|Table of Contents|

The Design and Implement of Voiceprint Recognition Systemin the Production Environment(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2018年04期
Page:
86-
Research Field:
计算机工程
Publishing date:

Info

Title:
The Design and Implement of Voiceprint Recognition Systemin the Production Environment
Author(s):
Zhang Shu1; Wang Chengqiang1; Li Xiang2; Li Hui2
(1.Business School,Huaihai Institute of Technology,Lianyungang 222005,China)(2.School of Computer Science,Huaihai Institute of Technology,Lianyungang 222005,China)
Keywords:
voiceprint recognition; principle; product; architecture design
PACS:
TP391
DOI:
10.3969/j.issn.1672-1292.2018.04.013
Abstract:
The voiceprint recognition is a kind of technology that can recognize the speaker according to the voiceprint characteristics of the voice to be recognized. The paper illustrates the principal knowledge of voiceprint recognition system,and introduces its system architecture. This system adopts a hierarchical structure and the core business layer is also divided into a business layer and implementation layer. Several functional modules of multiple layers are designed as independent services,thus improving the recognition efficiency of the voiceprint system. Finally,the product design scheme of the system under the actual production environment is given.

References:

[1] 郑凯鹏,周萍,张上鑫,等. 基于倒谱分量的融合参数应用于声纹识别[J]. 微电子学与计算机,2017,34(8):29-32.ZHENG K P,ZHOU P,ZHANG S X,et al. Base on the fusion parameters of cepstrum components used in speaker recognition[J]. Microelectronics & computer,2017,34(8):29-32.(in Chinese)
[2]OMER A E. Joint MFCC-and-vector quantization based text-independent speaker recognition system[C]//International Conference on Communication,Control,Computing and Electronics Engineering. IEEE,2017:1-6.
[3]BOUSSAID L,HASSINE M. Arabic isolated word recognition system using hybrid feature extraction techniques and neural network[J]. International journal of speech technology,2018,21(1):29-37.
[4]DIXIT A,VIDWANS A,SHARMA P. Improved MFCC and LPC algorithm for bundelkhandi isolated digit speech recognition[C]//International Conference on Electrical,Electronics,and Optimization Techniques. IEEE,2016:3755-3759.
[5]AL-THAHAB O Q J. Speech recognition based Radon-Discrete Cosine Transforms by Delta Neural Network learning rule[C]//International Symposium on Fundamentals of Electrical Engineering. IEEE,2017:1-6.
[6]BANERJEE A,DUBEY A,MENON A,et al. Speaker recognition using deep belief networks[EB/OL]. [2018-11-23]. https://arxiv.org/ftp/arxiv/papers/1805/1805.08865.pdf.

Memo

Memo:
-
Last Update: 2018-12-30