Audio Diffusion Models
Blog post from Fish Audio
Fish Diffusion is an open-source framework designed for audio generation tasks such as text-to-speech (TTS), singer voice conversion (SVC), and singing voice synthesis (SVS). It emphasizes modularity, allowing components like acoustic models and conditioning signals to be easily interchangeable, with models capable of producing either spectrograms or raw waveforms. The framework supports various architectures, such as diffusion-based models for generating mel-spectrograms and HiFiSinger-style models for waveforms, all unified by similar configuration and training patterns. Fish Diffusion's design facilitates the swapping of text, speaker, pitch, and energy encoders through registry-based systems, making it well-suited for multi-speaker environments, prosody-heavy tasks, and rapid experimentation with feature stacks. The platform offers tools like OpenAudio S1 for users to explore audio generation capabilities.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Voice AI | 1 | 1,473 | 191 | 52 | +34% |
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