Track analysis

Bleed

Meshuggah

In MusiMap's demo catalogue, "Bleed" by Meshuggah maps to and Fight, Young days, and Protest among the strongest situational use cases. with Rebellious, Performing, and Determined among the leading mood descriptors. Primary genre signals include Heavy Metal, Extreme metal, and Alternative rock. instrumental-led production. Additional rhythmic or language cues include Chaotic, Staccato, and English. 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: 7:23 Year: 2008 Analysis completed

BPM

152

Confidence 98%

Key

D# major

Confidence 66%

Energy

86%

Danceability

66%

Track info

Artist
Meshuggah
Album
obZen
Genre
Alternative Metal;Death Metal;Experimental;Heavy Metal;Metal;Progressive Metal;Rock;Thrash Metal
Label
Nuclear Blast
UPC
Explicit
No
Composer
Copyright

Technical

Format

Format
FLAC
Codec
FLAC
Channels
2 (stereo)

Signal

Sample rate
44100
Bit depth
16
Bit rate
1042131

Quality

HIGH

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

Rhythm

Beat regularity 96%
Beat confidence 79%

Onset density

1.897

Raw BPM

151.999

Loudness

Integrated LUFS

-11.61

RMS

0.2493

Peak

1.1659

Dynamic range

3.02

Crest factor dB

13.4

Instrumental / vocal

Detected type

Vocal

Source

DL override

Instr. probability

59%

Heuristic result

Instrumental

Heuristic instrumental confidence 38%

Deep Learning override applied

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

Best vocal tag: 98.0%

Key stability

Stability 39%

Primary key

D# major

Modulations

10

Tagging

Genres

Heavy Metal 98%
Extreme metal 91%
Alternative rock 51%
Nu Metal 26%

Moods

Rebellious 94%
Performing 92%
Determined 91%
Impulsive 89%
Powerful 89%
Wildness 89%
Warrior 88%
Playfulness 87%
Bitter 86%
Energetic 85%
Extroversion 85%
Aggressive 83%
Ground (On) 82%
Heroic 81%
Wood (Out) 81%
Dynamism 78%
Coldness 77%
Free 77%
Melodramatic 67%
Revitalizing 65%
Air (Up) 64%
Metal (Down) 60%
Depressed 54%
Temperament 50%
Organic 45%
Roots 43%
Lively 39%
Happiness 25%
Warm-hearted 22%
Good Vibrations 18%

Languages

English 100%

Situations

Fight 100%
Young days 92%
Protest 90%

Rhythmic Moods

Chaotic 87%
Staccato 20%

Voice Families

Low Pitched Vocal 98%

Key probabilities

D# major 25%
D# minor 20%
G# major 12%
C minor 12%
A# major 11%
G# minor 9%
B major 4%
G minor 3%
E minor 2%
E major 2%

Key modulations

11 unique keys
D# major 34x
55%
E major 18x
46%
D# minor 15x
48%
F minor 5x
45%
A# major 3x
72%
C# minor 3x
49%
G# minor 3x
47%
E minor 3x
45%
A minor 2x
35%
G# major 1x
77%
F major 1x
53%

Spectral

Centroid

2846.56

Bandwidth

2464.71

Rolloff

5472.61

Flatness

0.0551

MFCC fingerprint

C1 49.0%

30.41

C2 100.0%

62.36

C3 53.0%

−32.9

C4 48.0%

30.08

C5 11.0%

7.14

C6 21.0%

12.97

C7 23.0%

14.58

C8 37.0%

23.08

C9 12.0%

7.2

C10 12.0%

7.3

C11 1.0%

0.87

C12 10.0%

6.37

C13 0.0%

−0.05

Chorus detection

Primary 177.15 → 183.93

Confidence 1.0

Structure

Segment 1 0.3 → 177.15
Segment 2 177.15 → 183.93
Segment 3 183.93 → 253.0
Segment 4 285.19 → 388.1
Segment 5 388.1 → 442.73

5 segments detected.

Musical timeline

Segment 1 0.3 → 177.15s 176.85s
D# minor · 36% Energy 86%
Segment duration 39.92%
Track energy 86%
Segment 2 177.15 → 183.93s 6.78s
E major · 41% Energy 86%
Segment duration 1.53%
Track energy 86%
Segment 3 183.93 → 253.0s 69.07s
E major · 36% Energy 86%
Segment duration 15.59%
Track energy 86%
Segment 4 285.19 → 388.1s 102.91s
E minor · 38% Energy 86%
Segment duration 23.23%
Track energy 86%
Segment 5 388.1 → 442.73s 54.63s
E major · 56% Energy 86%
Segment duration 12.33%
Track energy 86%

5 segments mapped in the timeline.