  We describe our approach to create and deliver a custom voice for a
conversational AI use-case. More specifically, we provide a voice for a Digital
Einstein character, to enable human-computer interaction within the digital
conversation experience. To create the voice which fits the context well, we
first design a voice character and we produce the recordings which correspond
to the desired speech attributes. We then model the voice. Our solution
utilizes Fastspeech 2 for log-scaled mel-spectrogram prediction from phonemes
and Parallel WaveGAN to generate the waveforms. The system supports a character
input and gives a speech waveform at the output. We use a custom dictionary for
selected words to ensure their proper pronunciation. Our proposed cloud
architecture enables for fast voice delivery, making it possible to talk to the
digital version of Albert Einstein in real-time.
