利用人工神经网络从语音查询中分离疑问词识别

2010 Second International conference on Computing, Communication and Networking Technologies Pub Date : 2010-07-29 DOI:10.1109/ICCCNT.2010.5591733

A. Sukumar, A. Shah, P. B. Anto

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引用次数: 16

摘要

信息提取的研究工作大多集中在书面语处理方面，很少有针对口语信息提取的研究。本文讨论了一种从马拉雅拉姆语(南印度语言之一)语音查询中识别孤立疑问词的新技术。我们已经创建并分析了一个由250个孤立的疑问词组成的数据库。使用离散小波变换(DWT)进行特征提取，使用人工神经网络(ANN)进行分类和识别。该实验的识别准确率达到80%

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Isolated question words recognition from speech queries by using Artificial Neural Networks

Most of the research works in Information Extraction focus only on written language processing, in which a few are devoted to the study of Spoken Language Information Extraction. This paper discusses a novel technique for recognition of the isolated question words from Malayalam (one of the south Indian languages) speech query. We have created and analyzed a database consisting of 250 isolated question words. Discrete Wavelet Transform (DWT) is used for the feature extraction purpose and Artificial Neural Network (ANN) is used for classification and recognition. A recognition accuracy of 80% could be achieved from this experiment

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2010 Second International conference on Computing, Communication and Networking Technologies

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