ProjectAlice
DeepSpeech
ProjectAlice | DeepSpeech | |
---|---|---|
9 | 68 | |
693 | 24,422 | |
1.0% | 1.4% | |
3.7 | 0.0 | |
5 months ago | 3 months ago | |
Python | C++ | |
GNU General Public License v3.0 only | 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.
ProjectAlice
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Leon: Open-source, self-hosted personal assistant
https://github.com/project-alice-assistant/ProjectAlice
It is self hosted, offline by default, with options to use various ASR and TTS engines, some online, depending on your own privacy, performance or quality choices. It's quite mature and the maintainers are aiming for a 1 0.0 version release. I have been running it as the primary voice interface to my home automation system for years.
As someone else said elsewhere, there are a few assistants around now. Perhaps there is some benefit for sharing of resources too, as all struggle for contributors.
- Project Alice – an open source virtual assistant that can run offline
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Ask HN: Private Alternatives to Alexa?
Consider Project Alice. OSS runs on Raspberry Pi or AMD container. https://github.com/project-alice-assistant/ProjectAlice
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Wake Word technologies for Jetson AGX Xavier
It might be overkill, but have a look at Project Alice
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Is anyone developing an open source, privacy focussed voice assistant?
--> Project Alice.
- r/homeassistant, which voice assistant are you using? My goal would be to use a local-only voice assistant, but confused by all the options, features, challenges, and what is/not 100% local.
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As I understand it DeepSpeech is no longer actively maintained by Mozilla: https://github.com/mozilla/DeepSpeech/issues/3693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.
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.
mycroft-core - Mycroft Core, the Mycroft Artificial Intelligence platform.
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
voice-assistant-discord-bot - Music discord.py bot with build-in google assistant and other usefull features (can be used with voice or text commands).
STT - 🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
xiaoai-patch - Patching for XiaoAi Speakers, add custom binaries and open source software. Tested on LX06, LX01, LX05, L09A
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
meerk40t - Hackable Laser software for the K40 Stock-LIHUIYU laser boards.
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.