MusicExtractor¶
standard mode | Extractors category
Inputs¶
filename(string) - the input audiofile
Outputs¶
results(pool) - Analysis results pool with across-frames statistics
resultsFrames(pool) - Analysis results pool with computed frame values
Parameters¶
analysisSampleRate(real ∈ (0, ∞), default = 44100) :the analysis sampling rate of the audio signal [Hz]
chromaprintCompute(bool ∈ {true, false}, default = false) :compute the Chromaprint
chromaprintDuration(real ∈ [0, ∞), default = 0) :the amount of time from the beginning used to compute the Chromaprint. 0 to use the full audio length [s]
endTime(real ∈ [0, ∞), default = 1e+06) :the end time of the slice you want to extract [s]
gfccStats(vector_string, default = [“mean”, “cov”, “icov”]) :the statistics to compute for GFCC features
highlevel(vector_string) :list of high-level classifier models (gaia2 history filenames) to apply using extracted features. Skip classification if not specified (empty list)
loudnessFrameSize(integer ∈ (0, ∞), default = 88200) :the frame size for computing average loudness
loudnessHopSize(integer ∈ (0, ∞), default = 44100) :the hop size for computing average loudness
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
lowlevelSilentFrames(string ∈ {drop, keep, noise}, default = noise) :whether to [keep/drop/add noise to] silent frames for computing low-level features
lowlevelStats(vector_string, default = [“mean”, “var”, “stdev”, “median”, “min”, “max”, “dmean”, “dmean2”, “dvar”, “dvar2”]) :the statistics to compute for low-level features
lowlevelWindowType(string ∈ {hamming, hann, triangular, square, blackmanharris62, blackmanharris70, blackmanharris74, blackmanharris92}, default = blackmanharris62) :the window type for computing low-level features
lowlevelZeroPadding(integer ∈ [0, ∞), default = 0) :zero padding factor for computing low-level features
mfccStats(vector_string, default = [“mean”, “cov”, “icov”]) :the statistics to compute for MFCC features
profile(string) :profile filename. If specified, default parameter values are overwritten by values in the profile yaml file. If not specified (empty string), use values configured by user like in other normal algorithms
requireMbid(bool ∈ {true, false}, default = false) :ignore audio files without musicbrainz recording id tag (throw exception)
rhythmMaxTempo(integer ∈ [60, 250], default = 208) :the fastest tempo to detect [bpm]
rhythmMethod(string ∈ {multifeature, degara}, default = degara) :the method used for beat tracking
rhythmMinTempo(integer ∈ [40, 180], default = 40) :the slowest tempo to detect [bpm]
rhythmStats(vector_string, default = [“mean”, “var”, “stdev”, “median”, “min”, “max”, “dmean”, “dmean2”, “dvar”, “dvar2”]) :the statistics to compute for rhythm features
startTime(real ∈ [0, ∞), default = 0) :the start time of the slice you want to extract [s]
tonalFrameSize(integer ∈ (0, ∞), default = 4096) :the frame size for computing tonal features
tonalHopSize(integer ∈ (0, ∞), default = 2048) :the hop size for computing tonal features
tonalSilentFrames(string ∈ {drop, keep, noise}, default = noise) :whether to [keep/drop/add noise to] silent frames for computing tonal features
tonalStats(vector_string, default = [“mean”, “var”, “stdev”, “median”, “min”, “max”, “dmean”, “dmean2”, “dvar”, “dvar2”]) :the statistics to compute for tonal features
tonalWindowType(string ∈ {hamming, hann, triangular, square, blackmanharris62, blackmanharris70, blackmanharris74, blackmanharris92}, default = blackmanharris62) :the window type for computing tonal features
tonalZeroPadding(integer ∈ [0, ∞), default = 0) :zero padding factor for computing tonal features
Description¶
This algorithm is a wrapper for Music Extractor. See documentation for ‘essentia_streaming_extractor_music’.
Source code¶
See also¶
Extractor (standard)