Dataset Viewer
Auto-converted to Parquet Duplicate
Search is not available for this dataset
age
float32
21
35
gender
class label
2 classes
emotion
class label
7 classes
audio
audioduration (s)
1.23
8.98
m1_gender_prediction
class label
2 classes
m2_gender_prediction
class label
2 classes
m1_embedding
sequence
m2_embedding
sequence
emotion_embedding
sequence
m1_correct
class label
2 classes
m2_correct
class label
2 classes
31
1male
4happiness
1male
1male
[ 0.44054052233695984, 1.464881181716919, 4.0788798332214355, -4.503115177154541, 0.011248249560594559, 0.028436219319701195, 0.026893403381109238, -0.002385042142122984, 0.0022116589825600386, -0.05714404955506325, -0.1552983522415161, -0.05587396398186684, 0.026798663660883904, -0.00083858...
[ 0.4537053108215332, 0.9441990852355957, 4.836902618408203, -4.323537349700928, 0.024155041202902794, 0.01137563306838274, 0.015681955963373184, -0.030033467337489128, 0.01688200794160366, -0.11947726458311081, -0.3184078335762024, 0.03415780887007713, -0.05104510486125946, -0.0669521391391...
[ -0.007890840992331505, 0.00673620356246829, -0.005898221395909786, -0.006566363852471113, -0.004559417255222797, -0.00814783200621605, 0.16869834065437317, 0.006812351755797863, 0.1131644994020462, -0.0016172752948477864, 0.006480009760707617, -0.004165210761129856, 0.006195432506501675, 0...
1correct
1correct
31
1male
5neutral
1male
1male
[ 0.2622104287147522, -1.3949646949768066, 6.082704544067383, -3.3765506744384766, 0.005875702947378159, 0.016064774245023727, 0.04357792064547539, -0.028927529230713844, -0.019009262323379517, -0.03824015334248543, 0.1834874451160431, -0.03917606920003891, -0.0487673282623291, 0.01165121328...
[ 0.3313554525375366, -0.9241200685501099, 5.6872711181640625, -3.203855276107788, 0.024322617799043655, 0.026111330837011337, -0.0038693188689649105, -0.023257214576005936, 0.004450648091733456, -0.04243467003107071, -0.3648952841758728, 0.059209953993558884, -0.05133466050028801, -0.040544...
[ -0.0076292953453958035, 0.00600100215524435, -0.007628073450177908, -0.006587932351976633, -0.00510370684787631, -0.008471575565636158, 0.19899988174438477, 0.006390501745045185, 0.07122239470481873, -0.001760050654411316, 0.005797930061817169, -0.004027220886200666, 0.006109918002039194, ...
1correct
1correct
31
1male
0anger
1male
1male
[0.41782814264297485,0.19438514113426208,5.651814937591553,-4.512995719909668,0.010881107300519943,0(...TRUNCATED)
[0.4030425548553467,-0.6641362905502319,5.59335994720459,-3.3647994995117188,0.024553658440709114,0.(...TRUNCATED)
[-0.007874424569308758,0.00660011637955904,-0.008575675077736378,-0.007047249004244804,-0.0046463771(...TRUNCATED)
1correct
1correct
31
1male
4happiness
0female
1male
[0.31111985445022583,1.9071812629699707,1.8483043909072876,-3.264289379119873,0.015041343867778778,0(...TRUNCATED)
[0.33096230030059814,1.7651816606521606,3.140580177307129,-3.8808188438415527,0.022969240322709084,0(...TRUNCATED)
[-0.0074066175147891045,0.006325849331915379,-0.010519471950829029,-0.005898592062294483,-0.00421619(...TRUNCATED)
0wrong
1correct
31
1male
5neutral
1male
1male
[0.28721630573272705,-1.3020274639129639,6.188238143920898,-3.5625367164611816,0.012052350677549839,(...TRUNCATED)
[0.3270408809185028,-0.5652862191200256,5.217710018157959,-3.2086355686187744,0.024229655042290688,0(...TRUNCATED)
[-0.007312856148928404,0.006525228265672922,-0.010693098418414593,-0.0048688966780900955,-0.00460489(...TRUNCATED)
1correct
1correct
31
1male
6sadness
1male
1male
[0.24821315705776215,-0.2417377531528473,5.1909565925598145,-3.7921907901763916,0.012971156276762486(...TRUNCATED)
[0.2563989758491516,0.6062331795692444,4.961859703063965,-4.097031593322754,0.022953595966100693,0.0(...TRUNCATED)
[-0.0072388965636491776,0.006308899261057377,-0.009041213430464268,-0.006022279150784016,-0.00429412(...TRUNCATED)
1correct
1correct
31
1male
0anger
1male
1male
[0.41812509298324585,0.9357747435569763,4.867660045623779,-4.660455703735352,0.015910642221570015,0.(...TRUNCATED)
[0.41758009791374207,0.1277695596218109,5.21734619140625,-3.814499855041504,0.024473674595355988,0.0(...TRUNCATED)
[-0.007573672104626894,0.0057202354073524475,-0.011370244435966015,-0.005990801379084587,-0.00452459(...TRUNCATED)
1correct
1correct
31
1male
0anger
1male
1male
[0.3346962332725525,-0.06790624558925629,5.091518402099609,-3.873506546020508,0.009309235028922558,0(...TRUNCATED)
[0.3667761981487274,-0.3556789755821228,4.99762487411499,-3.224454402923584,0.02519497275352478,0.03(...TRUNCATED)
[-0.007460121996700764,0.006064985878765583,-0.011620759032666683,-0.006051091477274895,-0.004719214(...TRUNCATED)
1correct
1correct
31
1male
3fear
1male
1male
[0.4176008999347687,1.3719244003295898,4.746631145477295,-4.957000255584717,0.014292022213339806,0.0(...TRUNCATED)
[0.4514234960079193,1.683248519897461,3.98754620552063,-4.397044658660889,0.023799356073141098,0.021(...TRUNCATED)
[-0.007383392658084631,0.005679713562130928,-0.007876315154135227,-0.005598459392786026,-0.003937435(...TRUNCATED)
1correct
1correct
31
1male
4happiness
1male
1male
[0.43892332911491394,0.25041547417640686,5.658718109130859,-4.583918571472168,0.011553729884326458,0(...TRUNCATED)
[0.5519357919692993,-0.645757257938385,5.968599796295166,-3.6491506099700928,0.02470226213335991,0.0(...TRUNCATED)
[-0.007370928302407265,0.006786904763430357,-0.011242685839533806,-0.004863204900175333,-0.005097225(...TRUNCATED)
1correct
1correct
End of preview. Expand in Data Studio

Dataset Card for Dataset Name

Dataset Description

About Dataset Emo-DB Database

The EMODB database is the freely available German emotional database. The database is created by the Institute of Communication Science, Technical University, Berlin, Germany. Ten professional speakers (five males and five females) participated in data recording. The database contains a total of 535 utterances. The EMODB database comprises of seven emotions: 1) anger; 2) boredom; 3) anxiety; 4) happiness; 5) sadness; 6) disgust; and 7) neutral. The data was recorded at a 48-kHz sampling rate and then down-sampled to 16-kHz. Additional Information

Original URL: https://www.tu.berlin/en/kw/research/projects/emotional-speech

Every utterance is named according to the same scheme:

Positions 1-2: number of speaker
Positions 3-5: code for text
Position 6: emotion (sorry, letter stands for german emotion word)
Position 7: if there are more than two versions these are numbered a, b, c .... 

Example: 03a01Fa.wav is the audio file from Speaker 03 speaking text a01 with the emotion "Freude" (Happiness). Information about the speakers

03 - male, 31 years old
08 - female, 34 years
09 - female, 21 years
10 - male, 32 years
11 - male, 26 years
12 - male, 30 years
13 - female, 32 years
14 - female, 35 years
15 - male, 25 years
16 - female, 31 years 
Downloads last month
5