Track analysis

Fixin' to Die Blues

Bukka White

"Fixin' to Die Blues" by Bukka White demonstrates MusiMap's combination of musical interpretation and semantic descriptors. Primary genre signals include Rural blues, Blues, and Folk. with Friendly, Good Vibrations, and Innocent among the leading mood descriptors. and Countryside, Morning, and Summer among the strongest situational use cases. The track presents a moderate energy. with a rhythmically engaging feel. Together, these signals show how curated taxonomies and scaled analysis support professional music intelligence workflows.

ISRC: — Duration: 2:49 Year: 2010 Analysis completed
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BPM

ⓘ

108

Confidence 98%

Key

ⓘ

F# minor

Confidence 38%

Energy

ⓘ

53%

Danceability

ⓘ

48%

Track info

ⓘ
Artist
Bukka White
Album
ABC of the Blues
Genre
Blues
Label
—
UPC
—
Explicit
No
Composer
Bukka White
Copyright
—

Technical

ⓘ

Format

Format
FLAC
Codec
FLAC
Channels
2 (stereo)

Signal

Sample rate
44100
Bit depth
16
Bit rate
348675

Quality

ⓘ

HIGH

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

Rhythm

ⓘ
Beat regularity 96%
Beat confidence 59%

Onset density

4.097

Raw BPM

107.666

Loudness

ⓘ

Integrated LUFS

-18.08

RMS

0.1089

Peak

0.9922

Dynamic range

12.82

Crest factor dB

19.19

Instrumental / vocal

ⓘ

Detected type

Vocal

Source

DL override

Instr. probability

91%

Heuristic result

Instrumental

Heuristic instrumental confidence 65%

Deep Learning override applied

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

Best vocal tag: 100.0%

Key stability

ⓘ
Stability 52%

Primary key

F# major

Modulations

3

Tagging

ⓘ

Genres

Rural blues 99%
Blues 98%
Folk 23%

Moods

Friendly 70%
Good Vibrations 65%
Innocent 56%
Sentimental 54%
Warm-hearted 51%
Wood (Out) 50%
Happiness 47%
Melodramatic 45%
Lively 41%
Sensibility 39%
Air (Up) 38%
Cool 37%
Happy 37%
Performing 35%
Playfulness 33%
Free 32%
Temperament 32%
Impulsive 31%
Revitalizing 31%
Dynamism 30%
Passionate 30%
Extroversion 29%
Nourishment 27%
Determined 26%
Energetic 25%
Metal (Down) 25%
Ground (On) 24%
Soothing 24%
Love 21%
Warrior 19%
Water (In / Within) 19%
Powerful 16%
Glamourous 13%
Sensual 12%
Organic 11%
Heroic 10%
Roots 10%
Refined 9%

Languages

English 100%

Situations

Countryside 100%
Morning 100%
Family 89%
Summer 89%
Boat cruise 88%
Homecoming 88%
Office 88%
Winter holiday season 82%
Sunday morning 80%
Dawn 78%

Rhythmic Moods

Chaotic 26%
Lyrical 20%

Voice Families

Low Pitched Vocal 100%

Key probabilities

ⓘ
F# major 21%
F# minor 20%
C# major 17%
A# minor 14%
D# minor 12%
C# minor 8%
B major 4%
A major 3%
D major 1%

Key modulations

ⓘ
4 unique keys
F# major 17x
65%
F# minor 13x
56%
C# major 2x
63%
D major 1x
61%

Spectral

ⓘ

Centroid

1244.22

Bandwidth

973.07

Rolloff

2484.85

Flatness

—

MFCC fingerprint

ⓘ
C1 100.0%

−207.82

C2 84.0%

175.22

C3 38.0%

−79.58

C4 3.0%

5.44

C5 12.0%

25.31

C6 16.0%

−32.66

C7 5.0%

10.03

C8 4.0%

8.84

C9 15.0%

−31.84

C10 7.0%

−14.63

C11 4.0%

−7.48

C12 10.0%

−20.76

C13 8.0%

−16.58

Chorus detection

ⓘ
Primary — → 168.0

Confidence 1.0

Structure

ⓘ
Segment 1 165.63 → 168.92

1 segment detected.

Musical timeline

ⓘ
Segment 1 165.63 → 168.92s 3.29s
C# major · 75% Energy 53%
Segment duration 1.95%
Track energy 53%

1 segment mapped in the timeline.