whisper
HomeBrew
whisper | HomeBrew | |
---|---|---|
346 | 1,292 | |
63,023 | 39,910 | |
4.3% | 1.3% | |
6.0 | 10.0 | |
4 days ago | 3 days ago | |
Python | Ruby | |
MIT License | BSD 2-clause "Simplified" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
whisper
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Making My Own Karaoke Videos with AI
Now that we have a clean vocal track we can create a subtitle file (.srt) by using Whisper, OpenAI's audio transcription tool. There are a number of Whisper related projects that add useful functionality, speed up transcription or offer additional features.
- Microsoft announces Copilot+ PCs with built-in AI hardware
- Creando SubtĂtulos Automáticos para VĂdeos con Python, Faster-Whisper, FFmpeg, Streamlit, Pillow
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Why I Care Deeply About Web Accessibility And You Should Too
Let’s not talk about local models as the hardware requirements are way beyond most of these people’s reach. I have a MacBook Air with an M2 chip and 8GB of RAM and can hardly run Whisper locally, so I use this HuggingFace space.
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How I built NotesGPT – a full-stack AI voice note app
Last week, I launched notesGPT, a free and open source voice note app that has 35,000 visitors, 7,000 users, and over 1,000 GitHub stars so far in the last week. It allows you to record a voice note, transcribes it uses Whisper, and uses Mixtral via Together to extract action items and display them in an action items view. It’s also fully open source and comes equipped with authentication, storage, vector search, action items, and is fully responsive on mobile for ease of use.
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Ask HN: Can AI break a speech audio into individual words?
I found a pretty good discussion in the topic here:
https://github.com/openai/whisper/discussions/1243
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WhisperSpeech – An Open Source text-to-speech system built by inverting Whisper
There is a plot of language performance on their repo: https://github.com/openai/whisper
I am not aware of a multi-lingual leaderboard for speech recognition models.
- Ask HN: AI that allows you to make phone calls in a language you don't speak?
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Ask HN: Favorite Podcast Episodes of 2023?
I don't know how OP does it, but here's how I'd do it:
* Generate a transcript by runing Whisper against the podcast audio file: https://github.com/openai/whisper
* Upload transcript to ChatGPT and ask it to summarize.
* Automate all the above.
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Need advice
Ahh, that makes sense. I've been building something like that, but only from other languages into English using Whisper
HomeBrew
- Ask HN: What macOS apps/programs do you use daily and recommend?
- Microsoft blocks Windows 11 workaround that enabled local accounts
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Local Reverse Proxy
I'm using Homebrew, so the installation is straightforward:
- How to setup Mac for development in 2024. (Ruby on Rails and NodeJS)
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New MacBook Setup
You should be able to automate installing programs with homebrew.[0]
[0]: https://brew.sh/
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Git 101 for Beginners: Learn Git Commands, Branching, and Collaboration
You can install homebrew if you already don't have it, then :
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Firebase Functions Express Typescript Project Guide Part 1
Homebrew is a package manager for macOS. It simplifies the installation of software on macOS.
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Ditch Your Boring Terminal and Make it More Useful
If you are using a mac, you are most probably already familiar with homebrew. It helps with installing software on macOS.
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Essential Tools & Technologies for New Developers
Before we start installing anything, if you are a Mac user, you need to install homebrew, a package manager for Mac that will help you install software quickly and easily from this article.
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How to set up a new project using Yarn
First, we are going to need Node.js. I use nodenv to manage multiple Node.js installations on my machine. The easiest way to install it on a Mac is to use Homebrew (check their Installation documentation if you’re on a different platform):
What are some alternatives?
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
spack - A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
silero-vad - Silero VAD: pre-trained enterprise-grade Voice Activity Detector
asdf - Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more
buzz - Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
Visual Studio Code - Visual Studio Code
NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
winget-cli - WinGet is the Windows Package Manager. This project includes a CLI (Command Line Interface), PowerShell modules, and a COM (Component Object Model) API (Application Programming Interface).
whisper.cpp - Port of OpenAI's Whisper model in C/C++
osxfuse - FUSE extends macOS by adding support for user space file systems
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
Chocolatey - Chocolatey - the package manager for Windows