youtube-transcript-api
whisper
youtube-transcript-api | whisper | |
---|---|---|
4 | 344 | |
2,345 | 60,988 | |
- | 3.7% | |
5.3 | 6.4 | |
12 days ago | 4 days ago | |
Python | Python | |
MIT License | MIT License |
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youtube-transcript-api
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The one thing YouTube doesn't want you to think about: Articles from their videos. AT SCALE
no whisper involced. https://github.com/jdepoix/youtube-transcript-api
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I Built an AI Search Engine that can find exact timestamps for anything on Youtube using OpenAI Whisper
Get the transcript of a Youtube video using the URL from the youtube transcript api.
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Show HN: Factual AI Q&A – Answers based on Huberman Lab transcripts
> What are the parts of the brain that become de-synchronized in the ADHD brain?
>> The default mode network and the task networks become de-synchronized in the ADHD brain.
> What are the three parts of the brain that become de-synchronized in the ADHD brain?
>> The default mode network, the task networks, and the dopamine circuits.
From https://youtu.be/hFL6qRIJZ_Y?t=1714:
> An area called the dorsolateral prefrontal cortex ... the posterior cingulate cortex, and ... the lateral parietal lobe ... these are three brain areas that normally are synchronized in their activities ... that's how it is in a typical person. In a person with ADHD ... these brain areas are not playing well with each other.
I wonder if part of the problem might be the usage of text to speech. Did you consider scraping the transcriptions instead? e.g. with https://github.com/jdepoix/youtube-transcript-api
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Get webpage data with javascript
from what I can make out, it's using a python api behind the scenes but it's hard-coded to use english. The site you linked seems to be using the Youtube api, so maybe this is something you can do with your own youtube API key?
whisper
- Creando Subtítulos Automáticos para Vídeos con Python, Faster-Whisper, FFmpeg, Streamlit, Pillow
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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:
https://github.com/openai/whisper/discussions/1243
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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?
https://github.com/openai/whisper/discussions/264
What are some alternatives?
huberman
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Ytmaker - Makes compilation videos and upload them to Youtube
silero-vad - Silero VAD: pre-trained enterprise-grade Voice Activity Detector
srt - A simple library and set of tools for parsing, modifying, and composing SRT files.
buzz - Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
transcript_to_ebook - Transcript to ebook is a tool that will help you get transcript from your favorite Youtube video in various formats.
NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
simple-youtube-api - Object-oriented Wrapper for Youtube API in Python
whisper.cpp - Port of OpenAI's Whisper model in C/C++
sentence-transformers - Multilingual Sentence & Image Embeddings with BERT
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.