基于自适应语言模型的独立说话人语音识别实现

2013 International Symposium on Computational and Business Intelligence Pub Date : 2013-08-24 DOI:10.1109/ISCBI.2013.9

Anukriti, Sushant Tiwari, T. Chatterjee, M. Bhattacharya

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引用次数: 3

摘要

语音识别系统是实现协议和代码的方法，使机器能够以输入的形式接收声波，对其进行解释并制定所需的输出。在本文中，提出了一种方法，建立了一个语音识别系统，可以解释在任何语言(印地语和孟加拉语测试)，并在Windows 7平台上实现它可以是独立的说话者，即语音识别不考虑任何随机说话者。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Speaker Independent Speech Recognition Implementation with Adaptive Language Models

Speech recognition system is the method of implementing protocols and codes to enable a machine to take sound waves in the form of input, interpret it and formulate the desired output. In this paper, a method has been proposed to build up a speech recognition system which could interpret in any language (tested with Hindi and Bengali language) and implement it on Windows 7 platform which could be speaker independent i.e. recognition of voice irrespective of any random speaker.

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2013 International Symposium on Computational and Business Intelligence

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