Channel compensation

This thesis attempts to address the problem of how best to remedy different types of channel distortions on speech when that speech is to be used in automatic speaker recognition and verification systems. Automatic speaker recognition is when a person's voice is analysed by a machine and the person's identity is worked out by the comparison of speech features to a known set of speech features. Automatic speaker verification is when a person claims an identity and the machine determines if that claimed identity is correct or whether that person is an impostor.

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EURASIP Journal on Applied Signal Processing 2003:9, 922–929 c 2003 Hindawi Publishing Corporation Channel Effect Compensation in LSF Domain An-Tze Yu Department of Computer Science, National Chubei Senior High School, Chubei, Hsinchu, Taiwan 302, Taiwan Email: yuat@cpshs.hcc.edu.tw Hsiao-Chuan Wang Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan 300, Taiwan Email: hcwang@ee.nthu.edu.tw Received 15 April 2003 and in revised form 9 May 2003 This study addresses the problem of channel effect in the line spectrum frequency (LSF) domain.

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Software Component Characteristics This chapter addresses the structure and function of low-level software components. These include algorithms, modules (e.g., Ada packages, C++ objects), and APIs. The perspective is bottom-up, with the emphasis on computational complexity. Low-level algorithms may be simple at first, but complexity can increase over time. The increases in complexity can occur with research advances. Measures taken to compensate for a performance problem in one area (e.g., noisy voice channel) can increase complexity of an algorithm (e.g.

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