Amazing!

Love it!

Cool!

Woah! I likey

@manton how many people are going to say that’s really good training data for a voice model…. But it was nice to hear your personal voice, as another human.

@phils there will be these people... sigh.

nifty!

@phils Thanks! Yep, it's a great question. Voice models are about to get very, very good. But they're still not me.

Pretty wild. Looking forward to seeing more on this one.

How do we know you recorded that audio and are not using AI that used your voice to train it? 🙃 With your podcasts, I bet it’s pretty easy to do and quite accurately.

@james I had a bug with dark mode that I just fixed. Maybe that was it?

@pratik Heh. Well, the mistakes I didn't edit out this time. 🙂 But yeah, synthetic voices are getting incredibly good.

@manton @james

it's over here with all of the comments

https://www.manton.org/2024/05/24/this-blog-post.html

@james Oops, I see what happened. The “transcript” link messed up the post on Mastodon. Fixed going forward.

But jokes aside, if I train an AI model with my voice and use it for such post narration, is that not using AI "correctly"? It will save me tons of time and yet personalize my blog posts. Heck, I don't mind (in fact, prefer) if it preserves my stutter.

@pratik Maybe it’s like alt text: hand-written alt text is great, but AI-generated text is so good why not use it so that it’s accessible to more people? Likewise maybe in the future all posts will have synthetic narration by default but humans can override as needed to provide their own audio.

I love this. What a cool feature; hope it’s able to be released soon!

I'm anxious to try it as soon as my visual theme is updated by @Mtt and @ericgregorich !

@numericcitizen cool feature. I’ll update the Cards Theme with support for it when it’s released.

@numericcitizen Tiny will definitely support it.

Yup. Auto-generated (in my voice) but the option to override specific posts in case I want to do it in a different tone/mood/impression.

This is cool work. Out of curiosity, in your example post, is AI transcribing your voice input? To me it sounded very much like you were reading the post as if it were already written. If it was transcribed, how did you handle the screenshot image insertion? Was it the little “screenshot here” aside? Finally, does the transcription save as a draft to clean up then manually post? Sorry for many questions.

@jimmitchell I wrote the blog post myself, then read it, but funnily enough after I posted it Micro.blog did transcribe the audio back to text with AI. In this case, that was redundant, so the transcript can be tossed.

@pratik That's exactly what I've been dreaming of.

So would it make to first make audio “post” and then have AI transcribe it? ☺️@jimmitchell

Interesting. I can't seem to find any transcriptions for my tests on my test micro.blog. Are you dumping them as part of the feature, or have I missed something? Will the feature ever get to the place of being able to upload audio and the post gets transcribed?

@jimmitchell One limitation that you might be hitting: we only transcribe one audio file per day. I was worried about the costs, but it has been fine so I'm going to raise that limit this week. If you click Transcripts, you can delete previous transcripts to work around the limitation for now. Also, check Account → View logs. It has log entries specifically for transcripts.

@pratik Yes, I actually do this pretty often! Upload audio to my test blog, grab the transcript, then delete it.

@jimmitchell Also check out the other limitations in the documentation. For example, it only works with MP3 files.

What? RTFM? Never! 🤣

Thanks. That clears things up a lot and explains why I didn't see a transcript, since I uploaded in .m4a format.

I'm more of a writer than a talker, so the opposite would work for me, but for people who do what you do, perhaps it can be made more automated?