scholarly journals Speaker Identification for Business-Card-Type Sensors

Author(s):  
Shunpei Yamaguchi ◽  
Ritsuko Oshima ◽  
Jun Oshima ◽  
Ryota Shiina ◽  
Takuya Fujihashi ◽  
...  
Author(s):  
Shunpei Yamaguchi ◽  
Ritsuko Oshima ◽  
Jun Oshima ◽  
Takuya Fujihashi ◽  
Shunsuke Saruwatari ◽  
...  

2020 ◽  
pp. 65-72
Author(s):  
V. V. Savchenko ◽  
A. V. Savchenko

This paper is devoted to the presence of distortions in a speech signal transmitted over a communication channel to a biometric system during voice-based remote identification. We propose to preliminary correct the frequency spectrum of the received signal based on the pre-distortion principle. Taking into account a priori uncertainty, a new information indicator of speech signal distortions and a method for measuring it in conditions of small samples of observations are proposed. An example of fast practical implementation of the method based on a parametric spectral analysis algorithm is considered. Experimental results of our approach are provided for three different versions of communication channel. It is shown that the usage of the proposed method makes it possible to transform the initially distorted speech signal into compliance on the registered voice template by using acceptable information discrimination criterion. It is demonstrated that our approach may be used in existing biometric systems and technologies of speaker identification.


2015 ◽  
Vol 22 (1) ◽  
pp. 57-78 ◽  
Author(s):  
Peggy P.K. Mok ◽  
Robert Bo Xu ◽  
Donghui Zuo

Author(s):  
A. Nagesh

The feature vectors of speaker identification system plays a crucial role in the overall performance of the system. There are many new feature vectors extraction methods based on MFCC, but ultimately we want to maximize the performance of SID system.  The objective of this paper to derive Gammatone Frequency Cepstral Coefficients (GFCC) based a new set of feature vectors using Gaussian Mixer model (GMM) for speaker identification. The MFCC are the default feature vectors for speaker recognition, but they are not very robust at the presence of additive noise. The GFCC features in recent studies have shown very good robustness against noise and acoustic change. The main idea is  GFCC features based on GMM feature extraction is to improve the overall speaker identification performance in low signal to noise ratio (SNR) conditions.


2017 ◽  
Vol 9 (1) ◽  
pp. 25-32
Author(s):  
Nandi Syukri ◽  
Eko Budi Setiawan

Business Card is the most efficient, effective and appropriate tool for every business men no matter they are owners, employees, more over marketers to provide information about their businesses. Unfortunately, it is very difficult to bring and manage business card in large numbers also to remember the face of the business card owner. A Business Card application need to be built to solve all those issues mentioned above. The Application or software must be run in media which can be accessed anywhere and anytime such as smart phone. Kuartu is as business card application run in mobile devices. Kuartu is developed using object base modeling for mobile sub system. The platform of the mobile sub system is android, as it is the most widely used platform in the world. The Kuartu application utilizing NFC and QR Code technology to support the business card information exchange and the Chatting feature for communication. Based on the experiment and test using black box methodology, it can be concluded that Kuartu application makes business card owner to communicate each other easily, business card always carried, easy to manage the cards and information of the business card owner can be easily obtained. Index Terms— Business Card, Android, Kuartu, NFC, QrCode, Chatting.


2002 ◽  
Vol 9C (4) ◽  
pp. 459-466
Author(s):  
Dae-Jong Lee ◽  
Geun-Chang Gwak ◽  
Jeong-Ung Yu ◽  
Myeong-Geun Jeon

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