在语音听辨阶段，研究者针对听辨过程中需要解决的切分和恒定问题提出了模糊逻辑模型和跟踪模型。

In order to solve the problems of segmentation and invariance, researchers put forward fuzzy logical model of perception and trace model.

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本文探讨了基于时域的语音切分算法，在前人研究的基础上，提出一种改进算法——自适应、前后搜索和检测短时脉冲噪音算法。

This paper researches on speech detection algorithm based on time domain, and describes an adaptive, both forwards and backwards search, detecting short-term pulse noise algorithm.

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若能把连续大词汇量的语音进行实时自动切分为单个音节，便可提高系统的识别率。

If speech sound of continuous large vocabulary can be automatically divided into segments of single syllable, the recognition ratio of system can be raised.

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