Track analysis

Raining Blood

Slayer

Featured in MusiTag Demo Dataset, "Raining Blood" by Slayer illustrates the breadth of MusiMap's semantic coverage. Primary genre signals include Heavy Metal, Extreme metal, and Alternative rock. with Rebellious, Wildness, and Determined among the leading mood descriptors. and Fight and Adrenaline (sports & action) among the strongest situational use cases. instrumental-led production. The track presents a high-energy profile. The result is a practical demo of explainable tagging grounded in musicological expertise.

ISRC: — Duration: 4:13 Year: — Analysis completed

BPM

89

Confidence 98%

Key

D# major

Confidence 57%

Energy

88%

Danceability

47%

Track info

Artist
Slayer
Album
Genre
Label
UPC
Explicit
No
Composer
Copyright

Technical

Format

Format
FLAC
Codec
FLAC
Channels
2 (stereo)

Signal

Sample rate
44100
Bit depth
16
Bit rate
1038222

Quality

HIGH

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

Rhythm

Beat regularity 94%
Beat confidence 70%

Onset density

1.728

Raw BPM

89.103

Loudness

Integrated LUFS

-11.72

RMS

0.2433

Peak

1.0133

Dynamic range

8.17

Crest factor dB

12.39

Instrumental / vocal

Detected type

Vocal

Source

DL override

Instr. probability

52%

Heuristic result

Instrumental

Heuristic instrumental confidence 32%

Deep Learning override applied

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

Best vocal tag: 97.0%

Key stability

Stability 20%

Primary key

D# major

Modulations

12

Tagging

Genres

Heavy Metal 98%
Extreme metal 87%
Alternative rock 59%

Moods

Rebellious 100%
Wildness 97%
Determined 93%
Impulsive 93%
Performing 92%
Powerful 92%
Aggressive 91%
Warrior 91%
Bitter 90%
Energetic 89%
Extroversion 88%
Heroic 88%
Free 87%
Playfulness 87%
Wood (Out) 87%
Ground (On) 85%
Coldness 83%
Dynamism 83%
Organic 73%
Depressed 70%
Roots 69%
Air (Up) 68%
Melodramatic 66%
Metal (Down) 66%
Revitalizing 59%
Lively 50%
Temperament 50%
Happiness 34%
Warm-hearted 21%
Good Vibrations 16%

Languages

English 94%

Situations

Adrenaline (sports & action) 100%
Fight 100%

Rhythmic Moods

Chaotic 78%
Staccato 39%

Voice Families

Low Pitched Vocal 97%

Key probabilities

D# major 21%
G minor 20%
A# major 18%
D# minor 15%
D major 7%
A# minor 6%
D minor 6%
G# minor 4%
A major 3%

Key modulations

13 unique keys
D# major 10x
47%
A# major 8x
59%
D# minor 6x
49%
G minor 6x
39%
A major 5x
37%
D major 4x
45%
A minor 3x
37%
A# minor 2x
42%
F# minor 2x
40%
C minor 1x
73%
E major 1x
43%
B major 1x
43%
G# major 1x
30%

Spectral

Centroid

2796.89

Bandwidth

2482.9

Rolloff

5444.37

Flatness

0.0481

MFCC fingerprint

C1 5.0%

−3.5

C2 100.0%

67.08

C3 20.0%

−13.26

C4 70.0%

46.96

C5 4.0%

2.38

C6 4.0%

2.47

C7 2.0%

−1.18

C8 15.0%

9.87

C9 2.0%

1.67

C10 11.0%

7.23

C11 3.0%

−2.08

C12 3.0%

2.23

C13 13.0%

−8.99

Chorus detection

Primary 139.25 → 203.04

Confidence 1.0

#2 — → 132.79

Confidence 0.802

Structure

Segment 1 — → 132.79
Segment 2 136.28 → 139.25
Segment 3 139.25 → 203.04
Segment 4 203.04 → 252.93

4 segments detected.

Musical timeline

Segment 1 0.0 → 132.79s 132.79s
A# major · 66% Energy 88%
Segment duration 52.49%
Track energy 88%
Segment 2 136.28 → 139.25s 2.97s
A# major · 68% Energy 88%
Segment duration 1.17%
Track energy 88%
Segment 3 139.25 → 203.04s 63.79s
A# major · 56% Energy 88%
Segment duration 25.21%
Track energy 88%
Segment 4 203.04 → 252.93s 49.89s
C minor · 73% Energy 88%
Segment duration 19.72%
Track energy 88%

4 segments mapped in the timeline.