Athena
DeepSpeech
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Athena | DeepSpeech | |
---|---|---|
8 | 67 | |
97 | 24,212 | |
- | 1.2% | |
6.4 | 0.0 | |
almost 2 years ago | 2 months ago | |
Kotlin | C++ | |
- | 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.
Athena
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A voice transcription and script launching app, written leveraging Termux
This setup can be used to create a 'push button' assistant (which is in fact what I am in the process of setting it up for) where you quickly record your command, and once finished it runs through the whole processing pipeline. I will be releasing more python/java scripts to do just this, and eventually turning it into a native Android app once I've formalized some of the design. I figured it was something people in this sub might be interested in. You can get the APK, the sample launching script, and the setup instructions on my Github. If you're interested in following the project you can do so at r/SapphireFramework
- Small Demo App, Related to Athena/Sapphire Framework.
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Okay google on grapheneos
This project is still in early but you could like it https://github.com/Tadashi-Hikari/Athena
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It's foolish to think open source isn't possible on Android.
Google Assistant: Dicio is already on F-Droid but it won't get what you are saying. Possible actions are limited. There's also Athena that's in development, though it is not ready for any kind of use. Depending on whether you need some sort of an accessibility service, you can get away with ditching Ok Google / Alexa / Cortana / Bixby. TalkBack should help with it too.
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Is there a viable AOSP speech-to-text app?
Along with what you said, the Athena project also seem like interesting - even though you have to build it. Yet this video indicates that the developer knows what he is doing
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Important notes on 2022 projects
Athena - intends to completely replace Google assistant,
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Status of FOSS voice typing (speech to text)
Athena and the Sapphire framework
- A Working Free and Open Source "Google" (NOT!) Assistant, Text to Speech, and Speech To Text Project
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
[1]: https://github.com/mozilla/firefox-translations/
[2]: https://research.mozilla.org/
What are some alternatives?
Sapphire-Assistant-Framework - An extensible framework for creating Android Assistants on-device. It does not require Google services or network connectivity
Kaldi Speech Recognition Toolkit - kaldi-asr/kaldi is the official location of the Kaldi project.
dicio-android - Dicio assistant app for Android
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)
joplin-android - Android releases for Joplin
picovoice - On-device voice assistant platform powered by deep learning
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
STT - 🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
Camera - Modern camera app focused on privacy and security with QR & barcode scanning.
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
callrecorder-skvalex - callrecorder-skvalex
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.