A web package for keyword detection
npm install web-wake-wordBy DaVoice.io email: ofer@davoice.io
Welcome to Davoice Wake Words – the premier Wake Words / keyword detection solution designed by DaVoice.io.
This is a "wake word" package for React.js, Javascript, Angular, Vue.js, Svelte, Next.js, Nuxt.js, Gatsby, Ember.js, Backbone.js and Mithril.js. A wake word is a keyword that activates your device, like "Hey Siri" or "OK Google". "Wake Word" is also known as "keyword detection", "Phrase Recognition", "Phrase Spotting", “Voice triggered”, “hot word”, “trigger word”
It also provide Speech to Intent. Speech to Intent refers to the ability to recognize a spoken word or phrase
and directly associate it with a specific action or operation within an application. Unlike a "wake word", which typically serves to activate or wake up the application,
Speech to Intent goes further by enabling complex interactions and functionalities based on the recognized intent behind the speech.
For example, a wake word like "Hey App" might activate the application, while Speech
to Intent could process a phrase like "Play my favorite song" or "Order a coffee" to
execute corresponding tasks within the app.
Speech to Intent is often triggered after a wake word activates the app, making it a key
component of more advanced voice-controlled applications. This layered approach allows for
seamless and intuitive voice-driven user experiences.
- High Accuracy: We have succesfully reached over 99% accurary for all our models. Here is on of our customer's benchmarks:
```
MODEL DETECTION RATE
===========================
DaVoice 0.992481
Top Player 0.874812
Third 0.626567
- Platforms: Web, JS, Angular, React etc'
- Easy to deploy: Check out our example to enabled your web app.
- Low Latency: Experience near-instantaneous keyword detection.
If you need to the wasm file path, you can add another variable to KeywordDetector constructor.
Below is an example of adding path to chrome extension path:
``
const keywordDetector = new KeywordDetector(
modelsPath,
'model.onnx',
threshold,
bufferCount,
onKeywordDetected,
'chrome-extension://
);
Next.js requires static paths. You can run environment flags for the path such as below. Otherwise on Next.js the default path would be './'
MODEL_FOLDER_PATH="/static/your-lib/" WASM_BASE_PATH="/static/your-lib/" AUDIO_WORKLET_PATH="/static/your-lib/" npm run build
npm install
npm run build
Here is an example:
npm install -g http-server
http-server . -p 8080 --ssl --cert cert.pem --key key.pem
or "npm run start"
nopenssl genrsa -out key.pem 2048
nopenssl req -new -key key.pem -out csr.pem
nopenssl x509 -req -days 365 -in csr.pem -signkey key.pem -out cert.pem
In order to generate your custom wake word you will need to:
- Create wake word mode:
Contact us at info@davoice.io with a list of your desired "custom wake words".
We will send you corresponding models typically your wake word phrase .onnx for example:
A wake word *"hey sky" will correspond to hey_sky.onnx.
- Add wake words to javascript project:
Simply copy the new onnx files to models directory make sure this directory it copied to the targer such as "dist/model".
- In JS code add the new onnx files to your configuration
In example.js change
``
const modelToUse = "need_help_now.onnx";
To
``
const modelToUse = "hey_sky.onnx"; // or your_model.onnx
https://github.com/frymanofer/Web_WakeWordDetection/tree/main/example
A wake word is a keyword that activates your device, like "Hey Siri" or "OK Google". "Wake Word" is also known as "keyword detection", "Phrase Recognition", "Phrase Spotting", “Voice triggered”, “hot word”, “trigger word”
Speech to Intent refers to the ability to recognize a spoken word or phrase
and directly associate it with a specific action or operation within an application.
Unlike a "wake word," which typically serves to activate or wake up the application,
Speech to Intent goes further by enabling complex interactions and functionalities
based on the recognized intent behind the speech.
For example, a wake word like "Hey App" might activate the application, while Speech
to Intent could process a phrase like "Play my favorite song" or "Order a coffee" to
execute corresponding tasks within the app.
Speech to Intent is often triggered after a wake word activates the app, making it a key
component of more advanced voice-controlled applications. This layered approach allows for
seamless and intuitive voice-driven user experiences.
Our platform ensures 99%+ accuracy in various environments.
```
MODEL DETECTION RATE
===========================
DaVoice 0.992481
Top Player 0.874812
Third 0.626567
DaVoice.io javascript "Voice commands" "Wake words" "Voice to Intent" "keyword detection".
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