InspireMusic
InspireMusic is a unified framework for high-fidelity long-form music, song, and audio generation, integrating super resolution and large language models. It generates high-quality music from text and audio prompts using an autoregressive transformer and a super-resolution flow-matching model, achieving long-form coherence and high sampling rates. The framework employs an audio tokenizer for efficient processing and reduces training costs while enhancing audio quality. It supports various tasks including text-to-music generation, music continuation, and music reconstruction, making it a versatile tool for audio creation.
Features
• High-fidelity long-form music generation • Text-to-music generation • Music continuation • Music reconstruction • Super-resolution flow matching model
Use Cases
• Long-form music generation • Text-to-music generation • Music continuation
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