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首页> 外文期刊>American journal of applied sciences >Effects of Noises on Fundamental Frequency Extraction using Cepstral Analysis for Thai Dialects
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Effects of Noises on Fundamental Frequency Extraction using Cepstral Analysis for Thai Dialects

机译：噪声对泰国方言倒谱分析对基本频率提取的影响

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摘要

Problem statement: The fundamental frequency (F0) of the human speech corresponds to the vibration frequency of the human vocal chords. To extract the F0 from a speech utterance, one approach is based on the Cepstral analysis. In Thai, there are four main dialects spoken by Thai people residing in four core region including central, north, northeast and south regions. Environmental noises are also playing an important role in corrupting the speech quality. It is needed to study of effects of noises on F0 extraction using the Cepstral analysis for Thai dialects. Approach: The Cepstral analysis is performed and some coefficients are used to determine the corresponding F0 values. Four types of environmental noises are simulated with different levels of power. The differences among the extracted F0 from clean speech and the extracted F0 from noise-corrupted speech are calculated in Root Mean Square (RMS) errors. Results: The selected noises are train, factory, car and air conditioner. Five levels of each type of noise vary from 0-20 dB. From the experimental results, it has been noticed that the effects of noises are different. The lowest effect is of air conditioner, meanwhile the noise level of 0 dB is of the highest effect. Conclusion: By using the Cepstral analysis, F0 values can be extracted from the noise-corrupted speech with different level of effects depending on the type and level of noises.
机译：问题陈述：人类语音的基本频率（F0）对应于人类声带的振动频率。为了从语音中提取F0，一种方法是基于倒谱分析。在泰国，居住在四个核心区域（包括中部，北部，东北和南部地区）的泰国人说四种主要的方言。环境噪声在破坏语音质量方面也起着重要作用。需要使用泰国方言的倒谱分析研究噪声对F0提取的影响。方法：进行倒谱分析，并使用一些系数来确定相应的F0值。模拟了四种具有不同功率水平的环境噪声。以均方根（RMS）误差计算从干净语音中提取的F0和从噪声损坏语音中提取的F0之间的差异。结果：选定的噪声是火车，工厂，汽车和空调。每种噪声的五个级别在0-20 dB之间变化。从实验结果可以看出，噪声的影响是不同的。效果最低的是空调，而0 dB的噪音水平效果最高。结论：通过倒频谱分析，可以从受噪声破坏的语音中提取F0值，具体取决于噪声的类型和级别，从而具有不同的效果级别。

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