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

机译:基于语音谱图读数的阿拉伯语二极管辅音识别的基于知识方法

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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:频谱图在信号中显示信号中的能量分布,这两个时间和频率都是。可以获得高性能语音标记的频谱图,而无需使用更高级别的知识来源。本文报告了试图获取关于阿拉伯语二极管辅音的语音知识库,以便为现代阿拉伯语制造自动语音识别系统。通过在多种上下文中分析这些辅音的谱图来完成对此知识库的收购。

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