voicetunes VS DeepSpeech

Here’s the solution I built for that, with a combination of on-device voice control, and a Bluetooth remote: https://github.com/lukifer/voicetunes

Something I’d still like to add is a USB OTG emulation of iOS/Android/iPod/etc, so that the currently playing track shows on the dash, steering wheel controls can be used, etc, but my last experimentation a couple years ago didn’t go anywhere. (All the open source stuff for emulating CarPlay and Android Auto seem to be for the other direction: the dash, not the device.)

Offline voice-controlled jukebox using RPi via Mopidy, and just pushed a branch with Mac support via iTunes/Music.app

https://github.com/lukifer/voicetunes

I can vouch for Rhasspy, it's an amazing and flexible piece of software, though it does require some setup and tech knowledge (albeit with a usable web GUI); and it's very DIY on defining the actual voice commands. I recommend pairing it with Node-RED [0] for routing commands to devices, it has plugins for most things.

The only thing I struggled with was getting the wake-word config right: I could never find the right balance point where it responded every time, without also having annoying false positives, so I ended up turning it off. It does support multiple wake-word engines; I'm gonna have another go with Picovoice Porcupine now that they're opened up custom wake-word training for free.

I'm most heavily experienced with Rhasspy's sister project, voice2json [1], which I used to build a voice-controlled car jukebox [2], and it's been working fantastically. (It triggers from a Bluetooth remote, so no wake-word issues.)

For hardware, Raspberry 3/4 perform quite well, and strong recommend for ReSpeaker [3] for audio (either usb or 4-mic hat).

[0] https://nodered.org/

[1] http://voice2json.org/

[2] https://github.com/lukifer/voicetunes

[3] https://www.seeedstudio.com/category/Speech-Recognition-c-44...

As I understand it DeepSpeech is no longer actively maintained by Mozilla: https://github.com/mozilla/DeepSpeech/issues/3693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

- [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!

algo assim? https://github.com/mozilla/DeepSpeech

If you're not afraid to get a little technical, you could take a look at mozilla/DeepSpeech (installation & usage docs here).

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.