1- Don't host on anchor. Podcasting is an open standard. Don't let companies (like Spotify or Apple) take it over. Check https://podcastindex.org/
2- The voice is too mechanical for this to be actually reasonable to listen to at night, potentially could be listenable with AWS Polly Neural voices, it's pretty good.
I didn't much love hosting on Anchor/Spotify, but I made this in half an hour and I didn't want to have to get into RSS/site generation. Do you know of an easy way to dump audio files and some metadata somewhere and get a Podcast with RSS? I can upload there as well.
I'll try Polly, thanks! The current voice annoys me too.
AWS Polly looks interesting! I wish it supported some more languages, for personal reasons. Maybe I'll try to set something up that reads ebooks, tweets, or news articles to me with this.
Do you know if there are any similar quality TTS tools for less technical applications? I mean, where you can just type in the text you want and get an audio file with a high quality voice?
I actually think the voice is pretty good for sleeping, feels very droney. but the nonsensicalness of the stories made it harder to sleep because my brain was trying to figure out what was going on
Cool idea but that voice is like sandpaper to my ears.
Maybe a female voice, a bit quieter (the soundscapes are almost completely silent for me) and maybe add some high-room-size, long decay (5-10, maybe even 20 seconds), wide panned (like 100%) and moderately diffused (maybe 10-20%) reverb to the voice with like 30% mix or so, which would add a very airy tone and help the voice blend in a bit. If the TTS engine has a whisper setting (many do), add just a bit. It'll help thicken the reverb.
That, paired with bass-heavy soundscapes, will create a very nice balance between the low registers and the voice's high registers.
There's also a few TTS systems which are pretty natural sounding too. Maybe one of those if they wanted to make a subscription for this, that way they could offset the price of the TTS service
>> So he chained her up in her room and he chained up hundreds of angry wolves in the other side of the room. [...] But he made the window and the doors big enough so that the fierce beasts could move in and out and chase her away. And they lived happily ever after.
These fairy tales are quite hypnotic for me due to weirdness of AI generated grammar and plot. They reminded me of a beautiful fairy tale Richard Bandler wrote. It is a fable written intentionally using hypnotic language techniques (part of Neuro Linguistic Programming set of patterns) and a nice read.
I think several people have commented on how GPT produces narratives with a dream-like quality, locally sensical but less and less so the more you zoom out. I've since found that catching myself thinking nonsensical thoughts is a sure sign I'll soon be asleep. Seems like without high level attention, we do almost exactly what GPT does.
Supposed to be nonsense stories, but after two minutes of listening, I don't find it nonsensical at all. Sounds like something perfectly reasonable written by a seven to ten year old child.
Good analogy. It feels as if AI is in its child-like stage, trying to make sense of the world on its own, mixing together concepts it has just discovered but not fully understood in an amusing way.
My dog fell asleep while I had episode 4 running (the end caught me by surprise, haha).
I mean, she would have fallen asleep anyway, I probably could not. The voice is a little unpleasant and I concentrate too much on the nonsensical stories. But I also can't really fall asleep when the TV is running, so YMMV.
It is kind of hard to sleep to, I agree. This is a deepfake voice, ie it's generated by Google's WaveNet, which afaik is a deep learning thing. Unfortunately they didn't have a more whispered/softer voice, but I like the insanity of the generated stories anyway.
GPT3 does tend to get a bit repetitive, though, with the default temperature (0.7).
The GPT-3 generated conversations were coherent most of the time, and even interesting! However the generated speech via Google Cloud's API was monotonous and could do with a bit more intonation and excitement.
Let's say one had a child and instead of music, you played these GPT3 generated stories, would the child then have been trained to speak by an AI, and if so, what else can we do? Hypothetical and unethical, but that never stopped Skinner, or any of them really. It's something we're going to have to consider.
Brilliant :) My main concern is that my brain would just wander off if the story is complete nonsense. I will give it a try. I've been listening to the same podcast episode for months now to help me fall a sleep.
I find the stories toe the line of "just enough sense" to keep it interesting. Episode 2 is the one I liked the most so far, I was reading the text with lots of interest!
Is there anything different about a podcast like this from a copyright perspective? Are machine generated products just as copyrightable as if OP had written and produced these using traditional methods?
This is really cool from an engineering perspective, but there was a sort of uncanny valley vibe that makes me fear for the psychological health of someone listening to this all night.
[+] [-] yessirwhatever|4 years ago|reply
1- Don't host on anchor. Podcasting is an open standard. Don't let companies (like Spotify or Apple) take it over. Check https://podcastindex.org/
2- The voice is too mechanical for this to be actually reasonable to listen to at night, potentially could be listenable with AWS Polly Neural voices, it's pretty good.
[+] [-] stavros|4 years ago|reply
I'll try Polly, thanks! The current voice annoys me too.
[+] [-] kevincox|4 years ago|reply
Really the main concern I would say is that the author doesn't own the domain so they are locked in, but I don't see how this affects listeners.
[+] [-] asxd|4 years ago|reply
[+] [-] quiffledwerg|4 years ago|reply
[+] [-] yosito|4 years ago|reply
Do you know if there are any similar quality TTS tools for less technical applications? I mean, where you can just type in the text you want and get an audio file with a high quality voice?
[+] [-] mekkie|4 years ago|reply
[+] [-] zebraflask|4 years ago|reply
But podcasts? There has got to be a more interesting use case than that.
[+] [-] junon|4 years ago|reply
Maybe a female voice, a bit quieter (the soundscapes are almost completely silent for me) and maybe add some high-room-size, long decay (5-10, maybe even 20 seconds), wide panned (like 100%) and moderately diffused (maybe 10-20%) reverb to the voice with like 30% mix or so, which would add a very airy tone and help the voice blend in a bit. If the TTS engine has a whisper setting (many do), add just a bit. It'll help thicken the reverb.
That, paired with bass-heavy soundscapes, will create a very nice balance between the low registers and the voice's high registers.
Just a thought. :)
[+] [-] stavros|4 years ago|reply
Actually, fuck it:
https://gitlab.com/stavros/deep-dreams
I'll implement your suggestions (or as many as I can), thanks!
[+] [-] trutannus|4 years ago|reply
[+] [-] camillomiller|4 years ago|reply
I would never sleep with this, I would laugh too much! I love absurdist AI stories
[+] [-] sparky_|4 years ago|reply
>> So he chained her up in her room and he chained up hundreds of angry wolves in the other side of the room. [...] But he made the window and the doors big enough so that the fierce beasts could move in and out and chase her away. And they lived happily ever after.
[+] [-] miniatureape|4 years ago|reply
[+] [-] gala8y|4 years ago|reply
https://www.goodreads.com/book/show/364664.The_Adventures_of...
[+] [-] ravi-delia|4 years ago|reply
[+] [-] lloydatkinson|4 years ago|reply
[+] [-] stavros|4 years ago|reply
EDIT: Actually some of the other voices are really good... I'll try that, thanks!
[+] [-] Mashimo|4 years ago|reply
[+] [-] Strs2FillMyDrms|4 years ago|reply
[+] [-] stavros|4 years ago|reply
[+] [-] intricatedetail|4 years ago|reply
[+] [-] tejohnso|4 years ago|reply
[+] [-] biql|4 years ago|reply
[+] [-] vletal|4 years ago|reply
Definitely did not help me fall a sleep.
[+] [-] tunesmith|4 years ago|reply
[+] [-] stavros|4 years ago|reply
[+] [-] sumgame|4 years ago|reply
Maybe using some sort of deepfake for voice would make this a 100x better.
[+] [-] max-m|4 years ago|reply
I mean, she would have fallen asleep anyway, I probably could not. The voice is a little unpleasant and I concentrate too much on the nonsensical stories. But I also can't really fall asleep when the TV is running, so YMMV.
[+] [-] stavros|4 years ago|reply
GPT3 does tend to get a bit repetitive, though, with the default temperature (0.7).
[+] [-] udbhavs|4 years ago|reply
[+] [-] Samin100|4 years ago|reply
The GPT-3 generated conversations were coherent most of the time, and even interesting! However the generated speech via Google Cloud's API was monotonous and could do with a bit more intonation and excitement.
[+] [-] stavros|4 years ago|reply
[+] [-] jrootabega|4 years ago|reply
[+] [-] stavros|4 years ago|reply
[+] [-] motohagiography|4 years ago|reply
[+] [-] elil17|4 years ago|reply
[+] [-] tinyhouse|4 years ago|reply
[+] [-] stavros|4 years ago|reply
[+] [-] chrisfrantz|4 years ago|reply
[+] [-] episode0x01|4 years ago|reply
[+] [-] stavros|4 years ago|reply
[+] [-] jamesfmilne|4 years ago|reply
It is also pretty cool though.
Reminds me a bit of Blue Jam: https://www.youtube.com/watch?v=E8VG6HUimsQ
[+] [-] flutetornado|4 years ago|reply
[+] [-] criddell|4 years ago|reply
[+] [-] Jimmc414|4 years ago|reply