Zero-Crossing Rate Method as an Efficient Tool for Combustion Instability Diagnosis

2020 ◽  
pp. 110340
Author(s):  
Seongpil Joo ◽  
Jongwun Choi ◽  
Namkeun Kim ◽  
Min Chul Lee
Keyword(s):  
Combustion Instability ◽  
Efficient Tool ◽  
Zero Crossing ◽  
Rate Method ◽  
Zero Crossing Rate

The Non-Stationary Characteristic Study of Multidimensional Ground Motion by HHT Method: A Case Study from the Chi-Chi Earthquake

2011 ◽  
Vol 90-93 ◽  
pp. 1490-1497
Author(s):  
Hui Guo Chen ◽  
Ying Min Li ◽  
Shao Qing Shi
Keyword(s):  
Frequency Domain ◽  
Ground Motion ◽  
Quantitative Description ◽  
Frequency Characteristics ◽  
Site Conditions ◽  
Stationary Characteristic ◽  
Zero Crossing ◽  
Rate Method ◽  
Zero Crossing Rate

Based on HHT method, the influences of site conditions and epicenter distance on non-stationarity of multidimensional ground motion were studied. Additionally, preliminary statistics were carried out on frequency characteristics of multidimensional ground motion under different site conditions. The analysis results showed that HHT method was more accurate in a quantitative description of frequency-domain non-stationarity of ground motion than zero-crossing rate method, and also can reflected the non-stationarity of multidimensional ground motion better.

A Proposed Speaker Recognition Method B Based on Long-Term Voice Features and Fuzzy Logic

2021 ◽  
Vol 39 (1B) ◽  
pp. 1-10
Author(s):  
Iman H. Hadi ◽  
Alia K. Abdul-Hassan
Keyword(s):  
Fuzzy Logic ◽  
Speaker Recognition ◽  
Recognition Accuracy ◽  
Inner Product ◽  
Maximum Frequency ◽  
Recognition Method ◽  
Data Set ◽  
Zero Crossing ◽  
Zero Crossing Rate

Speaker recognition depends on specific predefined steps. The most important steps are feature extraction and features matching. In addition, the category of the speaker voice features has an impact on the recognition process. The proposed speaker recognition makes use of biometric (voice) attributes to recognize the identity of the speaker. The long-term features were used such that maximum frequency, pitch and zero crossing rate (ZCR).  In features matching step, the fuzzy inner product was used between feature vectors to compute the matching value between a claimed speaker voice utterance and test voice utterances. The experiments implemented using (ELSDSR) data set. These experiments showed that the recognition accuracy is 100% when using text dependent speaker recognition.

Voice Activity Based on Noise Estimation in Noisy Environments

2012 ◽  
Vol 239-240 ◽  
pp. 409-414
Author(s):  
Shi Lin Liu ◽  
Zheng Pei
Keyword(s):  
Decision Trees ◽  
Noise Level ◽  
Wavelet Decomposition ◽  
Noise Estimation ◽  
Noisy Environments ◽  
Zero Crossing ◽  
Zero Crossing Rate ◽  
Simulation Results ◽  
The One ◽  
Voice Activity

An improved project based on decision trees in noisy environments is proposed for robust endpoints detection. Firstly, the noise level of the environment is estimated by wavelet decomposition, and then whether the denoising process is done according to the noise level is determined. Next, the thresholds are obtained by decision trees for the signal. Finally, endpoints are detected by the double thresholds on different importance of the energy and zero-crossing rate (ZCR) in the corresponding situation. The simulation results indicate that the proposed method based on noise estimation can obtain the same accurate data by computing less than the one with decision trees.

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