声学矢量提取器的比较研究与改进:多流应用于阿拉伯数字识别

Abdelmajid Lamkadam, M. Karim
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引用次数: 1

摘要

本文首先揭示了语音自动识别中遇到的大部分问题,即语音信号的复杂性和信号处理过程的多样性。为此,对信号处理中的一般概念进行了回顾;之后对提取阶段进行了具体的论述,以便对该领域现有的提取方法进行彻底的审查。下一个任务是保留现有提取器组合的列表,最后开发提取器的重组,目的是对大量提取的声学矢量进行全面处理,以提高阿拉伯数字的识别率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative study and improvement of acoustic vectors extractors: Multiple streams applied to the recognition of Arabic numerals
This paper exposes at the beginning most of the problems encountered in the automatic speech recognition, namely the complexity of speech signal, and the diversity of process of signal processing. For this, a review of general concepts in signal processing is inspected; after it has been specifically addressed the extraction phase, in order to conduct a thorough review of existing extraction methods in this area. The next task is reserved to a list of existing extractor's combinations, and finally an extractor's recombination is developed, with the aim of reaching a full treatment with a considerable amount of extracted vectors acoustic, in order to develop the recognition rate of Arabic numerals.
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