dc.contributor.author | EhKan, Phaklen | |
dc.contributor.author | Allen, Timothy | |
dc.contributor.author | Quigley, Steven F. | |
dc.date.accessioned | 2011-04-05T03:31:42Z | |
dc.date.available | 2011-04-05T03:31:42Z | |
dc.date.issued | 2011 | |
dc.identifier.citation | International Journal of Reconfigurable Computing, vol. 2011, 2011, pages 1-8 | en_US |
dc.identifier.issn | 1687-7195 | |
dc.identifier.uri | http://www.hindawi.com/journals/ijrc/2011/420369/ | |
dc.identifier.uri | http://dspace.unimap.edu.my/123456789/11509 | |
dc.description | Link to publisher's homepage at http://www.hindawi.com/ | en_US |
dc.description.abstract | In today's society, highly accurate personal identification systems are required. Passwords or pin numbers can be forgotten or forged and are no longer considered to offer a high level of security. The use of biological features, biometrics, is becoming widely accepted as the next level for security systems. Biometric-based speaker identification is a method of identifying persons from their voice. Speaker-specific characteristics exist in speech signals due to different speakers having different resonances of the vocal tract. These differences can be exploited by extracting feature vectors such as Mel-Frequency Cepstral Coefficients (MFCCs) from the speech signal. A well-known statistical modelling process, the Gaussian Mixture Model (GMM), then models the distribution of each speaker's MFCCs in a multidimensional acoustic space. The GMM-based speaker identification system has features that make it promising for hardware acceleration. This paper describes the hardware implementation for classification of a text-independent GMM-based speaker identification system. The aim was to produce a system that can perform simultaneous identification of large numbers of voice streams in real time. This has important potential applications in security and in automated call centre applications. A speedup factor of ninety was achieved compared to a software implementation on a standard PC. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Hindawi Publishing Corporation | en_US |
dc.subject | Field Programmable Gate Array (FPGA) | en_US |
dc.subject | Gaussian Mixture Model (GMM) | en_US |
dc.subject | Personal identification systems | en_US |
dc.subject | Biometric-based speaker identification | en_US |
dc.title | FPGA implementation for GMM-based speaker identification | en_US |
dc.type | Article | en_US |
dc.contributor.url | plen07@yahoo.co.uk | en_US |