Download Offline Voice Commands
Jenine Izaguirre
It worked for me (android 4.1.2), then language recognition worked out of the box, without rebooting. I can now dictates instructions to the shell of Terminal Emulator ! And it is twice faster offline than online, on a padfone 2 from ASUS.
A simple and flexible offline recognition on Android is implemented by CMUSphinx, an open source speech recognition toolkit. It works purely offline, fast and configurable It can listen continuously for keyword, for example.
Google did not make offline speech recognition available to third party apps. Offline recognition is only accessable via the keyboard. Ben Randall (the developer of utter!) explains his workaround in an article at Android Police:
I was dealing with this and I noticed that you need to install the offline package for your Language. My language setting was "Español (Estados Unidos)" but there is not offline package for that language, so when I turned off all network connectivity I was getting an alert from RecognizerIntent saying that can't reach Google, then I change the language to "English (US)" (because I already have the offline package) and launched the RecognizerIntent it just worked out.
It is apparently possible to manually install offline voice recognition by downloading the files directly and installing them in the right locations manually. I guess this is just a way to bypass Google hardware requirements. However, personally I didn't have to reboot or anything, simply changing to UK and back again did it.
The circuit itself is pretty straight forward, basically we just need to connect the TTL uart of SU-03T and ESP32. ESP32 is running on ESPHome framework. We are able to read the serial output from the chip and forward to Home Assistant using Custom UART Text Sensor. Likewise, using Custom UART Switch, we can create a switch in Home Assistant to send commands to the chip. In this way we are able to have two way communication between Home Assistant and our device. Neat!
We have since gone through a few iterations of redesigning the device, tuning the firmware and package everything into a self-contained unit. The final product, ESPVoice, contains an ESP32 board, voice recognition chip, speaker and mic. ESPVoice runs on an ESPHome compatible firmware and can be integrated into Home Assistant as an ESPHome device without much configuration.
Limitations
ESPVoice is an offline voice recognition device that only responds to commands that are pre-trained by the user. User has to say the exact pre-trained words in order for the recognition to work. It is not able to understand the context of a speech like an existing smart speaker.
Rhasspy comes with a snazzy web interface that lets you configure, program, and test your voice assistant remotely from your web browser. All of the web UI's functionality is exposed in a comprehensive HTTP API.
Rhasspy is intended for savvy amateurs or advanced users that want to have a private voice interface to their chosen home automation software. There are many other voice assistants, but none (to my knowledge) that:
If you feel comfortable sending your voice commands through the Internet for someone else to process, or are not comfortable customizing software to handle intents, I recommend taking a look at Mycroft.
Voice recognition is a computer technology that recognizes and converts speech signals into editable text or operational commands through analysis. It allows people to interact with computers by speaking without usinga mouse, keyboard, or other input devices. Voice recognition technology has been widely used in applications such as voice assistants, smart homes, voice search, and voice recognition notebooks.
Gravity: offline speech recognition sensor is built around an offline voice recognition chip, which can be directly used without an internet connection. It comes with 121 built-in fixed command words and supports the addition of 17 custom command words.Meanwhile, this voice recognition module compatibility with multiple common controllers enables it to provide a flexible solution for makers and electronics enthusiasts in terms of voice interaction. It can be applied to any application that requires voice control or interaction, such as various smart home appliances, toys, lighting fixtures, and robotics projects, among others.
The voice recognition module is equipped with a self-learning function and supports the addition of 17 custom command words. Any sound could be trained as a command, such as whistling, snapping, or even cat meows, which brings great flexibility to interactive audio projects.
For instance automatic pet feeder. When a cat emits a meow, the offline voice recognition module can recognize the meow and trigger the feeder to automatically provide food for the cat. This innovative design ensures that the owner can promptly meet the cat's dietary needs. Moreover, the product is equipped with excellent noise resistance and long-distance recognition capabilities, allowing for precise identification of the cat's meows even in noisy environments.
For instance, in an intelligent window system, when it starts to rain or thunder, there's no need for manual window operation. The offline voice recognition module can recognize the pre-set command word "close the window," triggering the automatic closing of the window to cope with sudden weather changes.
The language learning voice recognition module features a dual microphone design with better noise resistance and a longer recognition distance, making it relatively accurate and reliable even in noisy environments. It comes with a built-in speaker and an external speaker interface for real-time voice feedback of recognition results.
For instance, one can wake up a voice assistant using a wake-up word, and the assistant promptly responds and begins learning or utilizing command words. When learning or deleting command words, the voice assistant also provides immediate feedback on the success of the operation. This greatly enhances the user's experience and convenience.
Keeping a constant data connection is getting easier every day, whether we're in heavily populated areas or in the middle of nowhere. But there are still situations when we're bound to lose service, perhaps during a power outage or while driving through a dead zone. Just because you've lost access to Google's servers, it doesn't mean you should lose all of the powerful capabilities your phone has to offer. Google has just enabled a small set of voice commands for use even when you're completely offline.
If your phone was offline about a week ago and you tried a voice action, you probably would have seen a "Something went wrong" error message pop up just below the Google search box. Now, the warning will still show up, but just below it is a new card titled "Offline voice tips" with a short list of voice commands that should work sans data connection.
The "Open" command can be used to launch any app that's installed on your device, not just Gmail. "Play Music" is a bit unique in that it doesn't just launch directly into your music player of choice, but actually starts playing a randomly chosen track. If you are offline, it will pick locally stored music.
The first signs of offline voice support appeared in a teardown of the Google app back in June, but the capability was not enabled at the time. It's not clear exactly when this feature was activated, but it was still not available when I tested for it early last week while writing a teardown of Google v5.3. So far, it seems like offline voice support might be limited to just the US or devices with English as the primary language, but it's not entirely clear what the restrictions are. It does require the v5.3 of the Google app (available at APK Mirror or the Play Store) and the offline language pack.
The list of actions certainly isn't very long, but there are only so many things that can be done without a functioning data connection. We can probably expect to see additional commands in the future for things like Do Not Disturb modes, ending Google Cast sessions, and possibly even launching more actions within apps like the "Play Music" command does. In the meantime, the initial set of commands are definitely a good start and should help us stay hands-off a little more often.
Here is a demonstration application that uses the Porcupine wake word engineand the Rhino Speech-to-Intent engines to control lights in a home. All speechrecognition is private, offline, and in-browser.
Offline web voice AI is challenging. We had to extend our in-house deep learning framework to run onWebAssembly with SIMD support. These models run in thebackground using Web Workers . Together with theWeb Audio API , these provided the foundation foraccessing microphone data in the browser and processing it. We have abstracted these cutting-edge web technologies inPicovoice SDKs for the Web.
I believe secure settings Google Voice input will activate the launch activity for Google Now Voice Search, and not pass any input into tasker.Switching locale will require root also. (Switching keyboard)I could be mistaken, but I believe AutoVoice does not require access online to interpret voice recognition results.AutoVoice might work for what you're looking for.
Further lighting control options, primarily LED lighting, appeared along with the mass spread of mobile phones: especially smartphones. Wireless lighting control systems have developed that use the Bluetooth standard for communication. Applications installed on smartphones have become a perfect, intuitive interface. This eliminated the need to approach the control board, because everyone could use their own, portable telephone usually kept within reach, to send commands wirelessly.
From the user's point of view, the most convenient way to control the light, e.g. when his hands are occupied or when the switch, remote control or telephone are out of reach of hands, is to use voice commands. This is the most intuitive and fast control. We simply say the command specifying what, where and how we want to change, and the system recognizes and executes it.
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