alexa-papio-lunch-menu
whisper
| alexa-papio-lunch-menu | whisper | |
|---|---|---|
| 2 | 344 | |
| 4 | 60,617 | |
| - | 3.1% | |
| 3.5 | 6.4 | |
| 8 months ago | 8 days ago | |
| JavaScript | Python | |
| 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.
alexa-papio-lunch-menu
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Amazon Alexa is a “colossal failure,” on pace to lose $10B this year
Echo makes for a simple family “phone” for kids before they’re old enough for their own mobile.
I also created a free skill for kids to hear the daily school lunch menu. Such a morning time saver! https://github.com/jeffsheets/alexa-papio-lunch-menu
But yeah it’s still mostly a hardware solution looking for a problem
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Parents built a school app. Then the city called the cops
On a much smaller scale, a bad school app experience is the main reason why I built an Alexa app for anyone in our district to easily ask Alexa for the lunch menu daily https://github.com/jeffsheets/alexa-papio-lunch-menu/
Pretty common for school district apps to feel antiquated and hard to use. Definitely a disruptible space.
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?
homebridge-alexa - Expose your homebridge controlled devices to Amazon Alexa.
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
silero-vad - Silero VAD: pre-trained enterprise-grade Voice Activity Detector
buzz - Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
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)
whisper.cpp - Port of OpenAI's Whisper model in C/C++
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
whisperX - WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
TensorRT - NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
openai-whisper-realtime - A quick experiment to achieve almost realtime transcription using Whisper.
stable-diffusion - A latent text-to-image diffusion model