DiffSinger

What is DiffSinger?

DiffSinger is an open-source singing voice synthesis system based on diffusion probabilistic models. It generates high-quality, expressive singing voices from text and musical scores, supporting both Mandarin and English. Maintained by MoonInTheRiver and the open-source community, it is a leading tool in the field of artificial singing.

Key Features

• High-Fidelity Synthesis: Uses diffusion models to generate high-quality audio waveforms with natural expressiveness.
• Multilingual Support: Supports singing in Mandarin and English with precise phoneme and pitch control.
• Multi-Singer and Multi-Style Modeling: Can be trained on multiple voices and singing styles.
• Comprehensive Training and Inference Pipelines: Provides complete tools for training and inference with pre-trained models.
• Vocoder Integration: Integrates with popular vocoders like HiFi-GAN and NSF-HiFiGAN for waveform generation.

How It Works

DiffSinger leverages a diffusion model architecture, where the model is trained to convert text and musical scores into acoustic representations, then uses a vocoder to convert them into audible sound. Users can input lyrics and musical notes, and the system generates natural-sounding artificial singing. It also supports control over pitch, rhythm, and expression.

Use Cases

DiffSinger is used in music production, demo creation, virtual singing applications, and academic research in audio processing. Being open-source, developers can customize and train it on their own data.