Hi, Again,Now i can convert text to speech the example is here:Also i can convert text from any language to speech just changing this line of code:byte audio = ttsService.sendRequest('text/plain', 'Mi nombre es Rosa y hablo espanol al fin.' , 'VoiceName=rosa,Volume=100');VoiceName= is the important thing to request the speech idiom.English: crystal,mike,etc.Spanish: rosa, alberto,etc.Only two more thing is missing:. How can I convert Speech to text on live? Spanish and English. Where is all the documentation or tutorial or more example with explanation or a book?Thanks to all for all your help.

• Google Text To Speech Api Java

The Web Speech API provides two distinct areas of functionality — speech recognition, and speech synthesis (also known as text to speech, or tts) — which open up interesting new possibilities for accessibility, and control mechanisms. This article provides a simple introduction to both areas, along with demos. Speech recognitionSpeech 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.The Web Speech API has a main controller interface for this — — plus a number of closely-related interfaces for representing grammar, results, 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. Think about Dictation on macOS, Siri on iOS, Cortana on Windows 10, Android Speech, etc. Note: On Chrome, using Speech Recognition on a web page involves a server-based recognition engine. Your audio is sent to a web service for recognition processing, so it won't work offline. DemoTo show simple usage of Web speech recognition, we've written a demo called. 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 run the demo, you can clone (or ) the Github repo it is part of, open the HTML index file in a supporting desktop browser, or navigate to the in a supporting mobile browser like Chrome.

Google Text To Speech Api Java

Browser supportSupport for Web Speech API speech recognition is curently limited to Chrome for Desktop and Android — Chrome has supported it since around version 33 but with prefixed interfaces, so you need to include prefixed versions of them, e.g. HTML and CSSThe HTML and CSS for the app is really trivial. We simply have a title, instructions paragraph, and a div into which we output diagnostic messages.

Speech color changerTap/click then say a color to change the background color of the app.diagnostic messagesThe CSS provides a very simple responsive styling so that it looks ok across devices. JavaScriptLet's look at the JavaScript in a bit more detail.

Chrome supportAs mentioned earlier, Chrome currently supports speech recognition with prefixed properties, therefore at the start of our code we include these lines to feed the right objects to Chrome, and any future implementations that might support the features without a prefix: var SpeechRecognition = SpeechRecognition webkitSpeechRecognitionvar SpeechGrammarList = SpeechGrammarList webkitSpeechGrammarListvar SpeechRecognitionEvent = SpeechRecognitionEvent webkitSpeechRecognitionEvent The grammarThe next part of our code defines the grammar we want our app to recognise. The following variable is defined to hold our grammar: var colors = 'aqua', 'azure', 'beige', 'bisque', 'black', 'blue', 'brown', 'chocolate', 'coral'. ;var grammar = '#JSGF V1.0; grammar colors; public = ' + colors.join(' ') + ';'The grammar format used is ( JSGF) — you can find a lot more about it at the previous link to its spec. However, for now let's just run through it quickly:.

The lines are separated by semi-colons, just like in JavaScript. The first line — #JSGF V1.0; — states the format and version used. This always needs to be included first. The second line indicates a type of term that we want to recognise. 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.

Note how each is separated by a pipe character. You can have as many terms defined as you want on separate lines following the above structure, and include fairly complex grammar definitions. For this basic demo, we are just keeping things simple.Plugging the grammar into our speech recognitionThe next thing to do is define a speech recogntion instance to control the recognition for our application. This is done using the constructor. We also create a new speech grammar list to contain our grammar, using the constructor.

Var recognition = new SpeechRecognition;var speechRecognitionList = new SpeechGrammarList;We add our grammar to the list using the method. This accepts as parameters the string we want to add, plus optionally a weight value that specifies the importance of this grammar in relation of other grammars available in the list (can be from 0 to 1 inclusive.) The added grammar is available in the list as a object instance. SpeechRecognitionList.addFromString(grammar, 1);We then add the to the speech recognition instance by setting it to the value of the property. We also set a few other properties of the recognition instance before we move on:.: Sets the language of the recognition.

Setting this is good practice, and therefore recommended.: Defines whether the speech recognition system should return interim results, or just final results. Final results are good enough for this simple demo.: Sets the number of alternative potential matches that should be returned per result.

This can sometimes be useful, say if a result is not completely clear and you want to display a list if alternatives for the user to choose the correct one from. But it is not needed for this simple demo, so we are just specifying one (which is actually the default anyway.)recognition.grammars = speechRecognitionList;//recognition.continuous = false;recognition.lang = 'en-US';recognition.interimResults = false;recognition.maxAlternatives = 1.