As said above, on all platforms except Android, the speech engine will be available immediately. The OnSpeechFinished event will be fired when the speech has stopped, either because there is no more text to speak, or you called Stop to terminate the speech.įinally, you will note the Available property and OnAvailable event. Depending on the platform, this will stop speaking immediately or wait until the current word has been finished. Once the engine actually starts to speak, it will fire the OnSpeechStarted event. This method is asynchronous and returns immediately while the text is spoken in the background. If the engine was already speaking some text, then the current speech will be terminated. To speak some text, just call the Speak method and supply the text to speak. Property OnSpeechFinished: TNotifyEvent read _GetOnSpeechFinished write _SetOnSpeechFinished Property OnSpeechStarted: TNotifyEvent read _GetOnSpeechStarted write _SetOnSpeechStarted
Property OnAvailable: TNotifyEvent read _GetOnAvailable write _SetOnAvailable Property Available: Boolean read _GetAvailable The text-to-speech API is defined in an interface called IgoTextToSpeech (in the unit Grijjy.TextToSpeech):įunction Speak(const AText: String): Boolean For the text-to-speech library we use the “object interface” approach as discussed in that post. In our blog post about Cross Platform Abstraction we presented different ways to abstract platform-specific API differences. At the end of this post, you should be able to add other features yourself. To keep the size of this post somewhat manageable, we only support the most basic text-to-speech features: speaking some text (using the default voice and settings) and stopping it. On non-Android platforms, we just fire this event immediately after construction. This means that we have to add some sort of notification to the engine to let clients know that the engine has initialized.
ANDROID TEXT TO SPEECH API EXAMPLE ANDROID
On Android though, you have to wait until the engine has fully initialized in the background before you can use it. For example, on all platforms except Android, you can start speaking immediately after you create the text-to-speech engine. Or you can have a combination of both.Īlso, there may be some features (or issues) on one platform that also affect the API for other platforms. Or you can choose to support more features which either do nothing on certain platforms or raise some kind of “not supported” exception. You can choose to go for the lowest common denominator approach and only expose those features that are supported on all platforms. Other platforms may not support some of these features, or only in an incompatible way. When it comes to text-to-speech, some platforms support choosing a voice, changing the pitch or speech rate, customize pronunciation with markup in the text to speak etc. A specific feature may be supported on one platform, but not on another. Choosing a feature setĪ common issue with abstracting platform differences is that you must decide on a feature set. If you are only interested in the end result, then you can stick to the first part of this post and bail when we get to the implementation details. You can find the source code on GitHub as part of the JustAddCode repository. It works on Windows, macOS, iOS and Android. In particular, we present a small Delphi library to add cross platform text-to-speech to your app. Import post is a small exercise in designing a cross platform abstraction layer for platform-specific functionality. Now copy the designed mic button to your project drawable folder Make a simple button in your favorite editor in my case I used photoshop for creating a simple mic button and save it into png form Then set Application name in my case I select SpeechToText and select java language if you working on java programming and click on the finish button Then select the empty activity and click on the next button To create new project in the android studio simply click the new project button as you can see in the below figure
I showed you a few screenshots so you could understand how it works.Ĭreating Android Speech to text Application: so basically as you can see on the below image here our activity will have one image view button and one edit text so whenever a user clicks the microphone little icon or a button it will open a white dialog box in which users should start talking to the microphone and then the Google API will recognize those words or sentences and after that, it will set those words into our edit text.
ANDROID TEXT TO SPEECH API EXAMPLE HOW TO
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