An MFCC‐based text‐independent speaker identification system for access control

An MFCC‐based text‐independent speaker identification system for access control
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一种基于 MFCC 的、与文本无关的说话人识别系统,用于访问控制

DOI:
10.1002/cpe.4255
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发表时间:
2018
期刊:
Concurrency and Computation: Practice and Experience
影响因子:
--
通讯作者:
H. Susanto
H. Susanto
中科院分区:
--
文献类型:
--
作者:
Jung;Fang;Guan;H. Susanto

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近年来,由于生物认证技术具有方便和独特的特点,它被应用于根据一个人说的话和/或句子来识别和认证他/她。在这些技术中,说话人识别是最方便的一种,为广泛的应用提供了一种安全、强的认证解决方案。在本文中,为了保护真实世界的物体,如建筑物,我们开发了一个名为mel频率倒谱系数(MFCC)的访问控制扬声器识别系统(简称MSIAC)的扬声器识别系统,该系统通过首先收集U的语音信号并将信号转换为频域来识别扬声器U。利用基于MFCC的人类听觉滤波模型,将不同频率的能量水平作为U的语音量化特征进行调整。其次,采用高斯混合模型来表示对数特征的分布,作为U的特定声学模型。当一个人(例如x)想要访问受MSIAC保护的真实世界物体时,x的声学模型将与已知人的声学模型进行比较。根据识别结果,MSIAC将决定是否接受或拒绝访问。
In recent years, by merit of convenient and unique features, bio‐authentication techniques have been applied to identify and authenticate a person based on his/her spoken words and/or sentences. Among these techniques, speaker recognition/identification is the most convenient one, providing a secure and strong authentication solution viable for a wide range of applications. In this paper, to safeguard real‐world objects, like buildings, we develop a speaker identification system named mel frequency cepstral coefficients (MFCC)‐based speaker identification system for access control (MSIAC for short), which identifies a speaker U by first collecting U's voice signals and converting the signals to frequency domain. An MFCC‐based human auditory filtering model is utilized to adjust the energy levels of different frequencies as U's voice quantified features. Next, a Gaussian mixture model is employed to represent the distribution of the logarithmic features as U's specific acoustic model. When a person, eg, x, would like to access a real‐world object protected by the MSIAC, x's acoustic model is compared with known‐people's acoustic models. Based on the identification result, the MSIAC will determine whether the access will be accepted or denied.
DOI: 10.1109/89.365379
发表时间: 1995-01-01
期刊: IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING
影响因子: --
作者:
REYNOLDS, DA;ROSE, RC
通讯作者: ROSE, RC