Track analysis

Vayamos compañeros (Radio Edit)

Marquess

In MusiMap's demo catalogue, "Vayamos compañeros (Radio Edit)" by Marquess maps to and Party time, Spring, and Household chores among the strongest situational use cases. with Lively, Good Vibrations, and Happy among the leading mood descriptors. Primary genre signals include Latin pop, Pop, and Pop rock. instrumental-led production. Additional rhythmic or language cues include Staccato, Lyrical, and Spanish. The editorial view is built only from structured analysis already visible on this page, offering a concise read on how the track can be understood and reused.

ISRC: DEA620700217 Duration: 3:02 Year: 2025 Analysis completed

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BPM

ⓘ

117

Confidence 98%

Key

ⓘ

F# minor

Confidence 44%

Energy

ⓘ

89%

Danceability

ⓘ

75%

Track info

ⓘ

Artist: Marquess
Album: All Time Hits
Genre: Pop
Label: Warner Music Group - X5 Music Group
UPC: 5059460388598
Explicit: No
Composer: Sascha Pierro, Christian Fleps, Dominik Decker & Marco Heggen
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: 1017965

Quality

ⓘ

HIGH

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

Rhythm

ⓘ

Beat regularity 97%

Beat confidence 61%

Onset density

3.76

Raw BPM

117.454

Loudness

ⓘ

Integrated LUFS

-12.22

RMS

0.2425

Peak

1.0805

Dynamic range

10.14

Crest factor dB

12.98

Instrumental / vocal

ⓘ

Detected type

Vocal

Source

DL override

Instr. probability

66%

Heuristic result

Instrumental

Heuristic instrumental confidence 35%

Deep Learning override applied

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

Best vocal tag: 99.0%

Key stability

ⓘ

Stability 56%

Primary key

F# minor

Modulations

4

Tagging

ⓘ

Genres

Latin pop 96%

Pop 53%

Latin Rock (Rock en español) 34%

Pop rock 34%

Rock 12%

Moods

Good Vibrations 83%

Lively 83%

Happy 82%

Friendly 79%

Revitalizing 79%

Fun 78%

Happiness 78%

Warm-hearted 77%

Air (Up) 72%

Dynamism 71%

Wood (Out) 69%

Free 66%

Innocent 64%

Performing 64%

Energetic 62%

Temperament 62%

Playfulness 61%

Impulsive 59%

Determined 58%

Extroversion 56%

Powerful 52%

Warrior 52%

Ground (On) 51%

Passionate 42%

Heroic 39%

Love 31%

Sentimental 28%

Humorous 27%

Glamourous 20%

Melodramatic 20%

Water (In / Within) 18%

Sensual 17%

Sensibility 15%

Languages

Spanish 97%

Situations

Household chores 100%

Party time 100%

Spring 100%

Uplift / motivate 100%

Seize the day 92%

Pregaming 91%

Winter holiday season 91%

Workout 91%

Pride 90%

Wedding Party 90%

Beers and friends 88%

Boat cruise 88%

Friday night 88%

Running 88%

Road trip 83%

Beach 82%

Countryside 82%

Morning 82%

Family 78%

Summer 67%

Rhythmic Moods

Staccato 61%

Lyrical 32%

Voice Families

Low Pitched Vocal 99%

Key probabilities

ⓘ

B minor 20%

F# minor 20%

D major 18%

F# major 12%

B major 9%

G major 9%

A major 7%

E minor 2%

E major 1%

D# minor 1%

D minor 1%

Key modulations

ⓘ

5 unique keys

F# minor 20x

66%

B minor 10x

77%

D major 4x

77%

A major 1x

75%

F# major 1x

63%

Spectral

ⓘ

Centroid

3125.73

Bandwidth

2950.33

Rolloff

6834.45

Flatness

0.0501

MFCC fingerprint

ⓘ

C1 14.0%

−8.98

C2 100.0%

65.89

C3 23.0%

14.95

C4 32.0%

21.22

C5 11.0%

7.16

C6 17.0%

11.08

C7 1.0%

−0.75

C8 14.0%

9.39

C9 7.0%

−4.75

C10 15.0%

9.73

C11 4.0%

−2.78

C12 6.0%

4.24

C13 4.0%

−2.71

Chorus detection

ⓘ

Primary 31.28 → 51.46

Confidence 1.0

#2 117.17 → 135.72

Confidence 0.978

Structure

ⓘ

Segment 1 2.65 → 10.5

Segment 2 11.54 → 13.56

Segment 3 13.56 → 16.49

Segment 4 17.62 → 19.67

Segment 5 19.67 → 21.69

Segment 6 21.69 → 23.73

Segment 7 23.73 → 31.28

Segment 8 31.28 → 51.46

Segment 9 51.46 → 53.48

Segment 10 53.48 → 62.3

Segment 11 62.3 → 65.32

Segment 12 66.41 → 68.5

Segment 13 68.5 → 70.52

Segment 14 71.68 → 117.17

Segment 15 117.17 → 135.72

Segment 16 140.09 → 180.02

16 segments detected.

Musical timeline

ⓘ

Segment 1 2.65 → 10.5s 7.85s

B minor · 66% Energy 89%

Segment duration 4.31%

Track energy 89%

Segment 2 11.54 → 13.56s 2.02s

F# minor · 68% Energy 89%

Segment duration 1.11%

Track energy 89%

Segment 3 13.56 → 16.49s 2.93s

F# minor · 76% Energy 89%

Segment duration 1.61%

Track energy 89%

Segment 4 17.62 → 19.67s 2.05s

F# minor · 35% Energy 89%

Segment duration 1.13%

Track energy 89%

Segment 5 19.67 → 21.69s 2.02s

F# minor · 71% Energy 89%

Segment duration 1.11%

Track energy 89%

Segment 6 21.69 → 23.73s 2.04s

B minor · 87% Energy 89%

Segment duration 1.12%

Track energy 89%

Segment 7 23.73 → 31.28s 7.55s

F# minor · 63% Energy 89%

Segment duration 4.15%

Track energy 89%

Segment 8 31.28 → 51.46s 20.18s

D major · 70% Energy 89%

Segment duration 11.09%

Track energy 89%

Segment 9 51.46 → 53.48s 2.02s

F# minor · 82% Energy 89%

Segment duration 1.11%

Track energy 89%

Segment 10 53.48 → 62.3s 8.82s

D major · 67% Energy 89%

Segment duration 4.85%

Track energy 89%

Segment 11 62.3 → 65.32s 3.02s

B minor · 75% Energy 89%

Segment duration 1.66%

Track energy 89%

Segment 12 66.41 → 68.5s 2.09s

F# minor · 61% Energy 89%

Segment duration 1.15%

Track energy 89%

Segment 13 68.5 → 70.52s 2.02s

F# minor · 55% Energy 89%

Segment duration 1.11%

Track energy 89%

Segment 14 71.68 → 117.17s 45.49s

F# minor · 61% Energy 89%

Segment duration 24.99%

Track energy 89%

Segment 15 117.17 → 135.72s 18.55s

B minor · 76% Energy 89%

Segment duration 10.19%

Track energy 89%

Segment 16 140.09 → 180.02s 39.93s

D major · 83% Energy 89%

Segment duration 21.94%

Track energy 89%

16 segments mapped in the timeline.