DeepSpeech
homebridge
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DeepSpeech | homebridge | |
---|---|---|
67 | 551 | |
24,212 | 23,308 | |
1.2% | 0.8% | |
0.0 | 4.5 | |
2 months ago | 9 days ago | |
C++ | TypeScript | |
Mozilla Public License 2.0 | Apache License 2.0 |
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.
DeepSpeech
- Common Voice
- Ask HN: Speech to text models, are they usable yet?
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Looking to recreate a cool AI assistant project with free tools
- [DeepSpeech](https://github.com/mozilla/DeepSpeech) rather than Whisper for offline speech-to-text
I came across a very interesting [project]( (4) Mckay Wrigley on Twitter: "My goal is to (hopefully!) add my house to the dataset over time so that I have an indoor assistant with knowledge of my surroundings. It’s basically just a slow process of building a good enough dataset. I hacked this together for 2 reasons: 1) It was fun, and I wanted to…" / X ) made by Mckay Wrigley and I was wondering what's the easiest way to implement it using free, open-source software. Here's what he used originally, followed by some open source candidates I'm considering but would love feedback and advice before starting: Original Tools: - YoloV8 does the heavy lifting with the object detection - OpenAI Whisper handles voice - GPT-4 handles the “AI” - Google Custom Search Engine handles web browsing - MacOS/iOS handles streaming the video from my iPhone to my Mac - Python for the rest Open Source Alternatives: - [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection - Replacing GPT-4 is still a challenge as I know there are some good open-source LLms like Llama 2, but I don't know how to apply this in the code perhaps in the form of api - [DeepSpeech](https://github.com/mozilla/DeepSpeech) rather than Whisper for offline speech-to-text - [Coqui TTS](https://github.com/coqui-ai/TTS) instead of Whisper for text-to-speech - Browser automation with [Selenium](https://www.selenium.dev/) instead of Google Custom Search - Stream video from phone via RTSP instead of iOS integration - Python for rest of code I'm new to working with tools like OpenCV, DeepSpeech, etc so would love any advice on the best way to replicate the original project in an open source way before I dive in. Are there any good guides or better resources out there? What are some pitfalls to avoid? Any help is much appreciated!
- Speech-to-Text in Real Time
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Linux Mint XFCE
algo assim? https://github.com/mozilla/DeepSpeech
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Are there any secure and free auto transcription software ?
If you're not afraid to get a little technical, you could take a look at mozilla/DeepSpeech (installation & usage docs here).
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Web Speech API is (still) broken on Linux circa 2023
There is a lot of TTS and SST development going on (https://github.com/mozilla/TTS; https://github.com/mozilla/DeepSpeech; https://github.com/common-voice/common-voice). That is the only way they work: Contributions from the wild.
- Deepspeech /common voice.
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Mozilla Launches Responsible AI Challenge
Mozilla did release DeepSpeech[0] and Firefox Translation[1] (the latter of which they included in Firefox, to offer client-side webpage translations.)
They definitely have fewer resources than OpenAI, and they do not produce SOTA research (their publications have plummeted to 1/year anyway[2]). So the only way for them to make progress is to seek government grants or make challenges like these.
This challenge is unlikely to be profitable for the winning team: the expected value of winnings are likely around $1K when taking into account the probability that another team gets a better rank, but ML research projects are often more expensive (recently, Alpaca spent upwards of $600 on computation alone; and of course pretraining large models is much more expensive). So the main gain will be publicity.
[0]: https://github.com/mozilla/deepspeech
homebridge
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Need Help with "Unable to find Homebridge Installation" Error on Hyper-V
I've been trying to set up Homebridge on Hyper-V using the guide provided here: https://github.com/homebridge/homebridge/wiki/Install-Homebridge-on-Windows-10-Using-Hyper-V
- PS5 Plugin, renaming device?
- homebridge on Synology NAS, doesnt work
- Installing homebridge on Raspberry Pi Desktop on a 2012 MacBook Air
- Synology native vs docker
- Pretty much everything stopped responding
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Is HomeBridge the right solution for me?
Search on the main page (https://homebridge.io/) for plugins that work with the devices you can't add directly to homekit. If you find what you need then you're probably good to go ahead with it, though not all the plugins are completely reliable. Sometimes there's more than one for a given device though.
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How do i import google home/amazon alexa devices to apple homekit?
Start here: https://homebridge.io/
- Apple Home function only works on home network
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Help: POST in, pick a line and POST it out.
I'm new to Node-Red and programming in general. I'm trying to pass humidity and temp reading from my Pimoroni Enviro Indoor to my HomeBridge setup. The Enviro Indoor will POST every 5 minutes a JSON that looks like this
What are some alternatives?
Kaldi Speech Recognition Toolkit - kaldi-asr/kaldi is the official location of the Kaldi project.
scrypted - Scrypted is a high performance home video integration and automation platform
NeMo - NeMo: a framework for generative AI
Home Assistant - :house_with_garden: Open source home automation that puts local control and privacy first.
picovoice - On-device voice assistant platform powered by deep learning
homebridge-eufy-security - Work in progress
STT - 🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
docker-homebridge - Homebridge Docker. HomeKit support for the impatient using Docker on x86_64, Raspberry Pi (armhf) and ARM64. Includes ffmpeg + libfdk-aac.
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
homebridge-myq - :car: myQ Liftmaster and Chamberlain Plugin for Homebridge https://github.com/nfarina/homebridge
PaddleSpeech - Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
shairport-sync - AirPlay and AirPlay 2 audio player