The Cohort and Speechify Libraries for Rapid Construction of Speech Enabled Applications for Android
The Cohort and Speechify Libraries for Rapid Construction of Speech Enabled Applications for Android
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用于快速构建 Android 语音应用程序的 Cohort 和 Speechify 库
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Amanda Stent
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文献类型：
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作者：
Tejaswi Kasturi;Haojian Jin;Aasish Pappu;Sungjin Lee;Beverley Harrison;Ramana Murthy;Amanda Stent
尽管“在云端”提供语音识别和文本到语音合成的库很流行，但开发人员仍然很难为其移动的应用程序创建用户友好的、一致的口语接口。在本文中，我们提出了Speechify /队列库的Android应用程序的快速语音启用。Speechify库封装了几个公开可用的语音识别和合成API，集成了最先进的语音活动检测和简单灵活的混合语音识别，并允许开发人员尝试不同的用户交互模式。队列库建立在OpenDial的精简版上，便于“语音化”移动的应用程序之间和内部的灵活交互。
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.