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Transcribe.cpp

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Article URL: https://workshop.cjpais.com/projects/transcribe-cpp

Comments URL: https://news.ycombinator.com/item?id=48963879

Points: 581

# Comments: 123

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581 points · 123 comments · 查看原帖

  1. rmunn

    Looks very cool. One thing I have been looking for, which this doesn't seem to cover (at least I didn't see any mention of IPA in the model documentation), is a way to transcribe unknown languages phonetically, using the International Phonetic Alphabet to spell them (sound-based spelling rather than meaning-based spelling). I know several linguists doing research on minority languages (fewer than 10,000 speakers in some cases), which are small enough that they will never have enough effort made towards training language-specific models in that language. Are there models I'm not aware of that are trained for this task? Taking audio in an unknown language, and rather than identifying the language, just transcribing the sounds to IPA? That would not be useful to most people, but it would be a Godsend to many, many linguists working with minority languages around the world.

  2. ghm2199

    Congrats on shipping this. I love handy on my Mac, my phone for STT in situations where it’s not possible/poor performance of the native Model for STT(e.g apple’s thing is not upto scruff, like mistranslating words corresponding to a domain). Noob question: How do you think about funding from a foundation(i have no clue if you need it or not, I do hope you have a way to get paid one way or another because handy is amazing) for maintenance of this? if you did or were going to get paid by asking for maintaining such a project what might be the kind of organizations you would look for to get supported and how would you do it?

  3. abdullahkhalids

    For anyone looking to build on top of this. I have tried a few different STT systems, and they accurately capture what I am saying. Unfortunately, they don't support the reasonable workflow I want to open an office document, for example, and start talking. And I want the software to continuously type what I am saying at the cursor with minimal latency. The continuous part is crucial. Many software will paste whatever I said after I have stopped recording, but that is not useful.

  4. solarkraft

    Oh, I like this! I’ve been looking into locally hosting a transcription API server and came away feeling pretty close to the problem statement. The things most frequently lacking were streaming support (which I’m so glad this has!) and the support for special words to boost during recognition (which I guess there’s some hope they might add???).

  5. simonw

    > Maintainer supported bindings in 4 Languages Nice. Here's the Python one: https://github.com/handy-computer/transcribe.cpp/tree/main/b... - looks like it's not yet available as a binary wheel on PyPI with the dependency included (the library on PyPI right now uses ctypes to call a separately installed library) but that's planned for a future release.

  6. kmfrk

    Well this almost seems to be to good to be true. :) I assume this is going to make maintaining SubtitleEdit a lot easier from now on, too: https://github.com/SubtitleEdit/subtitleedit/ . Anyone know a good Windows app that's just a window that transcribes - and translates - whatever goes through your output device, and not the microphone like most apps do?

  7. aomix

    What good timing to spot this. I've been reading more and more people talk about bringing TTS into their prompting toolkit and wanted to give that a try. The idea of rambling brain dump into a doc -> edit pass -> send to the robot loop sounds appealing.

  8. bengotow

    This is an incredible contribution to the community and it's just... one guy? I kept reading expecting a Series A funding announcement at the bottom. It's a nice reminder: You can use AI to slop cannon at maximum speed, or you can use it to scale your ambitions and build something more rigorous and lasting than ever before. I'd build Transcribe.cpp into the apps I maintain, but I feel like this functionality should (generally) be integrated into the OS or "everywhere" via an app like Handy.