基于Hilbert包络单通道处理的激励Epoch和语音检测

H. Dasgupta, P. C. Pandey
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引用次数: 0

摘要

提出了一种利用希尔伯特包络对语音信号进行激励历元和语音检测的方法。激励历元检测包括动态范围压缩以减小幅度可变性,希尔伯特包络计算和动态峰值检测以增强激励显著性,以及通过定位最大和子阵列峰值来标记历元。语音检测是基于阈值化的历元间相似度计算作为希尔伯特包络的相邻历元间区间的归一化协方差。总算法延迟小于60ms。该算法对干净语音和电话质量语音的epoch检测和语音检测结果与EGG检测结果吻合较好,检测性能优于早期的检测方法。
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Excitation Epoch and Voicing Detection Using Hilbert Envelope with Single-Pass Processing
A technique is presented for excitation epoch and voicing detection in speech signal using its Hilbert envelope and employing single-pass processing. The excitation epoch detection comprises dynamic range compression for reducing amplitude variability, Hilbert envelope calculation and dynamic peak detection for excitation saliency enhancement, and epoch marking by locating the maximum-sum subarray peaks. The voicing detection is based on thresholding the inter-epoch similarity calculated as the normalized covariance of the adjacent inter-epoch intervals of the Hilbert envelope. The total algorithmic delay is less than 60 ms. The epoch detection and the voicing detection for clean and telephone-quality speech showed a good match with those obtained from the EGG, and the detection performances compared favorably with the earlier techniques.
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