关键词: 混合Laplace模型, 语音信号, 最大期望算法, 峰度, 重尾分布

Abstract: For overweight tail characteristics of the speech signal, this paper proposes a mixed-laplace distribution acoustic model. Laplace mixture distribution model parameter estimation is discussed theoretically, and which can be achieved from the principles and algorithms. The maximum expected（Expectation Maximization, EM）algorithm has been applied to obtaining good results. The hybrid Laplace model  has been creatively used to study speech signal processing.

Key words: mixture Laplace model, speech signal, Expectation Maximization（EM）, kurtosis, heavy-tailed distribution