Track analysis

Laura non c'è

NEK

"Laura non c'è" by NEK is part of MusiMap's musicologist-curated demo catalogue, featured in the VA - All Time Hits collection. The analysis highlights Primary genre signals include Latin pop, Pop rock, and Pop. with Friendly, Good Vibrations, and Sentimental among the leading mood descriptors. and Countryside, Morning, and Beers and friends 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: ITJ039700011 Duration: 3:45 Year: 2025 Analysis completed
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BPM

ⓘ

123

Confidence 98%

Key

ⓘ

E minor

Confidence 39%

Energy

ⓘ

86%

Danceability

ⓘ

76%

Track info

ⓘ
Artist
NEK
Album
All Time Hits
Genre
Pop
Label
Warner Music Group - X5 Music Group
UPC
5059460388598
Explicit
No
Composer
Antonello De Sanctis, Massimo Varini & NEK
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
1018653

Quality

ⓘ

HIGH

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

Rhythm

ⓘ
Beat regularity 97%
Beat confidence 88%

Onset density

3.258

Raw BPM

123.047

Loudness

ⓘ

Integrated LUFS

-11.56

RMS

0.2608

Peak

1.0779

Dynamic range

7.34

Crest factor dB

12.33

Instrumental / vocal

ⓘ

Detected type

Vocal

Source

DL override

Instr. probability

59%

Heuristic result

Instrumental

Heuristic instrumental confidence 33%

Deep Learning override applied

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

Best vocal tag: 100.0%

Key stability

ⓘ
Stability 31%

Primary key

A minor

Modulations

7

Tagging

ⓘ

Genres

Latin pop 88%
Pop rock 45%
Pop 42%
Rock 22%
Latin folk 21%

Moods

Friendly 88%
Good Vibrations 81%
Sentimental 72%
Wood (Out) 65%
Warm-hearted 62%
Cool 60%
Happy 60%
Innocent 59%
Happiness 58%
Lively 56%
Sensibility 56%
Passionate 55%
Love 47%
Air (Up) 46%
Nourishment 46%
Sensual 43%
Free 42%
Revitalizing 42%
Water (In / Within) 41%
Dynamism 40%
Metal (Down) 40%
Performing 37%
Energetic 36%
Glamourous 36%
Soothing 36%
Playfulness 35%
Impulsive 32%
Determined 30%
Extroversion 30%
Powerful 30%
Ground (On) 26%
Warrior 26%
Melodramatic 25%
Temperament 17%
Heroic 14%
Refined 13%

Languages

Italian 99%

Situations

Beers and friends 100%
Countryside 100%
Family 100%
Homecoming 100%
Morning 100%
Falling in love 93%
Beach 91%
Pregaming 91%
Spring 90%
Sunday morning 90%
Summer 89%
Winter holiday season 82%
Cocktails 80%
Dawn 78%

Rhythmic Moods

Staccato 55%
Lyrical 16%

Voice Families

Low Pitched Vocal 100%

Key probabilities

ⓘ
E major 19%
E minor 17%
A minor 15%
A major 10%
G# minor 9%
C major 8%
B major 7%
C# minor 6%
G major 6%
B minor 2%
D major 1%

Key modulations

ⓘ
8 unique keys
A minor 14x
66%
E major 10x
65%
E minor 8x
63%
C major 5x
69%
B major 3x
66%
C# minor 2x
87%
G# minor 2x
77%
C# major 1x
61%

Spectral

ⓘ

Centroid

2655.09

Bandwidth

2656.64

Rolloff

5709.5

Flatness

0.0289

MFCC fingerprint

ⓘ
C1 23.0%

−17.56

C2 100.0%

76.82

C3 4.0%

2.96

C4 37.0%

28.32

C5 12.0%

9.14

C6 14.0%

10.73

C7 4.0%

2.92

C8 6.0%

4.24

C9 5.0%

−4.05

C10 9.0%

6.93

C11 11.0%

−8.51

C12 1.0%

0.82

C13 6.0%

−4.32

Chorus detection

ⓘ
Primary 116.12 → 123.53

Confidence 1.0

#2 65.53 → 74.7

Confidence 0.998

#3 76.93 → 84.57

Confidence 0.998

Structure

ⓘ
Segment 1 — → 3.0
Segment 2 65.53 → 74.7
Segment 3 76.93 → 84.57
Segment 4 84.57 → 86.66
Segment 5 113.29 → 116.12
Segment 6 116.12 → 123.53
Segment 7 123.53 → 125.67
Segment 8 128.48 → 131.7
Segment 9 139.3 → 142.13
Segment 10 143.71 → 146.47
Segment 11 147.21 → 149.26
Segment 12 177.86 → 182.32
Segment 13 184.06 → 187.45
Segment 14 187.45 → 191.03
Segment 15 200.39 → 202.69
Segment 16 204.59 → 207.56
Segment 17 211.23 → 214.6
Segment 18 216.02 → 218.38
Segment 19 219.8 → 224.12

19 segments detected.

Musical timeline

ⓘ
Segment 1 0.0 → 3.0s 3.0s
A minor · 63% Energy 86%
Segment duration 1.33%
Track energy 86%
Segment 2 65.53 → 74.7s 9.17s
E minor · 30% Energy 86%
Segment duration 4.08%
Track energy 86%
Segment 3 76.93 → 84.57s 7.64s
A minor · 68% Energy 86%
Segment duration 3.4%
Track energy 86%
Segment 4 84.57 → 86.66s 2.09s
E minor · 73% Energy 86%
Segment duration 0.93%
Track energy 86%
Segment 5 113.29 → 116.12s 2.83s
A minor · 52% Energy 86%
Segment duration 1.26%
Track energy 86%
Segment 6 116.12 → 123.53s 7.41s
E minor · 78% Energy 86%
Segment duration 3.29%
Track energy 86%
Segment 7 123.53 → 125.67s 2.14s
E minor · 56% Energy 86%
Segment duration 0.95%
Track energy 86%
Segment 8 128.48 → 131.7s 3.22s
A minor · 48% Energy 86%
Segment duration 1.43%
Track energy 86%
Segment 9 139.3 → 142.13s 2.83s
E major · 50% Energy 86%
Segment duration 1.26%
Track energy 86%
Segment 10 143.71 → 146.47s 2.76s
A minor · 72% Energy 86%
Segment duration 1.23%
Track energy 86%
Segment 11 147.21 → 149.26s 2.05s
E minor · 72% Energy 86%
Segment duration 0.91%
Track energy 86%
Segment 12 177.86 → 182.32s 4.46s
E major · 60% Energy 86%
Segment duration 1.98%
Track energy 86%
Segment 13 184.06 → 187.45s 3.39s
C major · 55% Energy 86%
Segment duration 1.51%
Track energy 86%
Segment 14 187.45 → 191.03s 3.58s
A minor · 62% Energy 86%
Segment duration 1.59%
Track energy 86%
Segment 15 200.39 → 202.69s 2.3s
A minor · 77% Energy 86%
Segment duration 1.02%
Track energy 86%
Segment 16 204.59 → 207.56s 2.97s
A minor · 80% Energy 86%
Segment duration 1.32%
Track energy 86%
Segment 17 211.23 → 214.6s 3.37s
E minor · 75% Energy 86%
Segment duration 1.5%
Track energy 86%
Segment 18 216.02 → 218.38s 2.36s
A minor · 73% Energy 86%
Segment duration 1.05%
Track energy 86%
Segment 19 219.8 → 224.12s 4.32s
E minor · 51% Energy 86%
Segment duration 1.92%
Track energy 86%

19 segments mapped in the timeline.