论文标题
使用多级混合过滤器的语音分割
Speech segmentation using multilevel hybrid filters
论文作者
论文摘要
基于多级混合（平均/分钟）过滤器（MHF），提出了一种新的语音分割方法，具有以下特征：准确的过渡位置。在嘈杂的环境中表现良好（高斯和冲动噪音）。提出的方法基于光谱变化，其目的是将声音分为均匀的声学段。该算法用于语音分割的语音编码器，并取得成功。
A novel approach for speech segmentation is proposed, based on Multilevel Hybrid (mean/min) Filters (MHF) with the following features: An accurate transition location. Good performance in noisy environments (gaussian and impulsive noise). The proposed method is based on spectral changes, with the goal of segmenting the voice into homogeneous acoustic segments. This algorithm is being used for phoneticallysegmented speech coder, with successful results.
