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Bark: A transformer based text to audio system

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Re: Bark: A transformer based text to audio system

#21
post #11

Oh, that's interesting - I've played the Polish bit from the examples page [1] and it's quite heavily accented. Like a foreign national learning the language. Do the other non-English examples also sound somewhat off to native speakers? [1] https://suno-ai.notion.site/Bark-Examples-5edae8b02a604b54a4...

The french example sounds off in my opinion, it seems to mix up its consonants/ vowels.

The "OU" sound from "nous" sounds like "EU", or like if the sound was skipped. The "OH" sound from "sommes" sounds like "EU" (again, but less pronounced). The "T" sound from "trop" becames "P" ("pro").

Re: Bark: A transformer based text to audio system

#24
I'll link my Bark fork with long audio generation and other features on the root thread, I suppose: https://github.com/JonathanFly/bark

There's going to be a big update this week with some new stuff I haven't talked about. And a bunch of amazing, clear voices, with a huge variety of styles, that blow the default Suno voices out of the water. Arguably even better than Eleven in some ways. I'm excited even though I have nothing to DO with the voices!

Don't get too attached though. I was just playing around and made a Bark fork and it got more popular than expected. And now I'm dreading a future full of hours of unpaid support and maintenance that I definitely can NOT afford, for a software product I don't even really have a personal use case for. I'm not generating my own audiobooks or anything, I won’t be using it long term myself, I was just curious what Bark could do. (Turns out a LOT more than you might think at first glance, as you'll see this week.) So I'm already trying to work out how I can elegantly wind this thing down and transition people somewhere else. But I'll keep it updated for at least a little while.

Re: Bark: A transformer based text to audio system

#25
With some tinkering you can create really interesting stuff with Bark. I managed to generate a couple of song snippets / intros using free form text [1]

Haven't tested it personally yet but if you are interested in voice cloning, you might wanna check this fork of Bark [2]

[1] https://github.com/suno-ai/bark/discussions/249 [2] https://github.com/serp-ai/bark-with-voice-clone

Re: Bark: A transformer based text to audio system

#26
I've been following Bark and its forks looking for a stable working cloning solution (for now, straight approaches at generating and using the npz files does not work), and oh boy. I have never seen so much low-quality git activity like in these repos. It really got me worried.

Re: Bark: A transformer based text to audio system

#27

Earlier quoted context omitted.

I'm curious, how did you generate the David Attenborough voice? The repo says: > Bark tries to match the tone, pitch, emotion and prosody of a given preset, but does not currently support custom voice cloning.

>I'm curious, how did you generate the David Attenborough voice? The repo says: >> Bark tries to match the tone, pitch, emotion and prosody of a given preset, but does not currently support custom voice cloning Check back later in the week, I'll have a bit more on that later after I catch up on actual work and can write a bit.

Thanks!

Re: Bark: A transformer based text to audio system

#28

Suno is kind of underselling this with their default voices. With just a little effort you get great stuff, very emotive, fantastic cadences. Here's my female David Attenborough I was playing around yesterday. Not the clearest but charming. https://user-images.githubusercontent.com/163408/238257231-4... And Bark is more than TTS. While I haven't had much success with one-shotting full songs with Bark, you build a dec…

Yeah I was trying to figure out how good it was in Korean. The cadence and flow was pretty good but there was kind of artifacts in the audio. Then I check the samples of the default audio prompts for Korean any my god, they were godawful. Switching it up made a world of difference.

Re: Bark: A transformer based text to audio system

#29

Suno is kind of underselling this with their default voices. With just a little effort you get great stuff, very emotive, fantastic cadences. Here's my female David Attenborough I was playing around yesterday. Not the clearest but charming. https://user-images.githubusercontent.com/163408/238257231-4... And Bark is more than TTS. While I haven't had much success with one-shotting full songs with Bark, you build a dec…

I'm curious, how did you generate the David Attenborough voice? The repo says: > Bark tries to match the tone, pitch, emotion and prosody of a given preset, but does not currently support custom voice cloning.

https://github.com/serp-ai/bark-with-voice-clone

Re: Bark: A transformer based text to audio system

#30

Suno is kind of underselling this with their default voices. With just a little effort you get great stuff, very emotive, fantastic cadences. Here's my female David Attenborough I was playing around yesterday. Not the clearest but charming. https://user-images.githubusercontent.com/163408/238257231-4... And Bark is more than TTS. While I haven't had much success with one-shotting full songs with Bark, you build a dec…

Yeah I was trying to figure out how good it was in Korean. The cadence and flow was pretty good but there was kind of artifacts in the audio. Then I check the samples of the default audio prompts for Korean any my god, they were godawful. Switching it up made a world of difference.

>Yeah I was trying to figure out how good it was in Korean. The cadence and flow was pretty good but there was kind of artifacts in the audio. Then I check the samples of the default audio prompts for Korean any my god, they were godawful. Switching it up made a world of difference.

I have a decent amount really clear Korean voices BTW. That and French, from people asking on Discord. But I can't judge the accents only that they are clear speakers.

Korean was interestingly the lone somewhat-coherent one-shot long term music sample I ever managed to get out of Bark.

https://www.youtube.com/watch?v=4pV9d25KqCE

The second music bit in this Youtube was one continuous generation where the last prompt was used as the history for the next, with no cherry picking or assembling the clips, just one solid segment. And it sort of holds together for like almost a minute!

I was excited because I thought maybe Bark could be like a real-time OpenAI Jukebox. But that was literally the only time so far where using a full-feedback held together like that. You can kind of 'cheat' it to by using a very popular song as the input text, and sometimes Bark will produce the appropriate melody. But of course that's not really the point of using your own text. I have some ideas for making it more coherent, but nothing easy. Too bad, Jukebox is just SO SLOW.

Actually with what I know now I should re-render this and clean up the distortion. At the time I couldn't do it. Though I only have the first segment prompt.

I have a decent amount really clear Korean voices BTW. But I can't judge the accents, only that they are clear.

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