DeepSpeech
dicio-android
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DeepSpeech | dicio-android | |
---|---|---|
67 | 26 | |
24,212 | 597 | |
1.2% | - | |
0.0 | 6.8 | |
2 months ago | 2 months ago | |
C++ | Kotlin | |
Mozilla Public License 2.0 | GNU General Public License v3.0 only |
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
dicio-android
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Changes we're making to Google Assistant
So perhaps it's a good day to call for contributors to add more actions to https://github.com/Stypox/dicio-android ? If Google wants to remove features, they can be replaced by something that doesn't have that problem.
- Dicio: The free, privacy friendly open-source Voice Assistant that runs solely on your phone!
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Voice input / speech to text
I've just discovered Dicio, a promising voice assistant and speech-to-text app that is pure FOSS. I'd love to use the apps's speech-to-text capabilities system-wide. Reading through the Github page of the app tells me that this is possible.
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Is there a Foss speech recognition and Text To Speech to replace the Google one?
Dicio is the onl one I know. Since version 0.8 it can be used as a general SST engine from any app (didn't test it personally tho)
- Google Assistant alternative - Dicio assistant app for Android
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⟳ 3 apps added, 30 updated at f-droid.org
Dicio (version Placeholder): Voice assistant: multilanguage, configurable and free
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Show HN: I record myself on audio 24x7 and use an AI to process the information
You can use open source assistant instead like Dicio https://github.com/Stypox/dicio-android and configure it the way you like.
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Alternative to Google voice input
Check it here
- Remember to disable the hospital spy before discussing sensitive information
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Any FOSS voice assistant
Hey! Best thing I know of at the moment is Dicio made by some of the same people behind NewPipe.
What are some alternatives?
Kaldi Speech Recognition Toolkit - kaldi-asr/kaldi is the official location of the Kaldi project.
Mycroft-Android - Android companion app, sends commands from your Android device to your Mycroft system and returns the output as speech or other medium to the Android device.
NeMo - NeMo: a framework for generative AI
vosk-android-service - Offline voice typing for Android
picovoice - On-device voice assistant platform powered by deep learning
rhasspy - Offline private voice assistant for many human languages
STT - 🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
termux-api - Termux add-on app which exposes device functionality as API to command line programs.
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
xiaoai-patch - Patching for XiaoAi Speakers, add custom binaries and open source software. Tested on LX06, LX01, LX05, L09A
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.
Camera - Modern camera app focused on privacy and security with QR & barcode scanning.