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Sphinx based speech recognition application for Sidama language

机译：基于Sphinx的Sidama语言语音识别申请

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摘要

Sidamic (sidaam-u afo in Sidama) is one of the languages from the East Highland Cushitic language family. It is a branch of Afro-Asiatic language phylum, spoken in the Sidama zone and some parts of the Southern Nations Nationalities and People's Region of Ethiopia. Although speech recognition systems can achieve accuracy of more than 95% for the read speech inputs, but this accuracy drastically decreases for the spontaneous speech inputs. On the other hand, speech recognition systems applied for real applications are required to be robust and expected to have high accuracy for spontaneous speech inputs. Human beings usually use multimodal communication when they speak with each other especially in noisy environments. In the starting of the last decade, the researchers started working on the spontaneous, robust, multimodal speech recognition systems. Nowadays speech recognition system has become a mandatory part of modern computing devices such as mobile phones, tablet devices etc. In this research, we have developed a spontaneous input speech recognition system for Sidama language using the Hidden Markov Model (HMM).
机译：SIDAMIC（Sidaam-U AFO在Sidama）是东高地芦山族语言系列的语言之一。它是西亚山区的非洲亚洲语言场的分支，南部国家和南部国家民族和埃塞俄比亚人民地区的某些地方。虽然语音识别系统可以实现读取语音输入超过95 ％的精度，但是这种精度对于自发语音输入而大大降低。另一方面，应用于实际应用的语音识别系统是强大的，并且期望具有高精度的自发语音输入。人类通常在互受嘈杂的环境中互相交谈时使用多式联路通信。在过去十年的初期，研究人员开始在自发，强大，多模式语音识别系统上工作。如今，语音识别系统已成为现代计算设备的强制性部分，如移动电话，平板电脑设备等。在本研究中，我们开发了一种使用隐马尔可夫模型（HMM）的Sidama语言的自发输入语音识别系统。

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