Whisper
peerjs
Whisper | peerjs | |
---|---|---|
32 | 22 | |
7,182 | 11,969 | |
- | 1.1% | |
6.5 | 9.0 | |
7 months ago | 7 days ago | |
C++ | TypeScript | |
Mozilla Public License 2.0 | MIT 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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Nvidia Speech and Translation AI Models Set Records for Speed and Accuracy
I've been using WhisperDesktop ( https://github.com/Const-me/Whisper ) with great success on a 3090 for fast & accurate transcription of often poor quality euro-english hours long multispeaker audio files. If there's an easy way to compare I'm certainly going to give this a try.
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AMD's CDNA 3 Compute Architecture
Why would you want OpenCL? Pretty sure D3D11 compute shaders gonna be adequate for a Torch backend, and they even work on Linux with Wine: https://github.com/Const-me/Whisper/issues/42 Native Vulkan compute shaders would be even better.
Why would you want unified address space? At least in my experience, it’s often too slow to be useful. DMA transfers (CopyResource in D3D11, copy command queue in D3D12, transfer queue in VK) are implemented by dedicated hardware inside GPUs, and are way more efficient.
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Amazon Bedrock Is Now Generally Available
https://github.com/ggerganov/whisper.cpp
https://github.com/Const-me/Whisper
I had fun with both of these. They will both do realtime transcription. Bit you will have to download the training data sets…
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Why Nvidia Keeps Winning: The Rise of an AI Giant
Gamers don’t care about FP64 performance, and it seems nVidia is using that for market segmentation. The FP64 performance for RTX 4090 is 1.142 TFlops, for RTX 3090 Ti 0.524 TFlops. AMD doesn’t do that, FP64 performance is consistently better there, and have been this way for quite a few years. For example, the figure for 3090 Ti (a $2000 card from 2022) is similar to Radeon RX Vega 56, a $400 card from 2017 which can do 0.518 TFlops.
And another thing: nVidia forbids usage of GeForce cards in data centers, while AMD allows that. I don’t know how specifically they define datacenter, whether it’s enforceable, or whether it’s tested in courts of various jurisdictions. I just don’t want to find out answers to these questions at the legal expenses of my employer. I believe they would prefer to not cut corners like that.
I think nVidia only beats AMD due to the ecosystem: for GPGPU that’s CUDA (and especially the included first-party libraries like BLAS, FFT, DNN and others), also due to the support in popular libraries like TensorFlow. However, it’s not that hard to ignore the ecosystem, and instead write some compute shaders in HLSL. Here’s a non-trivial open-source project unrelated to CAE, where I managed to do just that with decent results: https://github.com/Const-me/Whisper That software even works on Linux, probably due to Valve’s work on DXVK 2.0 (a compatibility layer which implements D3D11 on top of Vulkan).
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Ask HN: What is your recommended speech to text/audio transcription tool?
Currently, I use a GUI for Whisper AI (https://github.com/Const-me/Whisper) to upload MP3s of interviews to get text transcripts. However, I'm hoping to find another tool that would recognize and split out the text per speaker.
Does such a thing exist?
- Da audio a testo, consigli?
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Ask HN: Any recommendations for cheap, high-quality transcription software
I just used Whisper over the weekend to transcribe 5 hours of meeting, worked nicely and it can be run on a single GPU locally. https://github.com/ggerganov/whisper.cpp
There are a few wrappers available with GUI like https://github.com/Const-me/Whisper
- Voice recognition software for German
- Const-me/Whisper: High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model
- I built a massive search engine to find video clips by spoken text
peerjs
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Help us prioritize features for our decentralized p2p chat app
this app is using peerjs to connect peers over a webrtc connection. check out thier docs for more info. with webrtc, things like file-transfer, should be very performant compared to cloud storage providers... especially over LAN. network speed doesnt seems to be an issue i have experienced.
- Blockchain as a Datastructure
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Some things I learned, retrofitting a browser-based RTS for network multiplayer.
I'm using the client-side PeerJS https://peerjs.com/ library for networking. As the name may imply, a direct connection is established between two peers using WebRTC via "handshake" through an intermediary server they host - and, they provide source for the server as well. I have found it to be quite reliable, thus far.
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A question about webrtc
You kind of sound like a beginner. The browser APIs are a bit painful to work with. It might be easier to use PeerJS: https://peerjs.com/
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Create a Keyword Generator Chrome Extension🔥
If you want you can use Preact. PreactJS is a lightweight alternative to ReactJS, designed for high performance and compatibility. is often used in applications where performance is critical and has a small footprint.
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Do you feel that programming has been easier to understand in game development versus other types of programming because of your experience with actual videogames?
This opens up a lot of neat possibilities, and fortunately I found a very easy JavaScript library for handling multiplayer called PeerJS. The way you can send packets from player to player is very simple and something even a beginner to JavaScript could understand.
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Ask HN: Those making $0/month or less on side projects – Show and tell
You might be able to eliminate the VPS by making it P2P using something like PeerJS [1]. PeerJS provides a free shared connection broker server.
[1]: https://peerjs.com/
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New to WebRTC and Node.js, Need Help Getting Started
Note: peerjs is a good starting point!
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We just release our first version of TOONKS, a 3D Multiplayer Game where you can play a tiny tank against your friends directly on your browser without any installation.
We use peer.js module to create a WebRTC connection between clients
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CRDTs and Distributed Consistency - Part 3: Building a distributed counter
Now that we have all the required boilerplate we can start building the actual game. For the communications between peers we are going to use PeerJS a peer-to-peer library built on top of WebRTC.
What are some alternatives?
whisper.cpp - Port of OpenAI's Whisper model in C/C++
simple-peer - 📡 Simple WebRTC video, voice, and data channels
whisper - Robust Speech Recognition via Large-Scale Weak Supervision
Socket.io - Realtime application framework (Node.JS server)
TransformerEngine - A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.
mediasoup - Cutting Edge WebRTC Video Conferencing
just-an-email - App to share files & texts between your devices without installing anything
Pion WebRTC - Pure Go implementation of the WebRTC API
ggml - Tensor library for machine learning
coturn - coturn TURN server project
beaker - An experimental peer-to-peer Web browser
simple-peer-files - A library to send files over WebRTC