whisper
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| whisper | NotificationBanner | |
|---|---|---|
| 343 | - | |
| 59,916 | 4,722 | |
| 5.3% | - | |
| 6.8 | 1.7 | |
| 7 days ago | 8 days ago | |
| Python | Swift | |
| MIT License | 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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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:
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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
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Subtitle is now open-source
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...
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StyleTTS2 – open-source Eleven Labs quality Text To Speech
> 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?
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Federated Finetuning of OpenAI's Whisper on Raspberry Pi 5
v3 only comes in one flavor: large.
I don’t think you’re going to have a good time running the large model on a Pi of any kind.
The large models are 32x slower than the tiny models, roughly.[0]
I’m seeing people report that the Pi 4 can transcribe 30 seconds of audio in somewhere between 30 seconds and 60 seconds with the tiny model.
You can do the math… 32x = 16 minutes to 32 minutes to transcribe 30 seconds of audio with the large model. Not a good time for most people.
The Pi 5 could be 2x to 3x faster.
I should benchmark my Pi 4 sometime (or Pi 5, if it ever shows up).
[0]: https://github.com/openai/whisper/blob/main/README.md#availa...
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What are some alternatives?
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
SwiftMessages - A very flexible message bar for UIKit and SwiftUI.
silero-vad - Silero VAD: pre-trained enterprise-grade Voice Activity Detector
TTGSnackbar - TTGSnackbar shows simple message and action button on the bottom or top of the screen with multi kinds of animation, which is written in Swift3 and inspired by Snackbar in Android. It also support showing custom view, icon image or multi action button.
buzz - Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
Whisper - :mega: Whisper is a component that will make the task of display messages and in-app notifications simple. It has three different views inside
NeMo - NeMo: a framework for generative AI
FCAlertView - FCAlertView is a Flat Customizable AlertView for iOS (Swift)
whisper.cpp - Port of OpenAI's Whisper model in C/C++
SCLAlertView - Beautiful animated Alert View. Written in Swift
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
Jelly - 🌊 - Jelly is a library for animated, non-interactive & interactive viewcontroller transitions and presentations with the focus on a simple and yet flexible API.