Research on Tibetan Pronunciation Error Correction System Based on .NET Framework

Jun Jiang, Mingfei Jiang, Xufang Zhang, Zhuo Ga
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引用次数: 0

Abstract

Tibetan culture is an indispensable part of world, and Tibetan language is the primary channel to understand it. There are many types of Tibetan learning software, but most of the interaction between the software and users stays in the simple stage of video and audio playback. Intelligent error correction of the user's pronunciation is a bottleneck for the system to become intelligent. To solve this problem, based on the current advanced speech technology theory and .NET framework, combined with the theory of deep learning, this paper implements the error correction algorithm and software interface, and completes the Tibetan pronunciation training system with various functions such as pronunciation demonstration and error correction, etc. Also, the pronunciation training system with various functions provides a feasible technical solution for intelligent error correction of Tibetan spoken language.
基于。net框架的藏语语音纠错系统研究
西藏文化是世界文化的重要组成部分,藏语是了解西藏文化的主要渠道。藏语学习软件种类繁多,但软件与用户之间的交互大多停留在简单的视频和音频播放阶段。语音智能纠错是系统实现智能化的瓶颈。为了解决这一问题,本文基于当前先进的语音技术理论和。net框架,结合深度学习理论,实现了纠错算法和软件接口,完成了具有发音演示、纠错等多种功能的藏语语音训练系统。同时,具有多种功能的语音训练系统为藏语口语智能纠错提供了可行的技术解决方案。
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