The COMPRISE Speech-to-Text-Translation: Discover the benefits!
What is it?
COMPRISE Speech-to-Text-Translation combines “Speech-to-Text” and “Machine Translation” in a smart way, to allow a user to speak his or her own language when interacting with a dialogue system that is internally designed for a different language.
Why do I need it?
Traditionally, adding a new language to a dialogue system would have required the internal design to also be modified to match the new language, since the quality of “Machine Translation of Speech-to-Text output” was not adequate for the dialogue system to understand the user input.
What make this different?
Machine Translation models are usually trained on text data, which do not replicate the errors and disfluencies in Speech-to-Text Outputs.
Instead of combining two separately trained “Speech-to-Text” and “Machine Translation” models into a pipeline, COMPRISE Speech-to-Text-Translation incorporates Speech-to-Text output as part of the Machine Translation training data, which results in a reduction of translation errors.
What is the benefit?
With less translation errors, it becomes possible to use automated translation within the system pipeline and broaden the capabilities of the dialogue system.
COMPRISE Speech-to-Text-Translation will enable businesses to quickly develop multilingual voice-enabled services in multiple languages; allowing more citizens to interact verbally with contents and services that are only available in languages other than their own.
For technology providers this will be an alternative lower cost solution to the traditional way of adding new languages for their voice-enabled systems and help integrate more users into their services.
Developer survey: Since you are here and interested in our project, could you please spare a moment to share your concerns and answer 12 questions related to developing voice-enabled apps.