标题：A Novel Speech Endpoint Detection Based on Multiple Complexities and Fuzzy C Means
作者：Wu, Chuanyan; Gao, Rui; Lin, Bentao
作者机构：[Wu, Chuanyan; Gao, Rui] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Shandong, Peoples R China.; [Lin, Bentao] JiNan Semicond Lab, Jinan 25 更多
会议名称：Chinese Automation Congress (CAC)
会议日期：OCT 20-22, 2017
来源：2017 CHINESE AUTOMATION CONGRESS (CAC)
关键词：speech endpoint detection; LZ complexity; C0 complexity; fluctuation; complexity; fuzzy C-means
摘要：Accurate Speech endpoint detection is important for speaker recognition, speech recognition, coding, and transmission and so on. In this paper, a fusion feature is proposed for speech endpoint detection, which utilized zero-crossing rate, Lempel and Ziv complexity (LZC), C-0, complexity and fluctuation complexity to represent the speech signal. In order to classify speech signal and background signal, the fuzzy c-means (ECM) is adopted as the classification. Experiments are carried out with white noise of NOISE-92 database to demonstrate the efficiency of the proposed method. Experimental results show that the proposed method can detect endpoints accurately.