Does the Watson Text-to-Speech service in Bluemix work for mobile apps? - ibm-cloud

Question

Why doesn't the Watson Text-To-Speech service on Bluemix work for mobile devices? Is this a common issue for outputstream data coming from the server? Thanks!
Edit: Sry, somebody have changed my question totally. I am talking about Text-to-Speech

Answer 1

Text To Speech works in Android, and there is a SDK you can use.
http://watson-developer-cloud.github.io/java-wrapper/
For example, to get all the voices you can do:
import com.ibm.watson.developer_cloud.text_to_speech.v1.TextToSpeech;
import com.ibm.watson.developer_cloud.text_to_speech.v1.model.VoiceSet;
TextToSpeech service = new TextToSpeech();
service.setUsernameAndPassword("<username>", "<password>");
VoiceSet voices = service.getVoices();
System.out.println(voices);
where username and password are the credentials you get in Bluemix when you bind the service. You can learn more about the Text to Speech methods by looking at the javadocs here.
It was released today and I made it so let me know if you find any issue.

Answer 2

The Watson Speech-To-Text service is a REST API. You will need to call the REST API from your mobile app. For more info about the REST API check out the API docs.

Answer 3

If you want to use Watson Text-To-Speech for iOS devices it might be handy using Watson-Developer-Cloud SDK for iOS - you might checkout the example on my blumarek.blogspot, just simply build an app in XCode 7.3+:
step 1. use carthage to get all the dependencies:
(create a file cartfile in a project root directory and run the command carthage update --platform iOS)
$ cat > cartfile
# cartfile contents
github "watson-developer-cloud/ios-sdk"
and then you need to add the frameworks to the XCode project - check Step 3: Adding the SDK to the Xcode project on my blumareks.blogpost
step 2. add the code to call the Watson TTS and leverage AVFoundation
(AVFoundation is being deprecated):
- do not forget to add the Watson TTS service in Bluemix.net and get the credentials from it:
{
"credentials": {
"url": "https://stream.watsonplatform.net/text-to-speech/api",
"username": "<service User name>",
"password": "<password>"
}
}
And the code is a plain one:
import UIKit
//adding Watson Text to Speech
import WatsonDeveloperCloud
//adding AVFoundation
import AVFoundation
class ViewController: UIViewController {
#IBOutlet weak var speakText: UITextField!
override func viewDidLoad() {...}
override func didReceiveMemoryWarning() {...}
#IBAction func speakButtonPressed(sender: AnyObject) {
NSLog("speak button pressed, text to say: " + speakText.text!)
//adding Watson service
let service = TextToSpeech(username: "<service User name>", password: "<password>")
service.synthesize(speakText.text!)
{(data, error) in
do {
let audioPlayer = try AVAudioPlayer(data: data!)
audioPlayer.prepareToPlay()
audioPlayer.play()
sleep(10) //the thread needs to live long enough to say your text
} catch {
NSLog("something went terribly wrong")
}
}}}

Answer 4

It is unclear if you are asking about the speech to text or vice versa. The speech to text is covered in most of the questions above and can be referenced on the Watson site -
http://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/speech-to-text.html
The Speech to Text service converts the human voice into the written word. This easy-to-use service uses machine intelligence to combine information about grammar and language structure with knowledge of the composition of the audio signal to generate a more accurate transcription. The transcription is continuously sent back to the client and retroactively updated as more speech is heard. Recognition models can be trained for different languages, as well as for specific domains.

Answer 5

If you look at this github project https://github.com/FarooqMulla/BluemixExample/tree/master which uses the Old SDK
There is an example that uses the real time speech to text api which sends audio packets to bluemix and receives back the transcribed string in real time.
Beware as of 1/22/16 the new Swift based SDK is broken for this particular functionality.