Track analysis

Sunglasses at Night

Heidi Klum

Featured in VA - All Time Hits, "Sunglasses at Night" by Heidi Klum illustrates the breadth of MusiMap's semantic coverage. Primary genre signals include Dance pop, House, and Electronic Dance (EDM). with Free, Determined, and Energetic among the leading mood descriptors. and Fast car & racing, Workout, and Running 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: DEA622304108 Duration: 2:51 Year: 2025 Analysis completed
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BPM

ⓘ

129

Confidence 99%

Key

ⓘ

A# minor

Confidence 90%

Energy

ⓘ

90%

Danceability

ⓘ

80%

Track info

ⓘ
Artist
Heidi Klum
Album
All Time Hits
Genre
Pop
Label
Warner Music Group - X5 Music Group
UPC
5059460388598
Explicit
No
Composer
Corey Hart
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
1033138

Quality

ⓘ

HIGH

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

Rhythm

ⓘ
Beat regularity 97%
Beat confidence 90%

Onset density

3.581

Raw BPM

129.199

Loudness

ⓘ

Integrated LUFS

-10.35

RMS

0.3187

Peak

1.1962

Dynamic range

10.53

Crest factor dB

11.49

Instrumental / vocal

ⓘ

Detected type

Vocal

Source

DL override

Instr. probability

66%

Heuristic result

Instrumental

Heuristic instrumental confidence 37%

Deep Learning override applied

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

Best vocal tag: 99.0%

Key stability

ⓘ
Stability 74%

Primary key

A# minor

Modulations

4

Tagging

ⓘ

Genres

Dance pop 79%
Electronic Dance (EDM) 76%
House 76%
Pop 28%
Electro pop / Synthpop 20%
Contemporary R&B 12%

Moods

Free 74%
Determined 73%
Energetic 71%
Lively 71%
Performing 71%
Dynamism 69%
Impulsive 67%
Playfulness 67%
Powerful 65%
Warrior 65%
Extroversion 64%
Ground (On) 62%
Air (Up) 59%
Revitalizing 59%
Wood (Out) 56%
Happiness 55%
Warm-hearted 54%
Good Vibrations 53%
Rebellious 52%
Melodramatic 47%
Organic 47%
Roots 45%
Heroic 44%
Wildness 43%
Friendly 42%
Bitter 36%
Temperament 34%
Coldness 28%
Happy 27%
Passionate 24%
Aggressive 21%
Love 17%
Innocent 16%
Metal (Down) 16%
Sensual 13%
Depressed 9%
Water (In / Within) 9%

Languages

English 100%

Situations

City life 100%
Fast car & racing 100%
Friday night 100%
Running 100%
Workout 100%
Young days 92%
Party time 90%
Commute 88%
Pregaming 73%
Hope & promises 60%

Rhythmic Moods

Staccato 81%
Lyrical 9%

Voice Families

High Pitched Vocal 99%

Key probabilities

ⓘ
A# minor 26%
F minor 15%
C# major 15%
F major 14%
A# major 13%
F# major 7%
G# major 6%
D minor 2%
D# major 2%

Key modulations

ⓘ
5 unique keys
A# minor 25x
65%
F minor 5x
52%
C# major 2x
49%
F major 1x
55%
F# minor 1x
33%

Spectral

ⓘ

Centroid

3194.96

Bandwidth

2849.86

Rolloff

6566.84

Flatness

0.0578

MFCC fingerprint

ⓘ
C1 4.0%

−2.1

C2 100.0%

50.52

C3 7.0%

−3.47

C4 38.0%

19.24

C5 5.0%

−2.57

C6 8.0%

4.06

C7 3.0%

−1.5

C8 4.0%

−2.24

C9 1.0%

0.45

C10 3.0%

−1.31

C11 18.0%

−8.85

C12 8.0%

−3.93

C13 11.0%

−5.59

Chorus detection

ⓘ
Primary 134.95 → 170.62

Confidence 1.0

Structure

ⓘ
Segment 1 — → 59.95
Segment 2 59.95 → 134.95
Segment 3 134.95 → 170.62

3 segments detected.

Musical timeline

ⓘ
Segment 1 0.0 → 59.95s 59.95s
F minor · 53% Energy 90%
Segment duration 35.06%
Track energy 90%
Segment 2 59.95 → 134.95s 75.0s
A# minor · 70% Energy 90%
Segment duration 43.86%
Track energy 90%
Segment 3 134.95 → 170.62s 35.67s
F major · 55% Energy 90%
Segment duration 20.86%
Track energy 90%

3 segments mapped in the timeline.