---
size_categories:
- n<1K
dataset_info:
  features:
  - name: age
    dtype: float32
  - name: gender
    dtype:
      class_label:
        names:
          '0': female
          '1': male
  - name: emotion
    dtype:
      class_label:
        names:
          '0': anger
          '1': boredom
          '2': disgust
          '3': fear
          '4': happiness
          '5': neutral
          '6': sadness
  - name: audio
    dtype: audio
  - name: m1_gender_prediction
    dtype:
      class_label:
        names:
          '0': female
          '1': male
  - name: m2_gender_prediction
    dtype:
      class_label:
        names:
          '0': female
          '1': male
  - name: m1_embedding
    sequence: float32
    length: 1028
  - name: m2_embedding
    sequence: float32
    length: 1028
  - name: emotion_embedding
    sequence: float32
    length: 1024
  - name: m1_correct
    dtype:
      class_label:
        names:
          '0': wrong
          '1': correct
  - name: m2_correct
    dtype:
      class_label:
        names:
          '0': wrong
          '1': correct
  splits:
  - name: train
    num_bytes: 54231717.0
    num_examples: 535
  download_size: 56965550
  dataset_size: 54231717.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# 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