Track analysis

Body

Russ Millions, Tion Wayne

A structured view of MusiMap's audio intelligence, musical descriptors, tagging, and metadata analysis for this track.

ISRC: — Duration: 3:04 Year: 2021 Analysis completed

BPM

140

Confidence 84%

Key

B minor

Confidence 56%

Energy

85%

Danceability

61%

Track info

Artist
Russ Millions, Tion Wayne
Album
Now That's What I Call Music! 109
Genre
Pop
Label
UPC
Explicit
No
Composer
Russ Millions; Tion Wayne
Copyright

Technical

Format

Format
FLAC
Codec
FLAC
Channels
2 (stereo)

Signal

Sample rate
44100
Bit depth
16
Bit rate
810691

Quality

HIGH

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

Rhythm

Beat regularity 92%
Beat confidence 71%

Onset density

5.01

Raw BPM

69.837

Loudness

Integrated LUFS

-14.25

RMS

0.2073

Peak

1.0037

Dynamic range

16.59

Crest factor dB

13.7

Instrumental / vocal

Detected type

Vocal

Source

Heuristic detector

Instr. probability

18%

Heuristic result

Vocal

Heuristic instrumental confidence 64%

Key stability

Stability 50%

Primary key

B minor

Modulations

7

Tagging

Genres

Drill 97%
Hip Hop / Rap 89%
Trap 79%

Moods

Rebellious 79%
Determined 76%
Performing 70%
Wildness 69%
Warrior 68%
Ground (On) 66%
Heroic 66%
Organic 66%
Playfulness 66%
Impulsive 65%
Melodramatic 63%
Roots 63%
Extroversion 62%
Wood (Out) 61%
Energetic 57%
Powerful 56%
Bitter 54%
Lively 51%
Dynamism 48%
Temperament 47%
Air (Up) 45%
Coldness 44%
Free 43%
Warm-hearted 43%
Good Vibrations 41%
Revitalizing 38%
Aggressive 37%
Happiness 36%
Metal (Down) 29%
Friendly 27%
Happy 16%
Passionate 15%
Humorous 13%
Love 9%

Languages

English 97%

Situations

City life 100%
Protest 100%
Workout 100%
Commute 88%
Jealousy 75%
Spooky 70%
Pregaming 64%

Rhythmic Moods

Staccato 66%
Chaotic 21%

Voice Families

Low Pitched Vocal 99%

Key probabilities

B minor 24%
F# major 22%
B major 18%
A# minor 16%
D# minor 10%
A# major 4%
F# minor 4%
G# minor 2%

Key modulations

8 unique keys
B minor 18x
47%
A# minor 6x
37%
F# major 5x
65%
F# minor 2x
53%
B major 2x
48%
D major 1x
72%
D# minor 1x
40%
A# major 1x
35%

Spectral

Centroid

2478.02

Bandwidth

2311.22

Rolloff

4846.05

Flatness

0.0288

MFCC fingerprint

C1 100.0%

−89.56

C2 86.0%

76.83

C3 25.0%

−22.76

C4 20.0%

18.36

C5 5.0%

−4.41

C6 1.0%

1.18

C7 1.0%

−0.69

C8 0.0%

−0.3

C9 13.0%

−11.53

C10 3.0%

−3.1

C11 7.0%

−6.44

C12 3.0%

−2.29

C13 3.0%

−2.59

Chorus detection

Primary — → 78.79

Confidence 1.0

#2 148.12 → 163.56

Confidence 1.0

Structure

Segment 1 — → 30.84
Segment 2 30.84 → 44.05
Segment 3 44.05 → 61.77
Segment 4 61.77 → 78.79
Segment 5 78.79 → 87.61
Segment 6 87.61 → 148.12
Segment 7 148.12 → 163.56
Segment 8 163.56 → 166.12
Segment 9 166.86 → 170.36
Segment 10 170.36 → 172.92
Segment 11 173.66 → 175.8
Segment 12 175.8 → 183.83

12 segments detected.

Musical timeline

Segment 1 0.0 → 30.84s 30.84s
F# major · 84% Energy 85%
Segment duration 16.76%
Track energy 85%
Segment 2 30.84 → 44.05s 13.21s
F# minor · 63% Energy 85%
Segment duration 7.18%
Track energy 85%
Segment 3 44.05 → 61.77s 17.72s
F# major · 74% Energy 85%
Segment duration 9.63%
Track energy 85%
Segment 4 61.77 → 78.79s 17.02s
F# minor · 43% Energy 85%
Segment duration 9.25%
Track energy 85%
Segment 5 78.79 → 87.61s 8.82s
B minor · 56% Energy 85%
Segment duration 4.79%
Track energy 85%
Segment 6 87.61 → 148.12s 60.51s
B minor · 80% Energy 85%
Segment duration 32.89%
Track energy 85%
Segment 7 148.12 → 163.56s 15.44s
B minor · 39% Energy 85%
Segment duration 8.39%
Track energy 85%
Segment 8 163.56 → 166.12s 2.56s
A# minor · 37% Energy 85%
Segment duration 1.39%
Track energy 85%
Segment 9 166.86 → 170.36s 3.5s
B minor · 35% Energy 85%
Segment duration 1.9%
Track energy 85%
Segment 10 170.36 → 172.92s 2.56s
B minor · 34% Energy 85%
Segment duration 1.39%
Track energy 85%
Segment 11 173.66 → 175.8s 2.14s
A# minor · 32% Energy 85%
Segment duration 1.16%
Track energy 85%
Segment 12 175.8 → 183.83s 8.03s
A# minor · 34% Energy 85%
Segment duration 4.36%
Track energy 85%

12 segments mapped in the timeline.