musicam
Joined 3 years ago
Karma
6
Submissions
5
Member since
May 15
Recent submissions
Comment · 3 years ago
Comment · 3 years ago
It's Synthesizer V from Dreamtonics, with that clip using the SOLARIA voice database of Eclipsed Sounds:
Comment · 3 years ago
It depends on the audience, and the producer. Some people are content with listening to robotic-sounding Vocaloid type synths, others prefer something closer to an authentic singing voice with the more complex range of emotion that can be expressed.
Even just from a technology point of view, I find it fascinating to see how the envelope is being pushed via machine learning models.
Comment · 3 years ago
I do similar to this, recording to a voice notes app, but then importing the clip into my DAW, which quite helpfully visualizes an approximation of the pitch I was singing at, and using this as a template to build instrumental parts upon. Usually my vocal tracks aren't in the final mix, once I've replaced them.
Comment · 3 years ago
One thing that has been amazing me recently is the current state of vocal synthesis. It seems to have improved rapidly in the space of just a few years, thanks to neural network models.
For example, here's a quick clip from a synth I've been using in recent weeks:
https://vocaroo.com/125tAD40Gl6d
It sounds almost like a real voice, and that's just using the default settings, without any effort to tweak it further to improve the realism.
What really sold it to me was listening to some beautifully crafted covers from this YouTube channel: https://www.youtube.com/watch?v=KX0lcVr9ugI
Prior to this, I'd been experimenting with pitch-shifting the output of Google's Text-to-Speech service (https://cloud.google.com/text-to-speech), which was quite interesting and somewhat pleasant sounding for spoken word vocals, but didn't really have the range or expressiveness I was looking for more generally.