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The HTS voice from NIT recommended in the article (voice_cmu_us_slt_arctic_hts) actually sounds much better than the clunky robot from a decade ago. Hear it her
by danuker 5y ago
The HTS voice from NIT recommended in the article (voice_cmu_us_slt_arctic_hts) actually sounds much better than the clunky robot from a decade ago. Hear it here:
https://youtu.be/MmcLFJQpv2o?t=85 https://youtu.be/MmcLFJQpv2o?t=85
Edit: or on the online demo; select "HMM-based method (HTS 2011) - Combilex" > "SLT (English American female)".
https://www.cstr.ed.ac.uk/projects/festival/onlinedemo.html https://www.cstr.ed.ac.uk/projects/festival/onlinedemo.html
- okamiueru 5y agoIt does indeed sound much better yes. But, that voice was already there a decade ago. It's not... hm. Let me just say that I don't wish to disparage the work done on those projects, as I do think it is great. Maybe it better illustrates my point by taking a listen to this video which showcases the project I mentioned, as machine learning techniques have progress immensely the last decade: https://www.youtube.com/watch?v=-O_hYhToKoA https://www.youtube.com/watch?v=-O_hYhToKoA There are of course great benefits to something simple to use. I remember cross-compiling flite to run on a custom android/windows/linux project to generate voice lines intended for a in-game robot companion (nothing came of it though) based on SDL. It probably would not be nearly as feasible to do the same for some dependency-heavy machine learning library. Now, I haven't done any research to find better examples of projects. I was just surprised how identical the article describes the options, to what was available 12 years ago.