Whisper
fusesoc
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Whisper | fusesoc | |
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32 | 12 | |
7,182 | 1,118 | |
- | - | |
6.5 | 7.3 | |
7 months ago | 19 days ago | |
C++ | Python | |
Mozilla Public License 2.0 | 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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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
fusesoc
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fusesoc VS vextproj - a user suggested alternative
2 projects | 28 Mar 2024
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Introduction to FPGAs
Check out https://github.com/olofk/fusesoc. It gives you a command line build flow that can drive Vivado (along with many other eda tools via edalize https://github.com/olofk/edalize) without having to touch the GUI (though you might want it for programming the board, though FuseSoC can do that too).
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CI/CD for FPGA builds
Check out FuseSoC: https://github.com/olofk/fusesoc it can run Vivado builds for you (as well as many other tools). It may be less work to get FuseSoC setup then work out a CLI Vivado batch flow from scratch.
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Besides misterFPGA what else can I play with on a DE10-nano?
Also, the FuseSOC and LiteX projects both support the DE10 nano, and can be used to roll your own custom SOCs with RISC-V or OpenRISC cores.
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Why isn't all verification work done in Python
Integration with the dependency and build tool I use (FuseSoc) is clumsy.
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Using Python with Vivado Projects
The "fusesoc" project may be of interest to you.
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Any recommendations for an RTL "standard library"?
FuseSoC is an RTL package manager. It will automatically download the latest versions of required components when you build. It also comes with a bunch of great options for components here:
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What should a modern IP library look like?
Have to correct this slightly: I just heard of my first HDL package manager in this thread. FuseSOC: https://github.com/olofk/fusesoc - Thanks u/gac_cag!
- Olof Kindgren on LinkedIn: We have a new world record! 6000 RISC-V cores in a single chip!
- Industry development process?
What are some alternatives?
whisper.cpp - Port of OpenAI's Whisper model in C/C++
litex - Build your hardware, easily!
whisper - Robust Speech Recognition via Large-Scale Weak Supervision
edalize - An abstraction library for interfacing EDA tools
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.
opentitan - OpenTitan: Open source silicon root of trust
just-an-email - App to share files & texts between your devices without installing anything
cocotb - cocotb, a coroutine based cosimulation library for writing VHDL and Verilog testbenches in Python
ggml - Tensor library for machine learning
teroshdl-documenter-demo - This is an example of how TerosHDL can generate your documentation project from the command line. So you can integrate it in your CI workflow.
beaker - An experimental peer-to-peer Web browser
rocket-chip - Rocket Chip Generator