语音信号的主分量特征

Journal of Applied Sciences ›› 1999, Vol. 17 ›› Issue (4): 427-432.

• Articles • Previous Articles Next Articles

Principal Component Feature for Speech Recognition

HE ZHENYA, GU MINGLIANG, WANG TAIJUN, SHI XIAOXING

Southeast University, Nanjing 210096

Received:1998-03-09 Revised:1998-09-03 Online:1999-12-31 Published:1999-12-31

Abstract

Abstract: Using curve fitting and principal component analysis method,this paper presents a novel ANN-based speech recognition feature.The feature reflects the variation of vocal tract with time.The extraction method simulates the processing of speech information in human auditory system.Compared with other ANN-based recognition features,this new feature not only increase the recognition accuracy but also has following properties:less complex algorithm,less storage memory and easy realization with hard ware.

Key words: principal component analysis, feature extraction, speech recognition, neural network

HE ZHENYA, GU MINGLIANG, WANG TAIJUN, SHI XIAOXING. Principal Component Feature for Speech Recognition[J]. Journal of Applied Sciences, 1999, 17(4): 427-432.

[1]	ZHANG Tongtong, DONG Junyu, ZHAO Haoran, LI Qiong, SUN Xin. Lightweight Phytoplankton Detection Network Based on Knowledge Distillation [J]. Journal of Applied Sciences, 2020, 38(3): 367-376.
[2]	WANG Mengxuan, ZHANG Sheng, WANG Yue, LEI Ting, DU Wen. Research and Application of Improved CRNN Model in Classification of Alarm Texts [J]. Journal of Applied Sciences, 2020, 38(3): 388-400.
[3]	MA Xin, WU Yun, LU Zeguang. Collaborative Filtering Recommendation Model Based on Hybrid Neural Network [J]. Journal of Applied Sciences, 2020, 38(3): 478-487.
[4]	GAO Yifei, HU Yongjian, YU Zeqiong, LIN Yuyi, LIU Beibei. Evaluation and Comparison of Five Popular Fake Face Detection Networks [J]. Journal of Applied Sciences, 2019, 37(5): 590-608.
[5]	LIU Wei, ZHANG Wanling, XIANG Shijun. Face Anti-spoofing Based on LBP, Multilayer DCT and CNN [J]. Journal of Applied Sciences, 2019, 37(5): 609-617.
[6]	WANG Canjun, LIAO Xin, CHEN Jiaxin, QIN Zheng, LIU Xuchong. Research on Facial Modification Detection Algorithm Based on Convolutional Neural Network [J]. Journal of Applied Sciences, 2019, 37(5): 618-630.
[7]	WEI Wei, QUAN Haiyan. Radial Basis Network Training Algorithm Based on Surface-Simplex Swarm Evolution [J]. Journal of Applied Sciences, 2019, 37(4): 459-468.
[8]	JIN Huazhong, LIU Xiaolong, HU Zike. An Image Caption Generation Model Combining Global and Local Features [J]. Journal of Applied Sciences, 2019, 37(4): 501-509.
[9]	WANG Juquan, WANG Wei, MA Huimin, YANG Bo, DU Wen. Urban Passenger Flow Aggregation Risk Forecasting Based on Principal Component Regression Algorithm [J]. Journal of Applied Sciences, 2019, 37(4): 529-540.
[10]	ZHAO Yunshan, DUAN Youxiang. Convolutional Neural Networks Text Classification Model Based on Attention Mechanism [J]. Journal of Applied Sciences, 2019, 37(4): 541-550.
[11]	WANG Jin-wei, XU Chun-hui. Copy-Move Forgery Detection for Color Images Based on QPCA [J]. Journal of Applied Sciences, 2019, 37(2): 291-300.
[12]	YUAN Hong-lin, LU Xiao-dan, XU Chen. Estimation of Broadband Communication Transmitter Fingerprints Based on B-Spline Neural Network [J]. Journal of Applied Sciences, 2019, 37(1): 12-23.
[13]	ZENG Run-hua, ZHANG Shu-qun. Speech and Emotional Recognition Method Based on Improving Convolutional Neural Networks [J]. Journal of Applied Sciences, 2018, 36(5): 837-844.
[14]	JIANG Xue-ying, SU Cheng-li, SHI Hui-yuan, LI Ping, LIU Si-yu. Nonlinear Internal Iterative Predictive Control Using Multi-RBF Neural Network [J]. Journal of Applied Sciences, 2018, 36(4): 698-710.
[15]	DUAN You-xiang, XU Dong-sheng, SUN Qi-feng, LI Yu. Research and Application on DBN for Well Log Interpretation [J]. Journal of Applied Sciences, 2018, 36(4): 689-697.

Principal Component Feature for Speech Recognition

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments