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, 2021)

tl;dr Please don't use for evil!

Emotional dataset details:

• recordings from male single-speaker native german speaker (Thorsten Müller)

• audio optimized (Dominik Kreutz)

• 300 identical phrases recorded in 8 DIFFERENT EMOTIONS = 2.400 recordings = 175 minutes audio material

• ljspeech-1.1 directory structure

• samplerate 22.050Hz

• mono

• normalized to -24dB

• phrase length 59 - 148 chars

• no silence at beginning/ending

Recording length (300 identical phrases) for each emotion

• "neutral" (19 minutes)

• "amused" (18 minutes)

• "angry" (20 minutes)

• "disgusted" (23 minutes)

• "sleepy" (30 minutes)

• "surprised" (18 minutes)

• "drunk", recorded sober without being drunk, just pronounced it that way :-) (25 minutes)

• "whispering" (22 minutes)

Additional links

• Twitter Account ThorstenVoice

• Thorstens Github page on open german voice dataset

• Medium article on why i contributed my voice for mankind

• Dominiks Github page

   Please keep in mind that a am no professional speaker or voice actor. I'm just a guy sharing his voice.

External URL: https://github.com/thorstenMueller/deep-learning-german-tts/   Thorsten - Open German Voice Dataset