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A knowledge-based approach for Arabic amphatic consonant identification based on speech spectrogram reading

机译:基于语音频谱图读取的基于知识的阿拉伯两性辅音识别方法

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The spectrogram displays the energy distribution in the signal as a function of both time and frequency. High performance phonetic labeling of spectrogram can be obtained without the use of higher level knowledge sources. This paper reports on an attempt to acquire a phonetic knowledge base about Arabic amphatic consonants in order to build an automatic speech recognition system for modern Arabic language. The acquisition of this knowledge base is done by analysing the spectrogram of these consonants in multiple context.
机译:频谱图将信号中的能量分布显示为时间和频率的函数。无需使用更高级别的知识源即可获得声谱图的高性能语音标记。本文报告了一项尝试,以获取有关阿拉伯两栖辅音的语音知识库,以构建用于现代阿拉伯语言的自动语音识别系统。通过在多个上下文中分析这些辅音的声谱图来完成此知识库的获取。

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