Worked on the comfyanonymous/ComfyUI repository to enhance the LTX Audio VAE by removing normalization during MEL spectrogram creation, ensuring that inference conditions now match those used during training. This adjustment addressed the issue of loud audio attenuation, preserving the original characteristics of input signals and resulting in higher fidelity for audio generation tasks. The update also simplified the audio processing pipeline, reducing complexity and potential maintenance challenges. Leveraging Python and applying expertise in audio processing, data normalization, and machine learning, the work focused on improving both the technical robustness and the predictability of outputs for end users.