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Time for another demo of synSinger:
Twinkle, Twinkle Little Star - synSinger #6For comparison, here's what it sounded like a couple weeks ago:
Twinkle, Twinkle Little Star - synSinger #5It's still miles away from SoftVoice, but it is improving incrementally. If anyone is interested in trying synSinger out, contact me and I'll get you a copy to play with. I've been in contact with the SoftVoice folk, and apparently a change a couple months ago had unexpected consequences on the singing functionality. So they'll be fixing that, but it'll take a while to fix. The good news for me is that they'll be sending me the demo program after that, so I can create some examples myself to post.
Last edited by dcuny; 05/01/14 08:41 AM. Reason: Forgot to finish a thought.
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I've been in contact with the SoftVoice folk, and apparently
Hi David Don't leave us in suspense like that ...and apparently what? !!
BIAB & RB2024 Win.(Audiophile), Sonar Platinum, Cakewalk by Bandlab, Izotope Prod.Bundle, Roland RD-1000, Synthogy Ivory, Kontakt, Focusrite 18i20, KetronSD2, NS40M Monitors, Pioneer Active Monitors, AKG K271 Studio H'phones
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I'm looking forward to the day when we can load a voice bank of our favourite singers into a program and it will sound exactly like her/him.
Maybe even Elvis will live again.
To be honest I thought we would have reached that stage now such as the advances in technology, but it seems not.
Musiclover
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I tend to agree Musiclover. Some software applications for spoken word are quite impressive, incredibly realistic, with nuances, punctuation and expression. Ivona is one that comes to mind. But putting musical pitch to that and maintaining realism seems to be at least an order of magnitude more difficult.
BIAB & RB2024 Win.(Audiophile), Sonar Platinum, Cakewalk by Bandlab, Izotope Prod.Bundle, Roland RD-1000, Synthogy Ivory, Kontakt, Focusrite 18i20, KetronSD2, NS40M Monitors, Pioneer Active Monitors, AKG K271 Studio H'phones
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Ooops, sorry about that. Fixed the first post. synSinger is taking all my free time (and then some), but I may look into creating a MusicXML to Vocaloid export at some point. There are a couple of problems, though. I don't have an English to SAMPA dictionary (the phonetic coding scheme that Vocaloid uses), and there's no official file spec that I know of (but I know it's a modified form of MIDI). But for now, getting synSinger to an acceptable level is more than keeping my hands full.  I should note that Sinsy uses the same sort of technology that IVONA (and just about all modern TTS software) is based on - Hidden Markov Models. But yes, it takes an entirely different sort of approach to train HMM to deal with music. So it literally is orders of magnitude harder, because now the training set has to be expanded to include examples of speech for each pitch and duration... unless you're doing a clever hack (like Sinsy) to combine them.
Last edited by dcuny; 05/01/14 08:56 AM.
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David, I can't even imagine how anyone would want to tackle such a difficult challenge for fun. I admire and respect your gumption. It's come a long way since the beginning. Getting closer to my wanting to snap my fingers in time with the singer. 
Jim Fogle - 2024 BiaB (1111) RB (5) Ultra+ PAK DAWs: Cakewalk by BandLab (CbB) - Standalone: Zoom MRS-8 Laptop: i3 Win 10, 8GB ram 500GB HDD Desktop: i7 Win 11, 12GB ram 256GB SSD, 4 TB HDD Music at: https://fogle622.wix.com/fogle622-audio-home
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I'm looking forward to the day when we can load a voice bank of our favourite singers into a program and it will sound exactly like her/him. At one point, physical modeling was the way things were done. So the idea was that you could build a simulation of a singer, and then when you ran the simulation you'd end up with something that sounded like that singer. It's sort of like the idea that you could just capture the notes that various instruments make, and reconstruct music from it. But it turns out that the connection between the notes can often be as important, so digital samplers now focus on the transitions between the notes as much as the notes themselves. The old approach to speech of getting point in time samples, and then (essentially) morphing between them is no longer being followed for TTS. Current technology is based on being able to take a training set of data (usually hours and hours of spoken text), and slice it into segments. When given text to speak, the program recombines the training material using probability to create synthetic speech. So none of the data is discarded, and the transitions between the sounds are preserved. Sinsy essentially creates spoken word and warps it into sung speech via pitch shifting. But... the "sound" of a singer isn't just based on what they sound like, but the sorts of musical decisions they make - holding notes a bit longer in some places, adding vibrato in others... There are a lot of possibilities, and the task of creating and classifying a source database of material would be quite difficult - especially when the singer you want to emulate is dead! It turns out that (like many things) that people were a bit too optimistic about how easy a task this would be to solve.
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Getting closer to my wanting to snap my fingers in time with the singer. Thanks! "Twinkle, Twinkle Little Star" isn't the best song to use a demo, but it helps me hear what's changed from one version to the next. Hank Sims has been doing beta testing on this for me, and sent me a number of songs, including "Route 66" and "Tennesee Waltz". Often they'll identify some sort of bug in synSinger, but it's fun to hear it singing various songs. As it's currently written, synSinger has a bit of a drawl, especially on sonorants like L and Y. The end result is he sounds a bit like a congested version of Kermit the Frog.  One of these days I'll get around to implementing anti-resonators to better simulate the nose, but there are always more serious bugs to fix first.
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Here's a more "finger snapping" song that Hank Sims sent me. (Thanks, Hank!  ) Sorry for the poor quality, I just happened to have it handy: Any TimeWritten in 1921 by Herbert Happy Lawson, so it's in the public domain. I'll try to get a newer version (with less glitches) up eventually. I've fixed a lot of the "clicks" in the current version, but there are still issues with some sounds being clipped. The "drawl" I mentioned before is because how dipthongs are handled. When you sing something like "TIME", the I is essentially two different sounds - AH-EE. The AH sound is supposed to be held until the last second and the EE only gets a short duration, but synSinger currently splits them about 50/50. I sort of like the effect, but it really should be fixed at some point.
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All this (and your personal blog) is truely interesting, but I did'nt be able to find WHERE you post your SynSinger software versions ?
I would be extremely excited if I could test it by myself !
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Work on synSinger is currently on hold for the summer, but I'll start working on it again at some point when the coding bug bites again. I haven't posted the source publicly yet, as it's still very much beta software. But you can find the most current copy here: synSinger.zipThe .zip file contains the executable, and instructions for installation and use with BiaB. If you have any problems, you can drop me an email.
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As a former singer and currently mute, I've followed David's experiments with keen interest. Kudos are certainly in order, David. www.vocalid.org is currently collecting voice donations and I joined their huge database of voice samples today. This is the genetic reply received today. I submit it here because of the importance of the highlighted text. "Thank you for wanting to be part of VocaliD and The Human Voicebank Initiative - our effort to collect voice samples from donors like yourself. At present, we are raising funds to launch the voice drive and store all the data. We are also developing tools to collect high quality speech recordings without requiring donors to visit a professional studio. We hope to have the tools ready in the near future and will keep you abreast on our progress. In the mean time, we could use your help in spreading the word about the project and recruiting others who may want to contribute.
Together we can change lives!
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