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savee

  • Description:

SAVEE (Surrey Audio-Visual Expressed Emotion) is an emotion recognition dataset. It consists of recordings from 4 male actors in 7 different emotions, 480 British English utterances in total. The sentences were chosen from the standard TIMIT corpus and phonetically-balanced for each emotion. This release contains only the audio stream from the original audio-visual recording. The data is split so that the training set consists of 2 speakers, and both the validation and test set consists of samples from 1 speaker, respectively.

Split Examples
'test' 120
'train' 240
'validation' 120
  • Feature structure:
FeaturesDict({
    'audio': Audio(shape=(None,), dtype=int64),
    'label': ClassLabel(shape=(), dtype=int64, num_classes=7),
    'speaker_id': object,
})
  • Feature documentation:
Feature Class Shape Dtype Description
FeaturesDict
audio Audio (None,) int64
label ClassLabel int64
speaker_id Tensor object
  • Citation:
@inproceedings{Vlasenko_combiningframe,
author = {Vlasenko, Bogdan and Schuller, Bjorn and Wendemuth, Andreas and Rigoll, Gerhard},
year = {2007},
month = {01},
pages = {2249-2252},
title = {Combining frame and turn-level information for robust recognition of emotions within speech},
journal = {Proceedings of Interspeech}
}