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Soul-AILab/SoulX-Singer-Eval — A Benchmark and Evaluation Suite for Zero-shot Singing Voice Synthesis

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9 stars | 0 forks | Python

A Benchmark and Evaluation Suite for Zero-shot Singing Voice Synthesis

What it does

SoulX-Singer-Eval is an evaluation suite designed for zero-shot singing voice synthesis, focusing on various quality metrics such as aesthetics, pronunciation, and speaker similarity. This tool is essential for researchers and developers working on improving SVS systems, providing a standardized way to assess their performance.

Why it matters: Unlock the future of singing voice synthesis with SoulX-Singer-Eval – the ultimate evaluation suite for SVS systems!

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