MESIE Broadcast Spectral Signal Mastering Engine (MESIE-Spectral-Engine-v1)

Master 1.4M-Parameter PyTorch Spectral Transformer for 7-Band Equalization, EBU R128 Loudness Normalization, and Broadcast Audio Mastering.

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Executive Overview

MESIE-Spectral-Engine-v1 is a broadcast audio processing model powered by 1,435,399 PyTorch parameters. Engineered for Broadcast Audio Engineers and Streaming Platforms, the model decomposes 8-channel acoustic inputs into 7 standardized frequency bands (Sub-Bass to Brilliance) and enforces ITU-R BS.1770-4 / EBU R128 loudness compliance (-23 LUFS integrated, -1.0 dBTP ceiling).

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Integration Example

from agent_helper import MESIESpectralEnginev1Agent

agent = MESIESpectralEnginev1Agent()

master = agent.master_broadcast_audio_track(audio_signal_8chan=[[0.1]*8]*10)
print(master)

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License

Apache 2.0