knowsetr.blogg.se - Webkitspeechrecognition no speech timer

#Webkitspeechrecognition no speech timer android#
#Webkitspeechrecognition no speech timer plus#

For this basic demo, we are just keeping things simple.

You can have as many terms defined as you want on separate lines following the above structure, and include fairly complex grammar definitions.Note how each is separated by a pipe character. public declares that it is a public rule, the string in angle brackets defines the recognised name for this term (color), and the list of items that follow the equals sign are the alternative values that will be recognised and accepted as appropriate values for the term.

The second line indicates a type of term that we want to recognise.

The first line - #JSGF V1.0 - states the format and version used.

The lines are separated by semi-colons, just like in JavaScript.

However, for now let's just run through it quickly: The grammar format used is JSpeech Grammar Format ( JSGF) - you can find a lot more about it at the previous link to its spec. When the screen is tapped/clicked, you can say an HTML color keyword, and the app's background color will change to that color. To show simple usage of Web speech recognition, we've written a demo called Speech color changer. Your audio is sent to a web service for recognition processing, so it won't work offline. Note: On some browsers, like Chrome, using Speech Recognition on a web page involves a server-based recognition engine.

#Webkitspeechrecognition no speech timer android#

Think about Dictation on macOS, Siri on iOS, Cortana on Windows 10, Android Speech, etc. Generally, the default speech recognition system available on the device will be used for the speech recognition - most modern OSes have a speech recognition system for issuing voice commands.

#Webkitspeechrecognition no speech timer plus#

The Web Speech API has a main controller interface for this - SpeechRecognition - plus a number of closely-related interfaces for representing grammar, results, etc. Speech recognition involves receiving speech through a device's microphone, which is then checked by a speech recognition service against a list of grammar (basically, the vocabulary you want to have recognised in a particular app.) When a word or phrase is successfully recognised, it is returned as a result (or list of results) as a text string, and further actions can be initiated as a result.