# The Deam 2013-2014 dataset are all 45 second samples # Looking to match with up with Grekow's results with Weka # using his private dataset where users rated Arousal # and Valence after listening to 6 seconds of music # **** # **** # **** # **** # The following needs to be dynamically set for the AMC dataset # ASSERT: (endTime - startTime) = 6 secs, just like the DEAM dataset startTime: @startTime@ endTime: @endTime@ # **** # **** # **** # No need for Frame output in AMC dataset ##outputFrames: 1 outputFormat: json #requireMbid: false # Standardize on 44.1 kHz as a sample rate analysisSampleRate: 44100.0 lowlevel: # 2048 and 1024 are the extractors reported default values # frameSize: 2048 # hopSize: 1024 # Considered working with a slightly bigger framesize # frameSize: 4096 # hopSize: 2048 # Ultimately decided to work with slightly bigger framesize # align with 100msec intervales to better mesh with DEAM # ground-truth data # # => At 44.1 kHz analysisSampleRate, a hop size of 2205 produces # a frame of data for every 0.1 sec of audio frameSize: 4096 hopSize: 2205 # The following are some example values from the Essentia web page on extractor CLI tool # zeroPadding: 0 # windowType: blackmanharris62 # silentFrames: noise # stats: ["mean", "var", "median", "min", "max", "dmean", "dmean2", "dvar", "dvar2"]