README.md

metadata

title: micro-TCN
emoji: 🎛️
colorFrom: red
colorTo: yellow
sdk: gradio
sdk_version: 6.24.0
python_version: '3.12'
app_file: app.py
pinned: false
license: apache-2.0
short_description: Emulates an LA-2A compressor with a small TCN
tags:
  - category:effects
  - subcategory:neural-analog-effects
  - domain:music
  - input:audio
  - output:audio
  - sample-rate:44100
  - channels:mono
  - compressor
  - limiter
  - analog-emulation
startup_duration_timeout: 1h

HARP endpoint for micro-TCN, a lightweight temporal convolutional network that emulates the Teletronix LA-2A optical compressor/limiter.

The model takes two conditioning parameters, mode (compress or limit) and peak reduction, which map to the hardware controls of the original LA-2A.

This deployment uses the causal uTCN-300 variant (302 ms receptive field), with the pretrained weights of the author mirrored on the Hub.

The input is mixed to mono and resampled to 44.1 kHz for the model. The result keeps the length of the input, and is resampled back to its rate and copied across its channels. The endpoint accepts clips from 0.5 to 30 seconds.

Source attribution is recorded in SOURCES.md.