Name: Turkish Music Emotion
Creator: Kaggle
License: https://creativecommons.org/licenses/by/4.0/

About this Dataset

Turkish Music Emotion

There are four different classes of music emotions in the dataset: happy, sad, angry, and relax.

The dataset is designed as a discrete model, and there are four classes in the dataset: happy, sad, angry, relax. To prepare the dataset, verbal and non-verbal music are selected from different genres of Turkish music. A total of 100 music pieces are determined for each class in the database to have an equal number of samples in each class. There are 400 samples in the original dataset as 30 seconds from each sample.

Number of Data in Each class
Relax 100
Happy 100
Sad 100
Angry 100

Tables

Acoustic Features

@kaggle.joebeachcapital_turkish_music_emotion.acoustic_features

135.92 kB
400 rows
51 columns

CREATE TABLE acoustic_features (
  "class" VARCHAR,
  "n__rmsenergy_mean" DOUBLE  -- RMSenergy Mean,
  "n__lowenergy_mean" DOUBLE  -- Lowenergy Mean,
  "n__fluctuation_mean" DOUBLE  -- Fluctuation Mean,
  "n__tempo_mean" DOUBLE  -- Tempo Mean,
  "n__mfcc_mean_1" DOUBLE  -- MFCC Mean 1,
  "n__mfcc_mean_2" DOUBLE  -- MFCC Mean 2,
  "n__mfcc_mean_3" DOUBLE  -- MFCC Mean 3,
  "n__mfcc_mean_4" DOUBLE  -- MFCC Mean 4,
  "n__mfcc_mean_5" DOUBLE  -- MFCC Mean 5,
  "n__mfcc_mean_6" DOUBLE  -- MFCC Mean 6,
  "n__mfcc_mean_7" DOUBLE  -- MFCC Mean 7,
  "n__mfcc_mean_8" DOUBLE  -- MFCC Mean 8,
  "n__mfcc_mean_9" DOUBLE  -- MFCC Mean 9,
  "n__mfcc_mean_10" DOUBLE  -- MFCC Mean 10,
  "n__mfcc_mean_11" DOUBLE  -- MFCC Mean 11,
  "n__mfcc_mean_12" DOUBLE  -- MFCC Mean 12,
  "n__mfcc_mean_13" DOUBLE  -- MFCC Mean 13,
  "n__roughness_mean" DOUBLE  -- Roughness Mean,
  "n__roughness_slope" DOUBLE  -- Roughness Slope,
  "n__zero_crossingrate_mean" DOUBLE  -- Zero-crossingrate Mean,
  "n__attacktime_mean" DOUBLE  -- AttackTime Mean,
  "n__attacktime_slope" DOUBLE  -- AttackTime Slope,
  "n__rolloff_mean" DOUBLE  -- Rolloff Mean,
  "n__eventdensity_mean" DOUBLE  -- Eventdensity Mean,
  "n__pulseclarity_mean" DOUBLE  -- Pulseclarity Mean,
  "n__brightness_mean" DOUBLE  -- Brightness Mean,
  "n__spectralcentroid_mean" DOUBLE  -- Spectralcentroid Mean,
  "n__spectralspread_mean" DOUBLE  -- Spectralspread Mean,
  "n__spectralskewness_mean" DOUBLE  -- Spectralskewness Mean,
  "n__spectralkurtosis_mean" DOUBLE  -- Spectralkurtosis Mean,
  "n__spectralflatness_mean" DOUBLE  -- Spectralflatness Mean,
  "n__entropyofspectrum_mean" DOUBLE  -- EntropyofSpectrum Mean,
  "n__chromagram_mean_1" DOUBLE  -- Chromagram Mean 1,
  "n__chromagram_mean_2" DOUBLE  -- Chromagram Mean 2,
  "n__chromagram_mean_3" DOUBLE  -- Chromagram Mean 3,
  "n__chromagram_mean_4" DOUBLE  -- Chromagram Mean 4,
  "n__chromagram_mean_5" DOUBLE  -- Chromagram Mean 5,
  "n__chromagram_mean_6" DOUBLE  -- Chromagram Mean 6,
  "n__chromagram_mean_7" DOUBLE  -- Chromagram Mean 7,
  "n__chromagram_mean_8" DOUBLE  -- Chromagram Mean 8,
  "n__chromagram_mean_9" DOUBLE  -- Chromagram Mean 9,
  "n__chromagram_mean_10" DOUBLE  -- Chromagram Mean 10,
  "n__chromagram_mean_11" DOUBLE  -- Chromagram Mean 11,
  "n__chromagram_mean_12" DOUBLE  -- Chromagram Mean 12,
  "n__harmonicchangedetectionfunction_mean" DOUBLE  -- HarmonicChangeDetectionFunction Mean,
  "n__harmonicchangedetectionfunction_std" DOUBLE  -- HarmonicChangeDetectionFunction Std,
  "n__harmonicchangedetectionfunction_slope" DOUBLE  -- HarmonicChangeDetectionFunction Slope,
  "n__harmonicchangedetectionfunction_periodfreq" DOUBLE  -- HarmonicChangeDetectionFunction PeriodFreq,
  "n__harmonicchangedetectionfunction_periodamp" DOUBLE  -- HarmonicChangeDetectionFunction PeriodAmp,
  "n__harmonicchangedetectionfunction_periodentropy" DOUBLE  -- HarmonicChangeDetectionFunction PeriodEntropy
);