GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks Y u Zhang

Neural Information Processing Systems 

To tackle these problems, we present GTSinger, a large G lobal, multi-T echnique, free-to-use, high-quality singing corpus with realistic music scores, designed for all singing tasks, along with its benchmarks. Particularly, (1) we collect 80.59 hours of high-quality singing voices, forming the largest recorded singing dataset; (2) 20 professional singers across nine widely spoken languages offer diverse timbres and styles; (3) we provide controlled comparison and phoneme-level annotations of six commonly used singing techniques, helping technique modeling and control; (4) GTSinger offers realistic music scores, assisting real-world musical composition; (5) singing

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