The Wyverno team is proud to introduce Wyverno Aelyne — a new AI-powered audio processing service built around our proprietary neural model, Aelyne v1.
Wyverno Aelyne introduces a fundamentally new approach to audio production, enabling professional-grade audio processing through simple natural language instructions. Users no longer need to manually configure complex effect chains or work with large amounts of technical parameters — it is enough to simply describe the desired result in plain language.
To begin, the user only needs to upload an audio file and describe how the final sound should be transformed. The system then automatically analyzes the request, generates an optimal audio processing chain, and applies the appropriate parameters to the uploaded material.
How the Model Works
At the core of the service is Aelyne v1 — a proprietary AI model developed by the Wyverno team specifically for intelligent audio processing tasks.
The model analyzes the user’s text instruction, determines the desired sonic characteristics, and automatically makes decisions regarding:
- selection of the required audio effects;
- configuration of effect parameters;
- intensity and behavior of signal processing.
After completing the analysis, the system builds a complete processing chain and applies it to the original audio material.
At the current stage, Wyverno Aelyne supports the following effects:
- Noise Gate
- Parametric EQ
- Compressor
- Drive (Distortion)
- Basic Delay
- Reverb
- Limiter
The model independently determines which effects are required to achieve the requested result and automatically selects the optimal parameters for each stage of the processing chain.
Interactive Result Refinement
One of the key features of Wyverno Aelyne is the ability to iteratively refine the generated result through additional text instructions.
After receiving the initial output, users can continue adjusting the sound by describing further changes in natural language. For example:
- “make the reverb more pronounced”
- “reduce the distortion”
- “add a telephone call effect”
- “make the voice cleaner and softer”
In response, the model re-analyzes the request, adjusts the effect parameters, and reprocesses the original audio while preserving the overall character of the sound and applying only the requested modifications.
This approach allows users to interact with the system in the form of a natural dialogue, significantly simplifying the process of achieving the desired audio result.
Use Cases
Wyverno Aelyne can be used for a wide range of applications, including:
- voice and vocal processing;
- podcast production;
- audio preparation for video content;
- atmospheric sound creation;
- sound design;
- creative audio experimentation;
- rapid audio processing prototyping.
The system is designed to preserve the structure and identity of the original audio material while performing intelligent signal processing without altering the essence of the content itself.
Project Status
At the current stage, Wyverno Aelyne is available as part of an open beta testing phase. The Wyverno team is actively working on expanding the supported effect library, improving processing quality, and introducing new capabilities.
During the beta period, the service is available free of charge.
Wyverno Aelyne represents a new step in the evolution of AI-powered audio tools, combining advanced machine learning technologies with a simple and intuitive user experience.