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Self-Speech Evaluation with Speech Recognition and Gesture Analysis

机译：语音识别和手势分析的自我语音评估

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摘要

Speaking helps people to improve their communication, public speaking and leadership skills. There are two main techniques that help a speaker to deliver a meaningful speech. The techniques are voice transition which expresses a verbal message and gestures that convey the message to an audience. A famous organization to help and improvise speech is Toastmasters. Their systems of evaluation are such as, Tracking Filler words, Usage of Redundant words and Phrases, Checking Grammar and Pronunciation, Usage of Body Movements and Gestures, Tracking Vocal Variations and Time Management. If an ordinary person wants to self-evaluate his or her speech, that person has to be a member of a Toastmasters Club or any other speech improvising organization. By using our application, it is possible for a person to evaluate his or her own speech without depending on an organization. All the above-mentioned criteria in manual evaluation processes are included in this application. Since nowadays mobile applications are frequent in use, our system is proposed in Android Platform. Several techniques and methods are used to interconnect with Android such as OpenCV, Microsoft Cognitive Services and MATLAB in order to achieve the objectives of the application. Acoustic Model, Support Vector Model (SVM), Hidden Markov Model (HMM) are some models used to build the application more efficient by giving approximately accurate results.
机译：口语有助于人们改善他们的沟通，公开演讲和领导技能。有两种主要技术可以帮助发言者提供有意义的演讲。这些技术是语音转换，它表达了将消息传达给观众的口头留言和手势。一个着名的组织来帮助和即兴演讲是敬酒者。他们的评估系统是追踪填充词，冗余单词和短语的用法，检查语法和发音，身体运动和手势的使用，跟踪声乐变化和时间管理。如果一个普通人想要自我评估他或她的言论，那个人必须成为敬酒者俱乐部或任何其他演讲组织的成员。通过使用我们的申请，可以在不依赖于组织的情况下评估他或她自己的演讲。本申请包括在手动评估过程中的所有上述标准。由于现在使用的移动应用程序频繁，我们的系统是在Android平台中提出的。若干技术和方法用于与Android互连，例如OpenCV，Microsoft认知服务和Matlab，以实现应用程序的目标。声学模型，支持向量模型（SVM），隐藏的Markov模型（HMM）是一种用于通过提供近似准确的结果来构建应用程序的一些型号。

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