The Emotional Voices Database: Towards Controlling the Emotional Expressiveness in Voice Generation Systems

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Landpage: <a href="https://github.com/numediart/EmoV-DB">https://github.com/numediart/EmoV-DB</a>
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A description of the database here: <a href="https://arxiv.org/pdf/1806.09514.pdf">https://arxiv.org/pdf/1806.09514.pdf</a>

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This dataset is built for the purpose of emotional speech synthesis. The transcript were based on the CMU arctic database: <a href="http://www.festvox.org/cmu_arctic/cmuarctic.data">http://www.festvox.org/cmu_arctic/cmuarctic.data</a>.
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It includes recordings for four speakers- two males and two females.
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The emotional styles are neutral, sleepiness, anger, disgust and amused.
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Each audio file is recorded in 16bits .wav format
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Spk-Je (Female, English: Neutral(417 files), Amused(222 files), Angry(523 files), Sleepy(466 files), Disgust(189 files))
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Spk-Bea (Female, English: Neutral(373 files), Amused(309 files), Angry(317 files), Sleepy(520 files), Disgust(347 files))
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Spk-Sa (Male, English: Neutral(493 files), Amused(501 files), Angry(468 files), Sleepy(495 files), Disgust(497 files))
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Spk-Jsh (Male, English: Neutral(302 files), Amused(298 files), Sleepy(263 files))
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File naming (audio_folder): anger_1-28_0011.wav - 1) first word (emotion style), 1-28 - annotation doc file range, Last four digit is the sentence number.
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File naming (annotation_folder): anger_1-28.TextGrid - 1) first word (emotional style), 1-28- annotation doc range
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You can cite the data using the following BibTeX entry:
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@article{adigwe2018emotional,
  title={The emotional voices database: Towards controlling the emotion dimension in voice generation systems},
  author={Adigwe, Adaeze and Tits, No{\'e} and Haddad, Kevin El and Ostadabbas, Sarah and Dutoit, Thierry},
  journal={arXiv preprint arXiv:1806.09514},
  year={2018}
}

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