Track analysis

Wake Me Up When September Ends

Green Day

MusiMap's structured view of "Wake Me Up When September Ends" by Green Day surfaces Primary genre signals include Pop punk, Alternative rock, and Rock. with Good Vibrations, Friendly, and Sentimental among the leading mood descriptors. and Boat cruise, Bar, and Goodbyes among the strongest situational use cases. vocal-led production. Additional rhythmic or language cues include Staccato, Flowing, and English. The summary reflects validated analysis signals rather than generic metadata, giving teams a readable entry point into the track's semantic profile.

ISRC: USRE10400992 Duration: 4:46 Year: 2025 Analysis completed

BPM

103

Confidence 98%

Key

G major

Confidence 86%

Energy

86%

Danceability

52%

Track info

Artist
Green Day
Album
All Time Hits
Genre
Pop
Label
Warner Music Group - X5 Music Group
UPC
5059460388598
Explicit
No
Composer
Tre Cool, Billie Joe Armstrong & Mike Dirnt
Copyright
2025 Warner Music Group - X5 Music Group 2025 Warner Music Group - X5 Music Group

Technical

Format

Format
FLAC
Codec
FLAC
Channels
2 (stereo)

Signal

Sample rate
44100
Bit depth
16
Bit rate
951142

Quality

HIGH

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

Rhythm

Beat regularity 96%
Beat confidence 58%

Onset density

2.016

Raw BPM

103.359

Loudness

Integrated LUFS

-11.66

RMS

0.2608

Peak

1.175

Dynamic range

10.89

Crest factor dB

13.08

Instrumental / vocal

Detected type

Vocal

Source

Heuristic detector

Instr. probability

41%

Heuristic result

Vocal

Heuristic instrumental confidence 40%

Key stability

Stability 61%

Primary key

G major

Modulations

5

Tagging

Genres

Pop punk 87%
Alternative rock 80%
Rock 51%
Pop rock 26%

Moods

Friendly 64%
Good Vibrations 64%
Sentimental 59%
Warm-hearted 57%
Passionate 56%
Performing 54%
Playfulness 51%
Melodramatic 50%
Wood (Out) 50%
Lively 49%
Powerful 48%
Sensibility 45%
Impulsive 44%
Warrior 43%
Determined 42%
Extroversion 42%
Ground (On) 42%
Love 41%
Revitalizing 40%
Dynamism 39%
Energetic 39%
Free 39%
Air (Up) 37%
Heroic 37%
Happiness 36%
Temperament 34%
Metal (Down) 30%
Sad 29%
Water (In / Within) 27%
Happy 18%
Innocent 18%
Sensual 18%
Rebellious 17%
Bitter 14%
Organic 13%
Roots 12%
Wildness 12%
Glamourous 11%
Coldness 9%
Cool 9%

Languages

English 100%

Situations

Bar 100%
Boat cruise 100%
Commute 100%
Goodbyes 100%
Family 89%
Beers and friends 88%
Homecoming 88%
Road trip 83%
Hope & promises 70%
Psychedelic (altered state of consciousness) 69%

Rhythmic Moods

Staccato 41%
Chaotic 22%
Flowing 22%

Voice Families

Low Pitched Vocal 99%

Key probabilities

G major 24%
D major 18%
G minor 16%
B minor 15%
E minor 11%
C major 8%
F# minor 3%
C minor 3%
D minor 3%

Key modulations

6 unique keys
G major 35x
73%
B minor 13x
67%
D major 6x
80%
E minor 1x
82%
B major 1x
69%
G minor 1x
58%

Spectral

Centroid

2365.86

Bandwidth

2374.85

Rolloff

4944.2

Flatness

0.027

MFCC fingerprint

C1 42.0%

−37.51

C2 100.0%

88.72

C3 2.0%

−1.73

C4 37.0%

33.08

C5 0.0%

−0.33

C6 11.0%

9.93

C7 4.0%

−3.78

C8 7.0%

5.82

C9 0.0%

0.31

C10 5.0%

4.74

C11 8.0%

−7.38

C12 1.0%

1.33

C13 2.0%

−1.54

Chorus detection

Primary 122.46 → 151.6

Confidence 1.0

#2 159.03 → 197.02

Confidence 0.669

#3 229.88 → 262.94

Confidence 0.669

Structure

Segment 1 104.16 → 115.03
Segment 2 122.46 → 151.6
Segment 3 159.03 → 197.02
Segment 4 212.44 → 222.45
Segment 5 229.88 → 262.94
Segment 6 281.61 → 285.65

6 segments detected.

Musical timeline

Segment 1 104.16 → 115.03s 10.87s
G major · 73% Energy 86%
Segment duration 3.8%
Track energy 86%
Segment 2 122.46 → 151.6s 29.14s
G major · 71% Energy 86%
Segment duration 10.19%
Track energy 86%
Segment 3 159.03 → 197.02s 37.99s
B minor · 68% Energy 86%
Segment duration 13.28%
Track energy 86%
Segment 4 212.44 → 222.45s 10.01s
G major · 77% Energy 86%
Segment duration 3.5%
Track energy 86%
Segment 5 229.88 → 262.94s 33.06s
G major · 87% Energy 86%
Segment duration 11.56%
Track energy 86%
Segment 6 281.61 → 285.65s 4.04s
G major · 73% Energy 86%
Segment duration 1.41%
Track energy 86%

6 segments mapped in the timeline.