#Captivate 2019 text to speech code#

For example, in the first image вЂњPizzaвЂќ will be the command to be recognized, whereas in the second it will be вЂњPastaвЂќ. The text to be recognized will be matched against the Dialogue Text from the node or the Menu Text if the Dialogue Text field is empt y.

#Captivate 2019 text to speech code#

To use another language use the language code from, for e xample вЂњ it-IT вЂќ for Italian, or вЂњ he-IL вЂќ or вЂњ he вЂќ for Hebrew. To add a new CAF, click on Add New Field at the bottom, and use the following settings:ДЄ note on speechRecognition_language : вЂњ en-US вЂќ is the default value and in that case, adding the parameter is not required. To do so, open Project > Project Settings, then select the Custom Asset Fields tab, and finally select the Conversations tab. The next step is to add the required Custom Asset Fields (CAFs) in ChatMapper. Find вЂњEnable Speech RecognitionвЂќ in the вЂњExperimentalвЂќ section and change it to Enabled.The feature is enabled by turning on a setting in Dashboard. The following will enable speech recognition on every choice. Oculus Go and Oculus Quest do not support native HTML5 speech recognition at the time of writing (June 10th, 2019), therefore these devices use the fallback recognition service. Where native HTML5 speech recognition is not supported by the browser, a fallback is used with Google Cloud Speech-to-Text.ДЄ list of all supported languages is not available, but we can make the assumption that it is the same as the one contained here: Д«rowsers that support HTML5 speech recognition include: This means speech data is sent to GoogleвЂ™ servers and is handled under their data privacy policy. The HTML5 Speech Input API in Chrome uses Google's private endpoint (the recognition is done on Google servers). Since version 2.9, LearnBrite supports speech recognition using Google ChromeвЂ™s built-in feature. Matching different text than what is displayed