The Cohort and Speechify Libraries for Rapid Construction of Speech Enabled Applications for Android
- Tejaswi Kasturi ,
- Haojian Jin ,
- Aasish Pappu ,
- Sungjin Lee ,
- Beverly Harrison ,
- Ramana Murthy ,
- Amanda Stent
SIGDIAL 2015 Conference, Prague, Czech Republic |
Published by Association for Computational Linguistics
Despite the prevalence of libraries that provide speech recognition and text-to-speech synthesis “in the cloud”, it remains difficult for developers to create user-friendly, consistent spoken language interfaces to their mobile applications. In this paper, we present the Speechify / Cohort libraries for rapid speech enabling of Android applications. The Speechify library wraps several publicly available speech recognition and synthesis APIs, incorporates state-of-the-art voice activity detection and simple and flexible hybrid speech recognition, and allows developers
to experiment with different modes of user interaction. The Cohort library, built on a stripped-down version of OpenDial, facilitates flexible interaction between and within “Speechified” mobile applications.