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 details:

• recordings from just one male native german speaker (Thorsten Müller)
• audio optimized (Dominik Kreutz)
• ljspeech-1.1 structure
• 22.668 recorded phrases (wav files)
• more than 23 hours of pure audio
• samplerate 22.050Hz
• mono
• normalized to -24dB
• phrase length (min/avg/max): 2 / 52 / 180 chars
• no silence at beginning/ending
• avg spoken chars per second: 14
• sentences with question mark: 2.780
• sentences with exclamation mark: 1.840

Based on this dataset there're several pretrained tts (text-to-speech) models freely available.

Additional links

• Github project page with more details
• Audio samples of dataset and trained tts-models
• Medium article on why i contributed my voice for mankind

tl;dr Please don't use for evil!