DeepSpeech
mycroft-core
DeepSpeech | mycroft-core | |
---|---|---|
68 | 212 | |
24,324 | 6,456 | |
1.0% | 0.3% | |
0.0 | 0.0 | |
3 months ago | 14 days ago | |
C++ | Python | |
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
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ESpeak-ng: speech synthesizer with more than one hundred languages and accents
As I understand it DeepSpeech is no longer actively maintained by Mozilla: https://github.com/mozilla/DeepSpeech/issues/3693
For Text To Speech, I've found Piper TTS useful (for situations where "quality"=="realistic"/"natual"): https://github.com/rhasspy/piper
For Speech to Text (which AIUI DeepSpeech provided), I've had some success with Vosk: https://github.com/alphacep/vosk-api
- 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.
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.
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Finally! Kernel 6.6.6 has been released
Shouldn't this be Mycroft on this sub?
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Mycroft
I was expecting this to be about Mycroft the AI assistant ( https://mycroft.ai/ ).
- 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
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Local AI -- A semi-reliable copy of human knowledge that can live in a box in your kitchen
To add home automation, consider something like Mycroft (https://mycroft.ai/)
- 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.
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Is Voice AI safe?
Tldr either way it depends, but if it's free, your data is prob the real product. If you don't want to get data mined, check out https://mycroft.ai
What are some alternatives?
Kaldi Speech Recognition Toolkit - kaldi-asr/kaldi is the official location of the Kaldi project.
rhasspy - Offline private voice assistant for many human languages
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)
Leon - 🧠 Leon is your open-source personal assistant.
picovoice - On-device voice assistant platform powered by deep learning
kalliope - Kalliope is a framework that will help you to create your own personal assistant.
STT - 🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
jasper-client - Client code for Jasper voice computing platform
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
jarvis - Jarvis is a simple IA for home automation with (multi-languages) voice commands written in Python.
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.
J.A.R.V.I.S-project - A decent attempt to recreate J.A.R.V.I.S. from MCU's Iron Man, complete with machine learning (specifically, intent classification) [Moved to: https://github.com/Joe-Lyu/J.A.R.V.I.S-project]