Whisper VS ossdatabase

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.

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.

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…

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).

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?

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

looks like they typo'd, it's https://ossdatabase.com

- https://ossdatabase.com : Open source alternatives for popular software, this project itself is Open Source. (https://github.com/prithvi16/ossdatabase) and extensively uses Hotwire.

I have built and launched multiple products from ideation and design to building and marketing them. I have also worked in large and small teams. I like to take ownership of my work end to end and figure things out on my own.

https://ossdatabase.com - is a crowdsourced Open Source software database. Our goal is to make finding open source alternatives and comparing them to proprietary solutions as simple as possible.

I have also built something similar at

https://ossdatabase.com

Recently released code under AGPL-3.

But I want to go beyond aggregation and add following things

I will add your project to https://ossdatabase.com

Sure. Some links I just bookmarked and will use:

https://highbrow.se/ (Alternative search engine)

https://cora-pic.com/en (Meme generator)

https://www.mightyapp.com/ (New upcoming cloud browser)

https://ossdatabase.com/ (Database of OSS)

Hi! I am the creator of this tool. I saw people collecting Open Source alternatives on Github. Which is awesome btw, but I thought there was a better way to do this. I wanted to build a nice and clean UI and nice filters to filter projects by tech, platform, use case, and license. Following things are planned - User reviews for projects, will be screened for spam.- User-based submissions, and edits for projects. More transparency in moderation.- Karma for users based on edits. - Once I gain enough traction I plan to release the source code under MIT and the collected data in CSV files for everyone to download. - A job board for companies using Open Source tools for monetization. Alternative.to is a good tool, but it doesn't hurt to have alternatives ;). Thanks, u/zicxor for cross-posting here! source code: https://github.com/prithvi16/ossdatabase