Track analysis

梦回唐朝

唐朝

"梦回唐朝" by 唐朝 demonstrates MusiMap's combination of musical interpretation and semantic descriptors. Primary genre signals include Hard Rock, Heavy Metal, and Chinese Rock (中国摇滚). with Rebellious, Free, and Performing among the leading mood descriptors. and City life, Fast car & racing, and Adrenaline (sports & action) among the strongest situational use cases. The track presents a moderate energy. with a dance-oriented context. Together, these signals show how curated taxonomies and scaled analysis support professional music intelligence workflows.

ISRC: — Duration: 7:05 Year: 1992 Analysis completed

BPM

123

Confidence 99%

Key

D minor

Confidence 69%

Energy

71%

Danceability

73%

Track info

Artist
唐朝
Album
梦回唐朝
Genre
Metal
Label
UPC
Explicit
No
Composer
Copyright

Technical

Format

Format
FLAC
Codec
FLAC
Channels
2 (stereo)

Signal

Sample rate
44100
Bit depth
16
Bit rate
883256

Quality

HIGH

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

Rhythm

Beat regularity 97%
Beat confidence 94%

Onset density

2.943

Raw BPM

123.047

Loudness

Integrated LUFS

-15.64

RMS

0.1531

Peak

0.9764

Dynamic range

9.99

Crest factor dB

16.1

Instrumental / vocal

Detected type

Vocal

Source

Heuristic detector

Instr. probability

50%

Heuristic result

Vocal

Heuristic instrumental confidence 29%

Key stability

Stability 14%

Primary key

D minor

Modulations

19

Tagging

Genres

Hard Rock 86%
Heavy Metal 70%
Chinese Rock (中国摇滚) 56%
Rock 56%
Alternative rock 32%
Chinese Alternative (另类摇滚 ) 32%
C-Pop / Mandopop 13%
Dance pop 13%
Electro pop / Synthpop 13%
Pop 13%
Pop rock 13%

Moods

Rebellious 91%
Free 90%
Performing 86%
Determined 82%
Playfulness 82%
Wildness 82%
Dynamism 80%
Impulsive 80%
Warrior 79%
Powerful 78%
Heroic 77%
Extroversion 76%
Energetic 75%
Ground (On) 75%
Wood (Out) 74%
Lively 73%
Air (Up) 67%
Revitalizing 66%
Aggressive 57%
Happiness 57%
Bitter 56%
Warm-hearted 50%
Melodramatic 49%
Good Vibrations 48%
Organic 47%
Coldness 46%
Roots 45%
Friendly 36%
Temperament 34%
Metal (Down) 31%
Happy 22%
Passionate 18%
Depressed 16%
Innocent 16%
Love 9%

Languages

Chinese 100%

Situations

Adrenaline (sports & action) 100%
Bar 100%
City life 100%
Fast car & racing 100%
Protest 100%
Workout 100%
Young days 92%
Friday night 88%
Pregaming 73%

Rhythmic Moods

Staccato 53%
Chaotic 37%

Voice Families

Low Pitched Vocal 97%

Key probabilities

D minor 18%
D major 12%
G major 10%
G minor 10%
C major 10%
F major 9%
A minor 9%
A# major 8%
A major 4%
E minor 4%
C minor 4%
D# major 2%

Key modulations

20 unique keys
D minor 12x
60%
D# major 11x
66%
C major 8x
70%
G major 7x
64%
E minor 6x
74%
D major 6x
69%
F minor 6x
59%
A major 5x
62%
F major 4x
70%
A minor 4x
65%
C minor 3x
53%
A# major 2x
71%
B minor 2x
64%
B major 2x
59%
G# major 2x
54%
G# minor 1x
65%
A# minor 1x
61%
D# minor 1x
59%
C# major 1x
55%
G minor 1x
49%

Spectral

Centroid

2510.69

Bandwidth

2350.22

Rolloff

5053.29

Flatness

0.0268

MFCC fingerprint

C1 89.0%

−74.24

C2 100.0%

83.8

C3 7.0%

−6.02

C4 65.0%

54.56

C5 1.0%

1.16

C6 2.0%

1.32

C7 2.0%

1.76

C8 6.0%

5.07

C9 9.0%

−7.79

C10 6.0%

4.94

C11 4.0%

−3.49

C12 3.0%

2.71

C13 5.0%

−3.86

Chorus detection

Primary 32.46 → 48.85

Confidence 1.0

#2 130.84 → 169.69

Confidence 0.668

Structure

Segment 1 4.81 → 8.82
Segment 2 18.55 → 21.5
Segment 3 32.46 → 48.85
Segment 4 48.85 → 94.76
Segment 5 94.76 → 103.42
Segment 6 114.52 → 116.61
Segment 7 130.84 → 169.69
Segment 8 169.69 → 173.04
Segment 9 173.04 → 176.05
Segment 10 176.05 → 183.58
Segment 11 185.09 → 256.39
Segment 12 256.39 → 261.57
Segment 13 264.66 → 268.14
Segment 14 268.14 → 270.26
Segment 15 271.14 → 333.74
Segment 16 333.74 → 339.92
Segment 17 339.92 → 424.97

17 segments detected.

Musical timeline

Segment 1 4.81 → 8.82s 4.01s
D minor · 64% Energy 71%
Segment duration 0.94%
Track energy 71%
Segment 2 18.55 → 21.5s 2.95s
D minor · 47% Energy 71%
Segment duration 0.69%
Track energy 71%
Segment 3 32.46 → 48.85s 16.39s
A major · 59% Energy 71%
Segment duration 3.86%
Track energy 71%
Segment 4 48.85 → 94.76s 45.91s
D minor · 51% Energy 71%
Segment duration 10.8%
Track energy 71%
Segment 5 94.76 → 103.42s 8.66s
A major · 55% Energy 71%
Segment duration 2.04%
Track energy 71%
Segment 6 114.52 → 116.61s 2.09s
A major · 66% Energy 71%
Segment duration 0.49%
Track energy 71%
Segment 7 130.84 → 169.69s 38.85s
G major · 55% Energy 71%
Segment duration 9.14%
Track energy 71%
Segment 8 169.69 → 173.04s 3.35s
A minor · 60% Energy 71%
Segment duration 0.79%
Track energy 71%
Segment 9 173.04 → 176.05s 3.01s
G major · 60% Energy 71%
Segment duration 0.71%
Track energy 71%
Segment 10 176.05 → 183.58s 7.53s
A major · 61% Energy 71%
Segment duration 1.77%
Track energy 71%
Segment 11 185.09 → 256.39s 71.3s
D minor · 65% Energy 71%
Segment duration 16.78%
Track energy 71%
Segment 12 256.39 → 261.57s 5.18s
A minor · 71% Energy 71%
Segment duration 1.22%
Track energy 71%
Segment 13 264.66 → 268.14s 3.48s
D minor · 84% Energy 71%
Segment duration 0.82%
Track energy 71%
Segment 14 268.14 → 270.26s 2.12s
G minor · 49% Energy 71%
Segment duration 0.5%
Track energy 71%
Segment 15 271.14 → 333.74s 62.6s
A minor · 78% Energy 71%
Segment duration 14.73%
Track energy 71%
Segment 16 333.74 → 339.92s 6.18s
D minor · 63% Energy 71%
Segment duration 1.45%
Track energy 71%
Segment 17 339.92 → 424.97s 85.05s
D minor · 58% Energy 71%
Segment duration 20.01%
Track energy 71%

17 segments mapped in the timeline.