Track analysis

Sleeping in My Car

Roxette

"Sleeping in My Car" by Roxette is part of MusiMap's musicologist-curated demo catalogue, featured in the VA - All Time Hits collection. The analysis highlights Primary genre signals include Pop rock, Rock, and Pop. with Performing, Playfulness, and Lively among the leading mood descriptors. and Household chores, Tailgate, and Young days among the strongest situational use cases. instrumental-led production. The track presents a high-energy profile. This page shows how expert-validated semantic tagging turns audio into explainable music intelligence for discovery, profiling and contextual use.

ISRC: SEAMA9301030 Duration: 3:46 Year: 2025 Analysis completed

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BPM

ⓘ

136

Confidence 99%

Key

ⓘ

F# major

Confidence 69%

Energy

ⓘ

86%

Danceability

ⓘ

68%

Track info

ⓘ

Artist: Roxette
Album: All Time Hits
Genre: Pop
Label: Warner Music Group - X5 Music Group
UPC: 5059460388598
Explicit: No
Composer: Dando Zoltán & Per Gessele
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: 1080645

Quality

ⓘ

HIGH

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

Rhythm

ⓘ

Beat regularity 97%

Beat confidence 100%

Onset density

1.968

Raw BPM

135.999

Loudness

ⓘ

Integrated LUFS

-10.57

RMS

0.2927

Peak

1.091

Dynamic range

3.83

Crest factor dB

11.43

Instrumental / vocal

ⓘ

Detected type

Vocal

Source

DL override

Instr. probability

57%

Heuristic result

Instrumental

Heuristic instrumental confidence 31%

Deep Learning override applied

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

Best vocal tag: 98.0%

Key stability

ⓘ

Stability 38%

Primary key

F# major

Modulations

8

Tagging

ⓘ

Genres

Pop rock 82%

Rock 67%

Eastern European Pop 61%

Pop 61%

Hard Rock 35%

Indie rock 26%

Moods

Performing 79%

Playfulness 75%

Lively 74%

Good Vibrations 73%

Warm-hearted 73%

Determined 71%

Free 71%

Impulsive 70%

Powerful 70%

Dynamism 69%

Energetic 69%

Warrior 69%

Extroversion 66%

Ground (On) 66%

Revitalizing 66%

Wood (Out) 65%

Heroic 64%

Air (Up) 59%

Happiness 59%

Friendly 55%

Rebellious 54%

Wildness 45%

Passionate 41%

Happy 39%

Melodramatic 28%

Love 27%

Innocent 19%

Sentimental 19%

Aggressive 16%

Temperament 16%

Water (In / Within) 14%

Sensibility 10%

Bitter 9%

Situations

Bar 100%

Fast car & racing 100%

Household chores 100%

Tailgate 100%

Young days 100%

Road trip 92%

Seize the day 92%

Workout 91%

City life 90%

Party time 90%

Pride 90%

Boat cruise 88%

Commute 88%

Friday night 88%

Running 88%

Uplift / motivate 86%

Pregaming 82%

Family 78%

Rhythmic Moods

Staccato 61%

Lyrical 19%

Chaotic 14%

Voice Families

High Pitched Vocal 98%

Key probabilities

ⓘ

F# major 20%

F# minor 15%

C# major 14%

B major 11%

B minor 9%

C# minor 9%

A# minor 8%

D# minor 4%

G# minor 4%

E major 3%

A major 2%

D major 1%

Key modulations

ⓘ

9 unique keys

F# major 17x

77%

C# major 13x

73%

B major 5x

77%

B minor 4x

73%

E major 2x

79%

D major 1x

77%

F# minor 1x

68%

G minor 1x

65%

C# minor 1x

50%

Spectral

ⓘ

Centroid

2807.62

Bandwidth

2665.41

Rolloff

5844.79

Flatness

0.0412

MFCC fingerprint

ⓘ

C1 43.0%

29.48

C2 100.0%

69.06

C3 4.0%

−2.95

C4 61.0%

41.88

C5 18.0%

12.09

C6 16.0%

10.93

C7 1.0%

−0.36

C8 8.0%

5.53

C9 4.0%

2.46

C10 5.0%

3.73

C11 15.0%

−10.28

C12 4.0%

−2.98

C13 6.0%

−3.97

Chorus detection

ⓘ

Primary 186.41 → 198.83

Confidence 1.0

Structure

ⓘ

Segment 1 0.93 → 3.07

Segment 2 3.74 → 7.36

Segment 3 7.36 → 10.01

Segment 4 10.63 → 12.7

Segment 5 40.33 → 42.66

Segment 6 46.21 → 49.76

Segment 7 49.76 → 51.99

Segment 8 53.31 → 57.21

Segment 9 58.86 → 67.69

Segment 10 85.01 → 87.45

Segment 11 90.44 → 96.29

Segment 12 96.29 → 99.45

Segment 13 99.45 → 101.94

Segment 14 108.3 → 112.11

Segment 15 112.11 → 114.24

Segment 16 123.02 → 125.25

Segment 17 131.61 → 139.2

Segment 18 139.2 → 142.27

Segment 19 142.27 → 145.59

Segment 20 145.59 → 149.14

Segment 21 149.79 → 152.65

Segment 22 152.65 → 158.27

Segment 23 159.78 → 163.33

Segment 24 164.3 → 170.83

Segment 25 170.83 → 174.82

Segment 26 174.82 → 177.08

Segment 27 177.08 → 179.63

Segment 28 181.39 → 186.41

Segment 29 186.41 → 198.83

Segment 30 198.83 → 202.36

Segment 31 202.36 → 211.72

Segment 32 213.28 → 218.8

32 segments detected.

Musical timeline

ⓘ

Segment 1 0.93 → 3.07s 2.14s

B major · 73% Energy 86%

Segment duration 0.95%

Track energy 86%

Segment 2 3.74 → 7.36s 3.62s

B minor · 73% Energy 86%

Segment duration 1.6%

Track energy 86%

Segment 3 7.36 → 10.01s 2.65s

E major · 80% Energy 86%

Segment duration 1.17%

Track energy 86%

Segment 4 10.63 → 12.7s 2.07s

F# major · 70% Energy 86%

Segment duration 0.92%

Track energy 86%

Segment 5 40.33 → 42.66s 2.33s

B minor · 66% Energy 86%

Segment duration 1.03%

Track energy 86%

Segment 6 46.21 → 49.76s 3.55s

B minor · 74% Energy 86%

Segment duration 1.57%

Track energy 86%

Segment 7 49.76 → 51.99s 2.23s

C# minor · 50% Energy 86%

Segment duration 0.99%

Track energy 86%

Segment 8 53.31 → 57.21s 3.9s

B major · 79% Energy 86%

Segment duration 1.73%

Track energy 86%

Segment 9 58.86 → 67.69s 8.83s

D major · 77% Energy 86%

Segment duration 3.91%

Track energy 86%

Segment 10 85.01 → 87.45s 2.44s

C# major · 63% Energy 86%

Segment duration 1.08%

Track energy 86%

Segment 11 90.44 → 96.29s 5.85s

F# major · 88% Energy 86%

Segment duration 2.59%

Track energy 86%

Segment 12 96.29 → 99.45s 3.16s

C# major · 73% Energy 86%

Segment duration 1.4%

Track energy 86%

Segment 13 99.45 → 101.94s 2.49s

B major · 68% Energy 86%

Segment duration 1.1%

Track energy 86%

Segment 14 108.3 → 112.11s 3.81s

B minor · 78% Energy 86%

Segment duration 1.69%

Track energy 86%

Segment 15 112.11 → 114.24s 2.13s

F# minor · 68% Energy 86%

Segment duration 0.94%

Track energy 86%

Segment 16 123.02 → 125.25s 2.23s

B major · 80% Energy 86%

Segment duration 0.99%

Track energy 86%

Segment 17 131.61 → 139.2s 7.59s

G minor · 65% Energy 86%

Segment duration 3.36%

Track energy 86%

Segment 18 139.2 → 142.27s 3.07s

C# major · 68% Energy 86%

Segment duration 1.36%

Track energy 86%

Segment 19 142.27 → 145.59s 3.32s

F# major · 89% Energy 86%

Segment duration 1.47%

Track energy 86%

Segment 20 145.59 → 149.14s 3.55s

C# major · 74% Energy 86%

Segment duration 1.57%

Track energy 86%

Segment 21 149.79 → 152.65s 2.86s

C# major · 82% Energy 86%

Segment duration 1.27%

Track energy 86%

Segment 22 152.65 → 158.27s 5.62s

F# major · 79% Energy 86%

Segment duration 2.49%

Track energy 86%

Segment 23 159.78 → 163.33s 3.55s

C# major · 65% Energy 86%

Segment duration 1.57%

Track energy 86%

Segment 24 164.3 → 170.83s 6.53s

F# major · 70% Energy 86%

Segment duration 2.89%

Track energy 86%

Segment 25 170.83 → 174.82s 3.99s

C# major · 77% Energy 86%

Segment duration 1.77%

Track energy 86%

Segment 26 174.82 → 177.08s 2.26s

F# major · 95% Energy 86%

Segment duration 1.0%

Track energy 86%

Segment 27 177.08 → 179.63s 2.55s

F# major · 65% Energy 86%

Segment duration 1.13%

Track energy 86%

Segment 28 181.39 → 186.41s 5.02s

E major · 77% Energy 86%

Segment duration 2.22%

Track energy 86%

Segment 29 186.41 → 198.83s 12.42s

B major · 84% Energy 86%

Segment duration 5.5%

Track energy 86%

Segment 30 198.83 → 202.36s 3.53s

F# major · 76% Energy 86%

Segment duration 1.56%

Track energy 86%

Segment 31 202.36 → 211.72s 9.36s

F# major · 87% Energy 86%

Segment duration 4.14%

Track energy 86%

Segment 32 213.28 → 218.8s 5.52s

C# major · 63% Energy 86%

Segment duration 2.44%

Track energy 86%

32 segments mapped in the timeline.