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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Thorsten-Voice Dataset 2021.06 emotional

Authors: Müller, Thorsten; Kreutz, Dominik;

Thorsten-Voice Dataset 2021.06 emotional

Abstract

Thorsten-Voice (Thorsten-21.06-emotional) is an emotional dataset recorded by Thorsten Müller, audio optimized by Dominik Kreutz and licenced under CC0 to provide it for anybody without any financial or licence struggle. "I contribute my personal voice as a person believing in a world where all people are equal. No matter of gender, sexual orientation, religion, skin color and geocoordinates of birth location. A global world where everybody is warmly welcome on any place on this planet and open and free knowledge and education is available to everyone." (Thorsten Müller) Dataset contains 2.400 recordings. 300 sentences * 8 emotions = 2.400 recordings recorded by Thorsten Müller audio optimized by Dominik Kreutz mono samplerate 22.050Hz normalized to -24dB no silence at beginning/ending sentence length: 59 - 148 chars Here's the audio length by emotion: Neutral 🙂19 min. Disgusted 🤢23 min. Angry 😠20 min. Amused 😀18 min. Surprised 😲18 min. Sleepy 😔30 min. Drunk (i was "not" drunk while recording, just pronouncing it this way!) 😵25 min. Whispering 🤫22 min. For more details see my Github page or Thorsten-Voice project website.

Please use it to make the world a better place for whole humankind.

Keywords

Thorsten Open German Voice Dataset TTS Text-to-speech

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citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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