Speech recognition based on zero crossing rate and energy

1985 ◽  
Vol 33 (1) ◽  
pp. 320-323 ◽  
Author(s):  
Yiu-Kei Lau ◽  
Chok-Ki Chan
Keyword(s):  
Speech Recognition ◽  
Zero Crossing ◽  
Zero Crossing Rate

scholarly journals Research on Speech Recognition Method in Multi Layer Perceptual Network Environment

2021 ◽  
Vol 15 ◽  
pp. 996-1004
Author(s):  
Kai Zhao ◽  
Dan Wang
Keyword(s):  
Speech Recognition ◽  
Speech Signal ◽  
Recognition Performance ◽  
Recognition Rate ◽  
Average Energy ◽  
Signal Recognition ◽  
Network Environment ◽  
Recognition Method ◽  
Zero Crossing ◽  
Zero Crossing Rate

Aiming at the problem of low recognition rate in speech recognition methods, a speech recognition method in multi-layer perceptual network environment is proposed. In the multi-layer perceptual network environment, the speech signal is processed in the filter by using the transfer function of the filter. According to the framing process, the speech signal is windowed and framing processed to remove the silence segment of the speech signal. At the same time, the average energy of the speech signal is calculated and the zero crossing rate is calculated to extract the characteristics of the speech signal. By analyzing the principle of speech signal recognition, the process of speech recognition is designed, and the speech recognition in multi-layer perceptual network environment is realized. The experimental results show that the speech recognition method designed in this paper has good speech recognition performance

scholarly journals Enhancement Electronic evaluation for Semantic Arabic Oral Exam

2015 ◽  
Vol 14 (4) ◽  
pp. 5607-5615
Author(s):  
Eman Karam Elsayed
Keyword(s):  
Speech Recognition ◽  
Learning Disability ◽  
Automatic Speech Recognition ◽  
Semantic Analysis ◽  
Arabic Language ◽  
Oral Exam ◽  
Zero Crossing ◽  
Zero Crossing Rate

From the importance of knowledge in the speech, we knew the importance of oral exam. So in this paper we integrated BOW (Bag of Word), LSA(Latin Semantic Analysis), ASR (automatic speech recognition), zero crossing rate, and Ontology based approach to automate the online oral exam especially in Arabic language with take into consideration the authentication problem. Our proposal method faced many challenges in Arabic language because there isn't semantic dictionary like WordNet in English and HowNet in Chinese. Also Arabic language has complicated synonyms. Our proposal can help improving meaningfulness. Finally, the proposed method in this paper didn't forget automation the feedback for determining learning disability

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.

scholarly journals Improvement of Speech Recognition with Zero-Crossing in Patients with Sensorineural Hearing Loss.

1995 ◽  
Vol 88 (7) ◽  
pp. 851-855
Author(s):  
Koji MIYATA ◽  
Kazuhiko SHOJI ◽  
Hisayoshi KOJIMA ◽  
Shigeru HIRANO ◽  
Shogo SHINHOARA ◽  
...  
Keyword(s):  
Hearing Loss ◽  
Speech Recognition ◽  
Sensorineural Hearing Loss ◽  
Sensorineural Hearing ◽  
Zero Crossing

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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