faster-whisper
languagetool
faster-whisper | languagetool | |
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23 | 310 | |
8,899 | 11,594 | |
9.1% | 0.7% | |
8.1 | 10.0 | |
8 days ago | about 7 hours ago | |
Python | Java | |
MIT License | GNU Lesser General Public License v3.0 only |
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faster-whisper
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Creando Subtítulos Automáticos para Vídeos con Python, Faster-Whisper, FFmpeg, Streamlit, Pillow
Faster-whisper (https://github.com/SYSTRAN/faster-whisper)
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Using Groq to Build a Real-Time Language Translation App
For our real-time STT needs, we'll employ a fantastic library called faster-whisper.
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Apple Explores Home Robotics as Potential 'Next Big Thing'
Thermostats: https://www.sinopetech.com/en/products/thermostat/
I haven't tried running a local text-to-speech engine backed by an LLM to control Home Assistant. Maybe someone is working on this already?
TTS: https://github.com/SYSTRAN/faster-whisper
LLM: https://github.com/Mozilla-Ocho/llamafile/releases
LLM: https://huggingface.co/TheBloke/Nous-Hermes-2-Mixtral-8x7B-D...
It would take some tweaking to get the voice commands working correctly.
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Whisper: Nvidia RTX 4090 vs. M1 Pro with MLX
Could someone elaborate how is this accomplished and is there any quality disparity compared to original whisper?
Repos like https://github.com/SYSTRAN/faster-whisper makes immediate sense about why it's faster than the original, but this one, not so much, especially considering it's even much faster.
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Now I Can Just Print That Video
Cool! I had the same project idea recently. You may be interested in this for the step of speech2text: https://github.com/SYSTRAN/faster-whisper
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Distil-Whisper: distilled version of Whisper that is 6 times faster, 49% smaller
That's the implication. If the distil models are same format as original openai models then the Distil models can be converted for faster-whisper use as per the conversion instructions on https://github.com/guillaumekln/faster-whisper/
So then we'll see whether we get the 6x model speedup on top of the stated 4x faster-whisper code speedup.
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AMD May Get Across the CUDA Moat
> While I agree that it's much more effort to get things working on AMD cards than it is with Nvidia, I was a bit surprised to see this comment mention Whisper being an example of "5-10x as performant".
It easily is. See the benchmarks[0] from faster-whisper which uses Ctranslate2. That's 5x faster than OpenAI reference code on a Tesla V100. Needless to say something like a 4080 easily multiplies that.
> https://www.tomshardware.com/news/whisper-audio-transcriptio... is a good example of Nvidia having no excuses being double the price when it comes to Whisper inference, with 7900XTX being directly comparable with 4080, albeit with higher power draw. To be fair it's not using ROCm but Direct3D 11, but for performance/price arguments sake that detail is not relevant.
With all due respect to the author of the article this is "my first entry into ML" territory. They talk about a 5-10 second delay, my project can do sub 1 second times[1] even with ancient GPUs thanks to Ctranslate2. I don't have an RTX 4080 but if you look at the performance stats for the closest thing (RTX 4090) the performance numbers are positively bonkers - completely untouchable for anything ROCm based. Same goes for the other projects I linked, lmdeploy does over 100 tokens/s in a single session with LLama2 13b on my RTX 4090 and almost 600 tokens/s across eight simultaneous sessions.
> EDIT: Also using CTranslate2 as an example is not great as it's actually a good showcase why ROCm is so far behind CUDA: It's all about adapting the tech and getting the popular libraries to support it. Things usually get implemented in CUDA first and then would need additional effort to add ROCm support that projects with low amount of (possibly hobbyist) maintainers might not have available. There's even an issue in CTranslate2 where they clearly state no-one is working to get ROCm supported in the library. ( https://github.com/OpenNMT/CTranslate2/issues/1072#issuecomm... )
I don't understand what you're saying here. It (along with the other projects I linked) are fantastic examples of just how far behind the ROCm ecosystem is. ROCm isn't even on the radar for most of them as your linked issue highlights.
Things always get implemented in CUDA first (ten years in this space and I've never seen ROCm first) and ROCm users either wait months (minimum) for sub-par performance or never get it at all.
[0] - https://github.com/guillaumekln/faster-whisper#benchmark
[1] - https://heywillow.io/components/willow-inference-server/#ben...
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Open Source Libraries
guillaumekln/faster-whisper
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Whisper Turbo: transcribe 20x faster than realtime using Rust and WebGPU
Neat to see a new implementation, although I'll note that for those looking for a drop-in replacement for the whisper library, I believe that both faster-whisper https://github.com/guillaumekln/faster-whisper and https://github.com/m-bain/whisperX are easier (PyTorch-based, doesn't require a web browser), and a lot faster (WhisperX is up to 70X realtime).
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Whisper.api: An open source, self-hosted speech-to-text with fast transcription
One caveat here is that whisper.cpp does not offer any CUDA support at all, acceleration is only available for Apple Silicon.
If you have Nvidia hardware the ctranslate2 based faster-whisper is very very fast: https://github.com/guillaumekln/faster-whisper
languagetool
- Ask HN: Grammarly Alternatives?
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Show HN: Heynote – A Dedicated Scratchpad for Developers
Great tool, thanks for sharing. If you are open to suggestions, I would love to have spellcheck in it.
https://github.com/languagetool-org/languagetool
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Is there global autocorrect for linux?
I don't know of a "global" function, but what you use depends largely on where you're doing your writing. It's possible to spellcheck markdown and html files from a terminal with aspell and to find the correct spelling of partial words with look. Some apps, like Grammarcheck can offer you close to global spellcheck. Apps like LanguageTool offer browser addons to check grammar and spelling.
- Compartilhando seu conhecimento com o mundo! Como escrever artigos
- Grammarly editor writing service are malfunctioning
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Recent ECE Masters grad looking to change careers from IT to RF engineering
Proofread for spelling, grammar, and punctuation errors (Grammarly, Hemingway Editor, LanguageTool),
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Hey guys! I have my first draft here as a first-year computer engineering student. I'm preparing for an internship fair and I'd like to have something decent. Roast me!!
Please re-read the wiki thoroughly, line-by-line, format your resume to the wiki guidelines, verify that each of your bullet points begin with a strong action verb and follow the STAR (Situation, Task, Action, and Result) or XYZ (Accomplished D as Measured by Y, by Doing Z) methods, proofread, revise, and repost your resume.
- Top 3 Free Grammar Checkers for Flawless Writing
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Your privacy is optional
LanguageTool - I liked using Grammarly to check my writing, but it is not great for privacy considering it sends off everything you write to Grammarly servers. LanguageTool is a great open source alternative that you can run locally.
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Show HN: Firefox addon to quarantine a tab to use offline with private data
On extensions, for example, I use LanguageTool [1], which is similar to Grammarly. It could be configured with a local server, although I have a “premium” account which sends data to a 3rd party server. I trust this extension to verify my messages on HN, but I can't trust it to have access to my banking account. This is an example of a really useful extension that I'll never be able to fully trust because it has access to all websites, and it sends all that I write to another server.
In fairness, Firefox's advantage has been that Mozilla has a trustworthy manual review process for the “recommended” extensions.
[1] https://languagetool.org/
What are some alternatives?
whisper.cpp - Port of OpenAI's Whisper model in C/C++
awesome-selfhosted - A list of Free Software network services and web applications which can be hosted on your own servers
whisperX - WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
Emacs-langtool - LanguageTool for Emacs
stable-ts - Transcription, forced alignment, and audio indexing with OpenAI's Whisper
docker-languagetool - Dockerfile for LanguageTool
whisper-diarization - Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
docker-languagetool - Dockerfile for LanguageTool server - configurable
ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]
neovim - Vim-fork focused on extensibility and usability
whisper-realtime - Whisper runs in realtime on a laptop GPU (8GB)
ltex-ls - LTeX Language Server: LSP language server for LanguageTool :mag::heavy_check_mark: with support for LaTeX :mortar_board:, Markdown :pencil:, and others