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Audio Diffusion Models

Blog post from Fish Audio

Post Details
Company
Date Published
Author
Shijia Liao
Word Count
251
Company Posts That Month
7
Language
English
Hacker News Points
-
Post removed?
No
Summary

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.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Voice AI 1 1,473 191 52 +34%
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