> have produced the most realistic AI simulation of a voice we’ve heard to date.
No you didn't. Please do not lie.
There are a number of projects replicating Google's Tacotron 2 research from December 2017 that achieved human parity in text-to-speech as measured by MOS score. Google's Tacotron 2 model was then successfully deployed by Google in a service called Duplex.
Following up on this research, there are a number of open source and commercial projects that have used Google's Tacotron 2 human-parity TTS research:
> he didn’t actually endorse our work like this, it’s a clip from the video the team created featuring their work. Video and more after the jump!
It's absolutely unresponsible/illegal to clone a person's voice without consent. To use Joe Rogan's likeness for your publicity stunt without his consent is unethical in its self. It's Joe Rogan's legal right to control his own likeness.
Furthermore, this presents a number of safety risks to Joe Rogan including the possibility of identity fraud.
Finally, at this time, TTS human parity technology is at human-parity when tested on phrases and sentences similar to those in the training set. Google's Tacotron-2 models showed a significant decrease in performance reading 37 news headlines. They mentioned in their evaluation:
> This result points to a challenge for end-to-end approaches – they require training on data that cover intended usage.
https://github.com/PetrochukM/PyTorch-NLP -- Following writing a NLP research paper. Working on open sourcing the tools that helped me rapidly prototype. PyTorch-NLP comes with pre-trained embeddings, samplers, dataset loaders, metrics, neural network modules and text encoders.
No you didn't. Please do not lie.
There are a number of projects replicating Google's Tacotron 2 research from December 2017 that achieved human parity in text-to-speech as measured by MOS score. Google's Tacotron 2 model was then successfully deployed by Google in a service called Duplex.
Following up on this research, there are a number of open source and commercial projects that have used Google's Tacotron 2 human-parity TTS research:
Open source projects:
- https://github.com/mozilla/TTS
- https://github.com/Rayhane-mamah/Tacotron-2
- https://github.com/NVIDIA/tacotron2
Commercial TTS projects:
- http://deepzen.io/
- https://wellsaidlabs.com/
- https://ai.googleblog.com/2018/05/duplex-ai-system-for-natur...
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> he didn’t actually endorse our work like this, it’s a clip from the video the team created featuring their work. Video and more after the jump!
It's absolutely unresponsible/illegal to clone a person's voice without consent. To use Joe Rogan's likeness for your publicity stunt without his consent is unethical in its self. It's Joe Rogan's legal right to control his own likeness.
Furthermore, this presents a number of safety risks to Joe Rogan including the possibility of identity fraud.
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Finally, at this time, TTS human parity technology is at human-parity when tested on phrases and sentences similar to those in the training set. Google's Tacotron-2 models showed a significant decrease in performance reading 37 news headlines. They mentioned in their evaluation:
> This result points to a challenge for end-to-end approaches – they require training on data that cover intended usage.