https://www.selleckchem.com/products/lc-2.html
These models also produced accurate annoyance predictions. BSEL was the best single-metric predictor, with ESEL close behind. Including Heaviness, Duration, and rate of change of Loudness resulted in R2 values as high as 0.90.This article presents a polyphonic pitch tracking system that is able to extract both framewise and note-based estimates from audio. The system uses several artificial neural networks trained individually in a deep layered learning setup. First, cascading networks are applied to a spectrogram for framewise fundamental
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