TY - GEN
T1 - Speech recognition of specific two-word Chinese vocabulary by applying Fourier transform twice to the broad-band spectrogram
AU - Pan, Di
AU - Wei, Ying
AU - Liang, Shili
AU - Xu, Tingfa
AU - Wang, Shuangwei
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - This paper illustrates a method to recognize the speech of specific two-word Chinese vocabulary by analyzing speech signals using a broad-band spectrogram after Fourier transform is applied to it twice. First, we analyze the broad-band spectrogram in the frequency domain and its corresponding voice characteristics in detail after applying Fourier transform twice. Then, binary width zoning column projection is carried out in the broad-band spectrogram frequency domain. The projection value is treated as the characteristic value of speech recognition feature and the support vector machine (SVM) is considered as the classifier for recognizing the speech of specific two-word Chinese vocabulary. A total of 1000 voice samples were used in the simulation. The results using this method show a remarkable recognition rate of 93.4%. The proposed method provides a new way for vocabulary recognition.
AB - This paper illustrates a method to recognize the speech of specific two-word Chinese vocabulary by analyzing speech signals using a broad-band spectrogram after Fourier transform is applied to it twice. First, we analyze the broad-band spectrogram in the frequency domain and its corresponding voice characteristics in detail after applying Fourier transform twice. Then, binary width zoning column projection is carried out in the broad-band spectrogram frequency domain. The projection value is treated as the characteristic value of speech recognition feature and the support vector machine (SVM) is considered as the classifier for recognizing the speech of specific two-word Chinese vocabulary. A total of 1000 voice samples were used in the simulation. The results using this method show a remarkable recognition rate of 93.4%. The proposed method provides a new way for vocabulary recognition.
KW - Broad-band spectrogram
KW - Fourier transform twice
KW - Support vector machine (SVM)
UR - http://www.scopus.com/inward/record.url?scp=85048769173&partnerID=8YFLogxK
U2 - 10.1109/EIIS.2017.8298546
DO - 10.1109/EIIS.2017.8298546
M3 - Conference contribution
AN - SCOPUS:85048769173
T3 - 1st International Conference on Electronics Instrumentation and Information Systems, EIIS 2017
SP - 1
EP - 6
BT - 1st International Conference on Electronics Instrumentation and Information Systems, EIIS 2017
A2 - Li, Jun-Bao
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st International Conference on Electronics Instrumentation and Information Systems, EIIS 2017
Y2 - 3 June 2017 through 5 June 2017
ER -
