Extractor¶
standard mode | Extractors category
Inputs¶
audio(vector_real) - the input audio signal
Outputs¶
pool(pool) - the pool where to store the results
Parameters¶
dynamics(bool ∈ {true, false}, default = true) :compute dynamics’ features
dynamicsFrameSize(integer ∈ (0, ∞), default = 88200) :the frame size for level dynamics
dynamicsHopSize(integer ∈ (0, ∞), default = 44100) :the hop size for level dynamics
highLevel(bool ∈ {true, false}, default = true) :compute high level features
lowLevel(bool ∈ {true, false}, default = true) :compute low level features
lowLevelFrameSize(integer ∈ (0, ∞), default = 2048) :the frame size for computing low level features
lowLevelHopSize(integer ∈ (0, ∞), default = 1024) :the hop size for computing low level features
midLevel(bool ∈ {true, false}, default = true) :compute mid level features
namespace(string, default = “”) :the main namespace under which to store the results
relativeIoi(bool ∈ {true, false}, default = false) :compute relative inter onset intervals
rhythm(bool ∈ {true, false}, default = true) :compute rhythm features
sampleRate(real ∈ (0, ∞), default = 44100) :the audio sampling rate
tonalFrameSize(integer ∈ (0, ∞), default = 4096) :the frame size for low level tonal features
tonalHopSize(integer ∈ (0, ∞), default = 2048) :the hop size for low level tonal features
tuning(bool ∈ {true, false}, default = true) :compute tuning frequency
Description¶
This algorithm extracts all low-level, mid-level and high-level features from an audio signal and stores them in a pool.