DeepFilterNet VS whisper

You mean remove background noise and transcribe? Then you can use DeepFilterNet to remove noise, and Whisper to transcribe.

Rikorose/DeepFilterNet: A Low Complexity Speech Enhancement Framework for Full-Band Audio (48kHz) using on Deep Filtering

It looks like the library in Rust is using `tract-onnx` to do the inference: https://github.com/Rikorose/DeepFilterNet/blob/2a84d2a1750a5... I am wondering whether using Python for research, training in big data center, and Rust at edge for efficient inference would be a trend in the future. We do have a larger community of C++ right now for inference (e.g. ggml). But Rust crate as component to build applications of AI is joy to use.

Repo: https://github.com/Rikorose/DeepFilterNet

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.

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.

I found a pretty good discussion in the topic here:

https://github.com/openai/whisper/discussions/1243

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.

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.

Ahh, that makes sense. I've been building something like that, but only from other languages into English using Whisper

Whisper already generates subtitles[0], supporting VTT and SRT so this is just a thin wrapper around that.

[0]: https://github.com/openai/whisper/blob/e58f28804528831904c3b...

> although it does require you to wear headphones so the bot doesn't hear itself and get interrupted.

Maybe you can rely on some sort of speaker identification to sort this out?

https://github.com/openai/whisper/discussions/264