311–320 of 508 posts
Earlier quoted context omitted.
What? I never said it's evidence that it did happen, please don't make things up. I just pointed out the evidence provided to refute the claim is possibly invalid.
You haven't offered any evidence is the point.
Neat, https://github.com/openai/whisper - they have open-sourced it, even the model weights, so they are living up to their name in this instance. The 4 examples are stunningly good (the examples have speakers with heavy accents, speaking in foreign language, speaking with dynamic background noise, etc.), this is far and away better than anything else I've seen. Will be super curious to see other folks trying it out…
It seems like OpenAI are finally living up to their name for once with this release? Anything I'm missing? From what I can gather: 1. Includes model weights. I can't find the URL, but they reference them enough and have a CLI tool, so I presume I just haven't found them yet. 2. Includes code: https://github.com/openai/whisper 3. Released under MIT License: https://github.com/openai/whisper/blob/main/LICENSE
It's one model and in a non-strategic area where there are existing open source projects (Kaldi, DeepSpeech, ...). For a company that raised $1B, that's not exactly living up to their name and original mission.
I feel bad about GPT-3 and DALL-E being released under the terms they were, but I don't feel bad about this. I'm not going to condemn OpenAI for the good things they did, but I will hold them accountable for bad things or good ones they didn't do.
I'd given up on OpenAI being open or ethical, but this is a start. It took them down from "evil super-villain" status to mere villain.
Japanese results looks pretty impressive! Took マッコウクジラ14頭が海岸に打ち上げられる オーストラリア(2022年9月21日) https://www.youtube.com/watch?v=bZkNIzeRBk4 Extracted audio with youtube-dl -f bestaudio https://www.youtube.com/watch\?v\=bZkNIzeRBk4 Converted into [00:00.000 --> 00:13.000] オーストラリア南部の島で、真っ向くじら14棟が海岸に打ち上げられて死んでいるのが見つかり、専門家が調査のため原地入りしました。 [00:13.000 --> 00:25.000] 原地メディアによりますと、オーストラリア南部のキング棟で、19日、少なくとも14棟の真っ向くじらが海岸に打ち上げられて死んでいるの…
Shocked at how good the results are, and how easy of an installation it is. Here are the exact steps to follow to get it running on Ubuntu 22.04 via WSL and yt-dlp: 1. pip install git+https://github.com/openai/whisper.git 2. yt-dlp -f 'ba' -x --audio-format mp3 https://www.youtube.com/watch/?v\=bZkNIzeRBk4 3. renamed the file to test.mp3 4. whisper test.mp3 --language Japanese --task translate --model large Note: the…
Amazing work.
Can this be used as a real-time transcription or is it too slow for that? Curious what anyone is using these days for a real-time transcription. It doesn't have to be perfect, but just good enough. My kids watch some youtube vidoes where people will make a mod where it converts them talking to text then look for keywords and spawn a boss in Terraria if you say the wrong keyword etc. I made a clone of that with the .N…
It's doing seconds of translation per minute for me at least.
That example at the top of the page (speed talking) blew me away. He started talking, I was stunned for a minute, then realised yes, it really was English, and I just burst out laughing. That's so, so far beyond the previous state-of-the-art, it's absurd.
As for speed, to a computer we don't talk very fast, not even that guy.
I wonder if it could handle Rap God by Eminem....Let's find out!
Earlier quoted context omitted.
That might work if people were required to speak grammatically.
For real. The way people normally speak, with backtracking, repetition, restarting sentences, or stopping mid sentence and starting a new one with entirely different nouns or entire subjects is perfectly normal in synchronous conversation and isn't jarring, but written down as is, it's like 40% noise.
