RLAC - Radio Live A La Carte
Collection
A collection of models for automated segmentation of live radio broadcasts, leveraging both raw audio signals and text transcriptions to identify show • 3 items • Updated
RLAC Audio Segmenter - Chroniques
Description
This is version 0.1 of a Random Forest classifier designed for radio audio segmentation. It identifies specific audio segments (columns, features, or ads) within long radio broadcasts.
https://huggingface.co/eglantinefonrose/rlac-audio-segmenter-chroniques
Model Details
- Type: Random Forest Classifier
- Input: 3-second audio segments
- Features: MFCC (13), Spectral Energy (4 bands), Zero-Crossing Rate, RMS, Spectral Centroid, Rolloff, and Bandwidth.
- Version: v0.1
Usage
The model is trained to distinguish between targeted content and background broadcast material. It uses a confidence threshold of 0.89 to minimize false positives during the detection phase.
Author
Maintained by eglantinefonrose.
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