3 ms·
1) Mentioned near the end of the video that it actually required around 20 minutes of audio to start synthesys. Not quite as magic as it first seemed. Still coo
by noonespecial 10y ago
1) Mentioned near the end of the video that it actually required around 20 minutes of audio to start synthesys. Not quite as magic as it first seemed. Still cool.
2) The intonation always matched the initial sample. Give us some filters like "vocal fry", "perplexed", "angry", "wonder" etc and then we'll really have something here.
- dietr1ch 10y agoIt would be really useful to capture speed, intonation and other things involving expression from a sample from somebody else. It seems quite hard to describe those as text is not enough, and even harder to correctly generate them from a database that contains no matching expression. I imagine that currently you can't turn the speech into a track for a rollercoaster scream.
- deleted 10y ago[deleted]
- Florin_Andrei 10y ago> Give us some filters like "vocal fry", "perplexed", "angry", "wonder" etc and then we'll really have something here Neural networks can already do style transfer for images. Seems like it should be doable for voice, too.
- augustt 10y agoI wonder if you could get interesting results by applying neural style transfer to spectrograms.