Track analysis

Gooey

Glass Animals

Featured in MusiTag Demo Dataset, "Gooey" by Glass Animals illustrates the breadth of MusiMap's semantic coverage. Primary genre signals include Pop, Pop rock, and Electro pop / Synthpop. with Sentimental, Friendly, and Passionate among the leading mood descriptors. and Homecoming, Candle Light Dinner, and Heartbreak / sorrow 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: GBUM71400655 Duration: 4:49 Year: 2014 Analysis completed

BPM

ⓘ

92

Confidence 99%

Key

ⓘ

B minor

Confidence 81%

Energy

ⓘ

79%

Danceability

ⓘ

41%

Track info

ⓘ
Artist
Glass Animals
Album
Gooey
Genre
—
Label
—
UPC
—
Explicit
No
Composer
Dave Bayley
Copyright
℗ 2013 Wolf Tone Limited

Technical

ⓘ

Format

Format
FLAC
Codec
FLAC
Channels
2 (stereo)

Signal

Sample rate
44100
Bit depth
16
Bit rate
939640

Quality

ⓘ

HIGH

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

Rhythm

ⓘ
Beat regularity 98%
Beat confidence 58%

Onset density

2.544

Raw BPM

92.285

Loudness

ⓘ

Integrated LUFS

-15.4

RMS

0.2065

Peak

0.9952

Dynamic range

13.43

Crest factor dB

13.66

Instrumental / vocal

ⓘ

Detected type

Vocal

Source

DL override

Instr. probability

56%

Heuristic result

Instrumental

Heuristic instrumental confidence 29%

Deep Learning override applied

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

Best vocal tag: 90.0%

Key stability

ⓘ
Stability 47%

Primary key

B minor

Modulations

10

Tagging

ⓘ

Genres

Pop 75%
Pop rock 47%
Electro pop / Synthpop 44%
Indie rock 41%
Contemporary R&B 24%
Rock 24%
Dance pop 23%

Moods

Sentimental 69%
Friendly 66%
Passionate 63%
Melodramatic 62%
Good Vibrations 61%
Sad 59%
Sensibility 59%
Love 58%
Sensual 57%
Glamourous 51%
Warm-hearted 50%
Wood (Out) 48%
Temperament 46%
Metal (Down) 44%
Water (In / Within) 43%
Performing 40%
Impulsive 39%
Playfulness 38%
Air (Up) 37%
Extroversion 37%
Lively 37%
Free 34%
Powerful 34%
Cool 33%
Determined 32%
Dynamism 32%
Energetic 32%
Ground (On) 32%
Revitalizing 31%
Refined 30%
Soothing 30%
Warrior 30%
Bitter 29%
Happiness 29%
Nourishment 29%
Organic 28%
Roots 27%
Atmospheric 24%
Innocent 24%
Coldness 23%
Heroic 21%
Happy 19%
Depressed 13%

Languages

English 99%

Situations

Appeal 100%
Beers and friends 100%
Candle Light Dinner 100%
Chill 100%
Commute 100%
Goodbyes 100%
Heartbreak / sorrow 100%
Homecoming 100%
Sunday morning 90%
Psychedelic (altered state of consciousness) 85%
Cocktails 80%

Rhythmic Moods

Staccato 44%
Flowing 38%

Voice Families

Low Pitched Vocal 90%

Key probabilities

ⓘ
B minor 24%
D major 17%
F# minor 16%
B major 10%
F# major 10%
G major 10%
A major 8%
D minor 3%
E major 1%
E minor 1%

Key modulations

ⓘ
11 unique keys
B minor 27x
64%
F# minor 12x
62%
D major 6x
53%
E minor 3x
38%
G minor 3x
32%
C minor 2x
54%
G major 1x
78%
F# major 1x
46%
D minor 1x
33%
A minor 1x
30%
F major 1x
29%

Spectral

ⓘ

Centroid

1955.39

Bandwidth

2561.84

Rolloff

4599.81

Flatness

0.009

MFCC fingerprint

ⓘ
C1 100.0%

−142.96

C2 70.0%

99.86

C3 17.0%

24.8

C4 13.0%

19.03

C5 15.0%

21.36

C6 2.0%

3.51

C7 2.0%

3.26

C8 5.0%

7.86

C9 8.0%

−11.77

C10 0.0%

0.25

C11 3.0%

−4.45

C12 0.0%

−0.36

C13 0.0%

0.18

Chorus detection

ⓘ
Primary 264.66 → 289.31

Confidence 1.0

#2 63.2 → 99.45

Confidence 0.676

#3 — → 37.48

Confidence 0.663

Structure

ⓘ
Segment 1 — → 37.48
Segment 2 37.48 → 42.24
Segment 3 42.72 → 47.48
Segment 4 49.48 → 52.71
Segment 5 54.68 → 63.2
Segment 6 63.2 → 99.45
Segment 7 101.94 → 106.0
Segment 8 107.14 → 110.92
Segment 9 112.41 → 116.15
Segment 10 116.15 → 173.87
Segment 11 174.85 → 179.19
Segment 12 179.19 → 185.32
Segment 13 186.99 → 191.73
Segment 14 200.09 → 256.79
Segment 15 256.79 → 259.41
Segment 16 259.41 → 262.04
Segment 17 262.04 → 264.66
Segment 18 264.66 → 289.31

18 segments detected.

Musical timeline

ⓘ
Segment 1 0.0 → 37.48s 37.48s
G minor · 50% Energy 79%
Segment duration 12.97%
Track energy 79%
Segment 2 37.48 → 42.24s 4.76s
F# minor · 75% Energy 79%
Segment duration 1.65%
Track energy 79%
Segment 3 42.72 → 47.48s 4.76s
B minor · 82% Energy 79%
Segment duration 1.65%
Track energy 79%
Segment 4 49.48 → 52.71s 3.23s
D major · 70% Energy 79%
Segment duration 1.12%
Track energy 79%
Segment 5 54.68 → 63.2s 8.52s
B minor · 91% Energy 79%
Segment duration 2.95%
Track energy 79%
Segment 6 63.2 → 99.45s 36.25s
F# minor · 74% Energy 79%
Segment duration 12.54%
Track energy 79%
Segment 7 101.94 → 106.0s 4.06s
B minor · 85% Energy 79%
Segment duration 1.4%
Track energy 79%
Segment 8 107.14 → 110.92s 3.78s
B minor · 54% Energy 79%
Segment duration 1.31%
Track energy 79%
Segment 9 112.41 → 116.15s 3.74s
B minor · 34% Energy 79%
Segment duration 1.29%
Track energy 79%
Segment 10 116.15 → 173.87s 57.72s
D major · 53% Energy 79%
Segment duration 19.97%
Track energy 79%
Segment 11 174.85 → 179.19s 4.34s
F# minor · 43% Energy 79%
Segment duration 1.5%
Track energy 79%
Segment 12 179.19 → 185.32s 6.13s
G major · 78% Energy 79%
Segment duration 2.12%
Track energy 79%
Segment 13 186.99 → 191.73s 4.74s
E minor · 50% Energy 79%
Segment duration 1.64%
Track energy 79%
Segment 14 200.09 → 256.79s 56.7s
C minor · 46% Energy 79%
Segment duration 19.62%
Track energy 79%
Segment 15 256.79 → 259.41s 2.62s
D major · 55% Energy 79%
Segment duration 0.91%
Track energy 79%
Segment 16 259.41 → 262.04s 2.63s
B minor · 75% Energy 79%
Segment duration 0.91%
Track energy 79%
Segment 17 262.04 → 264.66s 2.62s
G minor · 23% Energy 79%
Segment duration 0.91%
Track energy 79%
Segment 18 264.66 → 289.31s 24.65s
B minor · 75% Energy 79%
Segment duration 8.53%
Track energy 79%

18 segments mapped in the timeline.