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Show HN: Audino – Open-Source Audio and Speech Annotation Tool

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Re: Show HN: Audino – Open-Source Audio and Speech Annotation Tool

#32
post #20

README.md file could use an image. I recommend the one from this page: https://github.com/midas-research/audino/blob/master/docs/tu...

Thank you for your suggestion! We're working hard to get a demo video out and intentionally left space for it. But sure, we can add a placeholder image till then.

Re: Show HN: Audino – Open-Source Audio and Speech Annotation Tool

#33
post #23

If I had a subtitle file to use as best guesses for sentence segmentation, could this help extract clips and clean up start and end alignment?

Interesting usecase! Currently, the tool allows creation of datapoint along with reference transcripts. From what I understand, you wish to fix the subtitle start and end time while keeping the transcription for that segment same. If yes, we plan to add an enhancement where you can pass annotations aka segments with transcripts. This should solve your usecase.

Re: Show HN: Audino – Open-Source Audio and Speech Annotation Tool

#34

Earlier quoted context omitted.

yarn.lock is just under half a megabyte, and lists 1461 packages that it installs. (232 of them are second or subsequent versions of the same package, which typically indicates unmaintained software. It has five versions of kind-of, and four versions of ten other packages.)

Ya, that's not great - don't think the parent project of this post has gone off the rails though. More of an ecosystem problem.

I think you should refer to package.json for actual dependencies. But yes, I agree that tool dependencies are dependent on a lot of dependencies. I'll evaluate and reduce tool dependencies, if possible.

That being said, the gzipped js bundle size is fairly small (under 200kb).

Re: Show HN: Audino – Open-Source Audio and Speech Annotation Tool

#36
post #3

Maybe it's me, but I was expecting this to be something to do with Arduino, given the name and the colour they've chosen for the logo.

Yeah, took me a bit of time staring at the title to unsee it being about Arduino or a portmanteau of it.

Re: Show HN: Audino – Open-Source Audio and Speech Annotation Tool

#37
post #9

Is there an API for getting the data to annotate into that app, and for getting the annotations out? Most of the time I need the labels in my own system, and don't want to manually move data back and forth.

Yes! To add data to your project, we provide an API-Key and an endpoint to upload the data. To export the data, there's an option on admin panel from where you can download it in JSON format. Please check the tutorials section for more details: https://github.com/midas-research/audino/blob/master/docs/tu...

Great. Will you consider adding an API for the JSON export as well?

Re: Show HN: Audino – Open-Source Audio and Speech Annotation Tool

#38
post #16

What are some example usages of this? I could not really tell right away looking at the docs. Why would I want to use this?

At our lab, we extensively work on problems that involve speech data. This includes tasks like speech recognition, speech scoring, emotion recognition, topic detection and speaker diarisation. Some of these tasks have public data available, while tasks like speech scoring and low-resource speech recognition, the data is fairly limited for supervised learning. Hence, we developed this annotation tool to generate corpu…

So this tool is mostly a way to store your dataset?

Eg. doing things like force alignment should be done in other tools and use the api to put in the dataset?

Re: Show HN: Audino – Open-Source Audio and Speech Annotation Tool

#40
post #27

Earlier quoted context omitted.

In case still not clear, it does not do the transcription, it does not. Oh Hi Mark. It asks you to manually annotate it (in case you want to prepare a training data set for your algorithm), its not an AI algorithm.

This is the most helpful comment here. I still don’t understand what the tool is for though. Up until now I assumed it would allow me to get automatic transcriptions, including breaking them down by speaker.

I was looking into that space recently and I have used otter.ai for transcriptions which gives you 6000 minutes/month for 8 USD, which is insanely cheap in that space. Their British language model is quite good as well.

I’ve bulk exported generated srt/vtt files from my fav podcasts and using tinysearch that was posted here recently with ableplayer to provide audio full text search of my Jekyll published podcasts posts and with clickable timestamps to audio play of search phrases.

Whenever I want to know what podcaster has to say on specific subject a quick search makes such a difference!

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