关键词: 说话人识别, 认证系统, 并行计算, Android平台, 梅尔倒谱系数

Abstract:  Rapid advances in smartphone technology spawn a booming mobile commerce, security and authentication issues of mobile commerce based on smartphone platform are also prominent, which has become the key to the further development of mobile commerce. Speaker recognition technology is easy to apply to the existing smart phones, and there are some advantages compared with other cryptographic techniques. Therefore, this paper applies speaker recognition technology in safety and authentication based on Android system, devises a speaker authentication system based on Android platform. Simultaneously, because smart phones are mostly multi-core, and the speaker feature extraction is independent, so in order to improve the efficiency of speaker authentication system, this paper presents a parallel algorithm based on the Android platform. Experiments on the different types of smartphones demonstrate that the Android platform using parallel algorithm can improve the efficiency of the authentication system, thereby improving the user experience of the authentication system.

Key words:  speaker recognition, authentication system, parallel computation, Android platform, Mel Frequency Cepstrum Coefficient（MFCC）