field of music generation.

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