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Automatic Arabic digit speech recognition and formant analysis for voicing disordered people

机译:自动为阿拉伯语语音识别和共振峰分析

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In this paper, analysis of speech from voice disordered people is performed from automatic speech recognition (ASR) point of view. Six different types of voicing disorder (pathological voice) are analyzed to show the difficulty of automatically recognizing their corresponding speech. As a case study, Arabic spoken digits are taken as input. The distribution of first four formants of vowel /a/ is extracted to show a significant deviation of formants from the normal speech to disordered speech. Experiment result reveals that current ASR technique is far from reliable performance in case of pathological speech, and thereby we need attention to this.
机译:本文从自动语音识别(ASR)的角度对语音障碍者的语音进行分析。分析了六种不同类型的发声障碍(病理性语音),以显示自动识别其对应语音的难度。作为案例研究,以阿拉伯语语音数字作为输入。提取元音/ a /的前四个共振峰的分布,以显示共振峰从正常语音到无序语音的显着偏离。实验结果表明,当前的ASR技术在发生病理性言语的情况下还不能提供可靠的性能,因此我们需要对此加以注意。

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