Online Multimodal Interaction for Speech Interpretation | Zendy

Vaishali Ingle | Zendy; Aditi Deshpande | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Online Multimodal Interaction for Speech Interpretation

Author(s) -

Vaishali Ingle,

Aditi Deshpande

Publication year - 2010

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/398-594

Subject(s) - computer science , interpretation (philosophy) , natural language processing , human–computer interaction , speech recognition , artificial intelligence , programming language

In this paper, we describe an implementation of multimodal interaction for speech interpretation to enable access to the Web. As per W3C recommendation on 10 February 2009 the latest version of, EMMA is used for translation of speech signals into a format interpreted by the application language, greatly simplifying the process of adding multiple modes to an application. EMMA is used for annotating the interpretation of user input. The lattice is designed by considering the model, architecture, input modalities. The interpretation of the user's input is expected to be generated by signal interpretation process by speech.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research