Despite the prevalence of libraries that provide speech recognition and text-tospeech 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.
CITATION STYLE
Kasturi, T., Jin, H., Pappu, A., Lee, S., Harrison, B., Murthy, R., & Stent, A. (2015). The cohort and speechify libraries for rapid construction of speech enabled applications for Android. In SIGDIAL 2015 - 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue, Proceedings of the Conference (pp. 441–443). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w15-4661
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