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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
|
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] | 1correct
| 1correct
|
|
31 | 1male
| 5neutral
| 1male
| 1male
|
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] | 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
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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
Size of downloaded dataset files:
57 MB
Size of the auto-converted Parquet files:
57 MB
Number of rows:
535