Amphion is a toolkit for audio, music, and speech generation that supports reproducible research and helps junior researchers and engineers enter the field of audio generation.
The toolkit addresses the challenge of implementing and understanding audio generation models by providing a unified platform for multiple generation tasks including text-to-speech, singing voice synthesis, voice conversion, accent conversion, singing voice conversion, and text-to-audio. A distinctive feature is its inclusion of model architecture visualizations designed to help junior researchers understand how classic models work. The toolkit also provides vocoders for producing high-quality audio signals and evaluation metrics to ensure consistent measurement across generation tasks.
Amphion suits researchers and engineers working on audio generation who need both implementation frameworks and educational resources. The toolkit is particularly valuable for those new to the field who benefit from architectural visualizations alongside working code. It supports individual generation tasks at different maturity levels, with text-to-speech, singing voice synthesis, voice conversion, accent conversion, singing voice conversion, and text-to-audio marked as supported, while text-to-music is noted as in development. The project includes large-scale dataset building capabilities for real-world applications like speech synthesis.
The project maintains active engagement across multiple platforms including model repositories and community channels. Development activity shows ongoing work across diverse generation tasks with varying levels of completion. The toolkit receives contributions addressing both core generation functionality and supporting infrastructure like vocoders and evaluation systems.
