Track analysis

Made In China (feat. Famous Dex)

Higher Brothers

"Made In China (feat. Famous Dex)" by Higher Brothers demonstrates MusiMap's combination of musical interpretation and semantic descriptors. Primary genre signals include Trap, Chinese Hip Hop (中国嘻哈), and Hip Hop / Rap. with Rebellious, Determined, and Melodramatic among the leading mood descriptors. and City life, Protest, and Fight among the strongest situational use cases. The track presents a high-energy profile. with a dance-oriented context. Together, these signals show how curated taxonomies and scaled analysis support professional music intelligence workflows.

ISRC: — Duration: 4:36 Year: 2017 Analysis completed

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BPM

ⓘ

144

Confidence 98%

Key

ⓘ

C minor

Confidence 79%

Energy

ⓘ

83%

Danceability

ⓘ

69%

Track info

ⓘ

Artist: Higher Brothers
Album: Black Cab
Genre: Hip Hop
Label: —
UPC: —
Explicit: No
Composer: Richie Souf
Copyright: —

Technical

ⓘ

Format

Format: FLAC
Codec: FLAC
Channels: 2 (stereo)

Signal

Sample rate: 44100
Bit depth: 16
Bit rate: 943909

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

5.352

Raw BPM

143.555

Loudness

ⓘ

Integrated LUFS

-11.71

RMS

0.4314

Peak

1.0794

Dynamic range

5.72

Crest factor dB

7.97

Instrumental / vocal

ⓘ

Detected type

Vocal

Source

DL override

Instr. probability

54%

Heuristic result

Instrumental

Heuristic instrumental confidence 22%

Deep Learning override applied

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

Best vocal tag: 91.0%

Key stability

ⓘ

Stability 56%

Primary key

C minor

Modulations

8

Tagging

ⓘ

Genres

Trap 98%

Chinese Hip Hop (中国嘻哈) 92%

Hip Hop / Rap 92%

IDM / Electronica 33%

Drill 16%

Moods

Rebellious 78%

Determined 77%

Melodramatic 70%

Warrior 69%

Wildness 68%

Heroic 66%

Bitter 65%

Performing 65%

Ground (On) 64%

Impulsive 63%

Organic 63%

Playfulness 62%

Extroversion 60%

Roots 60%

Wood (Out) 60%

Powerful 57%

Coldness 55%

Temperament 54%

Energetic 53%

Air (Up) 45%

Dynamism 44%

Lively 43%

Warm-hearted 42%

Good Vibrations 41%

Metal (Down) 40%

Free 39%

Aggressive 36%

Revitalizing 35%

Friendly 30%

Happiness 29%

Passionate 24%

Depressed 21%

Love 16%

Happy 13%

Sensual 11%

Sensibility 9%

Languages

Chinese 98%

Situations

City life 100%

Protest 100%

Fight 92%

Commute 88%

Jealousy 88%

Pregaming 64%

Spooky 60%

Rhythmic Moods

Staccato 39%

Chaotic 22%

Flowing 10%

Voice Families

High Pitched Vocal 91%

Low Pitched Vocal 69%

Key probabilities

ⓘ

C minor 29%

G# major 17%

G major 17%

B minor 12%

D# major 8%

G# minor 7%

C# minor 4%

C major 4%

G minor 2%

Key modulations

ⓘ

9 unique keys

C minor 31x

41%

G major 10x

53%

A# minor 4x

29%

G# major 3x

54%

D# major 2x

53%

F minor 2x

45%

D# minor 1x

44%

B minor 1x

36%

C# major 1x

34%

Spectral

ⓘ

Centroid

2225.51

Bandwidth

2501.75

Rolloff

4871.64

Flatness

0.0083

MFCC fingerprint

ⓘ

C1 57.0%

−46.8

C2 100.0%

82.39

C3 5.0%

−4.03

C4 21.0%

17.02

C5 4.0%

3.44

C6 13.0%

10.88

C7 2.0%

1.72

C8 15.0%

12.2

C9 5.0%

3.84

C10 20.0%

16.11

C11 9.0%

7.24

C12 15.0%

12.45

C13 10.0%

7.9

Chorus detection

ⓘ

Primary 0.21 → 15.14

Confidence 1.0

Structure

ⓘ

Segment 1 0.21 → 15.14

Segment 2 66.55 → 69.96

Segment 3 78.99 → 83.68

Segment 4 92.69 → 98.03

Segment 5 115.05 → 117.33

Segment 6 121.18 → 124.9

Segment 7 135.56 → 138.53

Segment 8 142.41 → 151.9

Segment 9 176.33 → 180.81

Segment 10 189.75 → 193.0

Segment 11 203.45 → 206.68

Segment 12 216.18 → 220.82

Segment 13 232.06 → 234.1

Segment 14 244.06 → 248.76

Segment 15 258.97 → 261.62

Segment 16 265.82 → 269.26

16 segments detected.

Musical timeline

ⓘ

Segment 1 0.21 → 15.14s 14.93s

F minor · 62% Energy 83%

Segment duration 5.41%

Track energy 83%

Segment 2 66.55 → 69.96s 3.41s

G# major · 58% Energy 83%

Segment duration 1.24%

Track energy 83%

Segment 3 78.99 → 83.68s 4.69s

G# major · 51% Energy 83%

Segment duration 1.7%

Track energy 83%

Segment 4 92.69 → 98.03s 5.34s

G major · 51% Energy 83%

Segment duration 1.93%

Track energy 83%

Segment 5 115.05 → 117.33s 2.28s

C minor · 48% Energy 83%

Segment duration 0.83%

Track energy 83%

Segment 6 121.18 → 124.9s 3.72s

G major · 45% Energy 83%

Segment duration 1.35%

Track energy 83%

Segment 7 135.56 → 138.53s 2.97s

C minor · 39% Energy 83%

Segment duration 1.08%

Track energy 83%

Segment 8 142.41 → 151.9s 9.49s

C minor · 41% Energy 83%

Segment duration 3.44%

Track energy 83%

Segment 9 176.33 → 180.81s 4.48s

C minor · 40% Energy 83%

Segment duration 1.62%

Track energy 83%

Segment 10 189.75 → 193.0s 3.25s

G major · 56% Energy 83%

Segment duration 1.18%

Track energy 83%

Segment 11 203.45 → 206.68s 3.23s

G major · 45% Energy 83%

Segment duration 1.17%

Track energy 83%

Segment 12 216.18 → 220.82s 4.64s

C minor · 42% Energy 83%

Segment duration 1.68%

Track energy 83%

Segment 13 232.06 → 234.1s 2.04s

C minor · 45% Energy 83%

Segment duration 0.74%

Track energy 83%

Segment 14 244.06 → 248.76s 4.7s

A# minor · 25% Energy 83%

Segment duration 1.7%

Track energy 83%

Segment 15 258.97 → 261.62s 2.65s

C minor · 42% Energy 83%

Segment duration 0.96%

Track energy 83%

Segment 16 265.82 → 269.26s 3.44s

G# major · 52% Energy 83%

Segment duration 1.25%

Track energy 83%

16 segments mapped in the timeline.