mycroft-core
DeepSpeech
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mycroft-core | DeepSpeech | |
---|---|---|
212 | 67 | |
6,431 | 24,086 | |
0.2% | 1.4% | |
0.0 | 0.0 | |
7 months ago | about 1 month ago | |
Python | C++ | |
Apache License 2.0 | Mozilla Public 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.
mycroft-core
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Rabbit R1, Designed by Teenage Engineering
It's indeed suspicious. You're sending your voice samples, your various services accounts, your location and more private data to some proprietary black box in some public cloud. Sorry, but this is a privacy nightmare. It should be open source and self-hosted like Mycroft (https://mycroft.ai) or Leon (https://getleon.ai) to be trustworthy.
- Ask HN: Is there any open source/open hardware Echo Dot alike?
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Coral TPU Dev Board for speech-to-text and nvidia agx as host running LLaMA??
But I would recommend writing some proper glue logic in Python and use the socket function for communication. But if you really want to get rid of Alexa, it's probably worth it to set up mycroft.ai or another open source assistant.
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Matter hasn't revolutionized the smart home yet, but AI may be about to change that - the TechRadar article claims most people don't have smart homes, just connected homes.
https://mycroft.ai/ is a sophisticated open source replacement for Siri/Alexa … you can buy their premade hardware version for $399
- Using LLaMA as a "real personal assistant"?
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Show HN: Willow – Open-Source Privacy-Focused Voice Assistant Hardware
This project reminds me of MyCroft https://github.com/MycroftAI/mycroft-core.
- Google Assistant might be doomed: Division “reorganizes” to focus on Bard
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Selfhosted AI
I haven't looked at it recently, but the Mycroft AI virtual assistant project is based on FOSS, self-contained software. I used to have it running on a spare laptop at home. It might be suitable for self-hosted AI experimentation.
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Sundar Pichai: An important next step on our AI journey
The AI I'm interested in is of this sort https://mycroft.ai/ i.e. where I run and control it locally.
I don't want to go on any more "journeys" with Google. The last one start with me rooting for and trusting them (circa IPO.. 2004?) and ended with a dystopian nightmare spy apparatus and abuses like AMP.
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is mycroft for Linux available for arm processors?
But OG Mycroft can also be installed: https://github.com/MycroftAI/mycroft-core
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!
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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.
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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
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Browserule
Unfortunately, only Chrome supports the technology required to provide this feature (for now). Firefox is working to include it in the browser, but it is a complex feature that requires a lot of development. Mozilla (the company who developed Firefox) actually have a tool called DeepSpeech to use speech-to-text dictation without using the Internet. I don't know if it will help you, but I've done what I could :'(
- speech-to-text on Linux?
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Show HN: State-of-the-Art German Speech Recognition in 284 lines of C++
I wrote "284 lines of C++" to indicate that this is compact enough for people to actually read and understand the source code. Also, compiling my implementation is super easy and straightforward ... something which can't be said for Kaldi, Vosk, or DeepSpeech.
If you try to read the CTC beam search decoder from Mozilla's DeepSpeech [1], that alone is about 2000 LOC in multiple files.
If you try to read the pyctcdecode source that is used by HuggingFace [2], that's 1000+ LOC of Python.
But this implementation is all the client-side, i.e. the entire "native_client" folder hierarchy in DeepSpeech [3], narrowed down to a mere 284 lines.
[1] https://github.com/mozilla/DeepSpeech/tree/master/native_cli...
[2] https://github.com/kensho-technologies/pyctcdecode
[3] https://github.com/mozilla/DeepSpeech/tree/master/native_cli...
What are some alternatives?
rhasspy - Offline private voice assistant for many human languages
Kaldi Speech Recognition Toolkit - kaldi-asr/kaldi is the official location of the Kaldi project.
Leon - 🧠 Leon is your open-source personal assistant.
NeMo - NeMo: a framework for generative AI
picovoice - On-device voice assistant platform powered by deep learning
STT - 🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
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.
kalliope - Kalliope is a framework that will help you to create your own personal assistant.
dicio-android - Dicio assistant app for Android
rhasspy-mobile-app - A simple mobile app for rhasspy.
jasper-client - Client code for Jasper voice computing platform