Track analysis

Spectrum Ripper

Masonna

In MusiMap's demo catalogue, "Spectrum Ripper" by Masonna maps to and Fight and Spooky among the strongest situational use cases. with Impulsive, Rebellious, and Wildness among the leading mood descriptors. Primary genre signals include Noise music and Experimental & Electronic music. instrumental-led production. Additional rhythmic or language cues include Chaotic. The editorial view is built only from structured analysis already visible on this page, offering a concise read on how the track can be understood and reused.

ISRC: — Duration: 3:33 Year: 2007 Analysis completed

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BPM

ⓘ

129

Confidence 98%

Key

ⓘ

C minor

Confidence 64%

Energy

ⓘ

93%

Danceability

ⓘ

77%

Track info

ⓘ

Artist: Masonna
Album: An Anthology of Noise Electronic Music / Fifth A-Chronology 1920-2007 [Disc 2]
Genre: Data & Other
Label: —
UPC: —
Explicit: No
Composer: —
Copyright: —

Technical

ⓘ

Format

Format: FLAC
Codec: FLAC
Channels: 2 (stereo)

Signal

Sample rate: 44100
Bit depth: 16
Bit rate: 1287063

Quality

ⓘ

HIGH

Lossless audio format detected.
Audio is stereo.
Sample rate is within a healthy range.

Rhythm

ⓘ

Beat regularity 96%

Beat confidence 100%

Onset density

0.08

Raw BPM

129.199

Loudness

ⓘ

Integrated LUFS

-6.97

RMS

0.3492

Peak

0.896

Dynamic range

5.57

Crest factor dB

8.18

Instrumental / vocal

ⓘ

Detected type

Instrumental

Source

DL override

Instr. probability

48%

Heuristic result

Vocal

Heuristic instrumental confidence 28%

Deep Learning override applied

Heuristic vocal detection was contradicted by Deep Learning voice-family tags.

Best instrumental tag: 100.0%

Key stability

ⓘ

Stability 19%

Primary key

C minor

Modulations

15

Tagging

ⓘ

Genres

Noise music 94%

Experimental & Electronic music 80%

Moods

Impulsive 100%

Rebellious 100%

Wildness 100%

Aggressive 99%

Performing 99%

Determined 96%

Extroversion 96%

Bitter 95%

Playfulness 94%

Energetic 93%

Free 93%

Powerful 92%

Wood (Out) 92%

Coldness 89%

Ground (On) 89%

Warrior 89%

Dynamism 87%

Organic 84%

Roots 80%

Depressed 78%

Air (Up) 72%

Metal (Down) 72%

Melodramatic 63%

Lively 59%

Heroic 57%

Temperament 47%

Happiness 43%

Revitalizing 32%

Warm-hearted 9%

Situations

Fight 100%

Spooky 80%

Rhythmic Moods

Chaotic 95%

Voice Families

Instrumental 100%

Key probabilities

ⓘ

C minor 22%

B major 15%

B minor 13%

D# minor 13%

C# minor 8%

G# major 8%

A# minor 7%

A# major 6%

F# major 5%

D# major 1%

Key modulations

ⓘ

16 unique keys

C minor 8x

33%

A# minor 6x

38%

G minor 4x

52%

B minor 4x

49%

C# minor 4x

30%

F major 3x

39%

D# minor 2x

49%

A major 2x

34%

A# major 2x

30%

F minor 1x

57%

A minor 1x

51%

G major 1x

49%

C major 1x

46%

D minor 1x

31%

G# minor 1x

28%

F# major 1x

21%

Spectral

ⓘ

Centroid

3788.48

Bandwidth

2759.5

Rolloff

7207.31

Flatness

0.1645

MFCC fingerprint

ⓘ

C1 100.0%

91.58

C2 34.0%

30.96

C3 33.0%

−30.4

C4 6.0%

5.43

C5 1.0%

1.31

C6 2.0%

2.05

C7 10.0%

−9.44

C8 6.0%

5.94

C9 5.0%

−4.48

C10 1.0%

0.74

C11 5.0%

−4.39

C12 1.0%

0.62

C13 4.0%

−4.09

Chorus detection

ⓘ

Primary 66.34 → 105.35

Confidence 1.0

#2 25.19 → 53.55

Confidence 0.999

#3 160.24 → 176.77

Confidence 0.998

#4 123.37 → 146.01

Confidence 0.997

#5 183.69 → 203.59

Confidence 0.996

Structure

ⓘ

Segment 1 0.3 → 6.22

Segment 2 6.22 → 16.51

Segment 3 16.51 → 25.19

Segment 4 25.19 → 39.98

Segment 5 39.98 → 53.55

Segment 6 54.92 → 61.81

Segment 7 61.81 → 66.34

Segment 8 66.34 → 82.43

Segment 9 82.43 → 105.35

Segment 10 105.35 → 110.09

Segment 11 110.09 → 121.84

Segment 12 123.37 → 146.01

Segment 13 147.21 → 150.95

Segment 14 150.95 → 160.24

Segment 15 160.24 → 176.77

Segment 16 176.77 → 183.69

Segment 17 183.69 → 203.59

Segment 18 203.59 → 209.89

Segment 19 209.89 → 212.51

19 segments detected.

Musical timeline

ⓘ

Segment 1 0.3 → 6.22s 5.92s

C minor · 39% Energy 93%

Segment duration 2.78%

Track energy 93%

Segment 2 6.22 → 16.51s 10.29s

C# minor · 37% Energy 93%

Segment duration 4.83%

Track energy 93%

Segment 3 16.51 → 25.19s 8.68s

C minor · 34% Energy 93%

Segment duration 4.08%

Track energy 93%

Segment 4 25.19 → 39.98s 14.79s

C# minor · 28% Energy 93%

Segment duration 6.94%

Track energy 93%

Segment 5 39.98 → 53.55s 13.57s

F# major · 21% Energy 93%

Segment duration 6.37%

Track energy 93%

Segment 6 54.92 → 61.81s 6.89s

B minor · 58% Energy 93%

Segment duration 3.23%

Track energy 93%

Segment 7 61.81 → 66.34s 4.53s

A# minor · 42% Energy 93%

Segment duration 2.13%

Track energy 93%

Segment 8 66.34 → 82.43s 16.09s

B minor · 41% Energy 93%

Segment duration 7.55%

Track energy 93%

Segment 9 82.43 → 105.35s 22.92s

G minor · 26% Energy 93%

Segment duration 10.76%

Track energy 93%

Segment 10 105.35 → 110.09s 4.74s

A# minor · 50% Energy 93%

Segment duration 2.23%

Track energy 93%

Segment 11 110.09 → 121.84s 11.75s

A# major · 25% Energy 93%

Segment duration 5.52%

Track energy 93%

Segment 12 123.37 → 146.01s 22.64s

G minor · 72% Energy 93%

Segment duration 10.63%

Track energy 93%

Segment 13 147.21 → 150.95s 3.74s

G major · 49% Energy 93%

Segment duration 1.76%

Track energy 93%

Segment 14 150.95 → 160.24s 9.29s

C major · 46% Energy 93%

Segment duration 4.36%

Track energy 93%

Segment 15 160.24 → 176.77s 16.53s

G minor · 49% Energy 93%

Segment duration 7.76%

Track energy 93%

Segment 16 176.77 → 183.69s 6.92s

F major · 25% Energy 93%

Segment duration 3.25%

Track energy 93%

Segment 17 183.69 → 203.59s 19.9s

G# minor · 28% Energy 93%

Segment duration 9.34%

Track energy 93%

Segment 18 203.59 → 209.89s 6.3s

B minor · 55% Energy 93%

Segment duration 2.96%

Track energy 93%

Segment 19 209.89 → 212.51s 2.62s

C minor · 37% Energy 93%

Segment duration 1.23%

Track energy 93%

19 segments mapped in the timeline.