Word boundary detection using pitch variations

V. R. Gadde, J. Srichand
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引用次数: 24

Abstract

This paper proposes a method for detecting word boundaries. This method is based on the behaviour of the pitch frequency across the sentences. The pitch frequency (F 0 ) is found to rise in a word and fall to the next word. The presence of this fall is proposed as a means of detecting word boundaries. Four major Indian languages are used and the results show that nearly 85% of the word boundaries were correctly detected. The same method used for German language shows that nearly 65% of the word boundaries were correctly detected. The implicationsof these result in the development of a continuous speech recognition system are discussed.
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使用音高变化的词边界检测
本文提出了一种检测词边界的方法。这种方法是基于整个句子的音高频率的行为。发现音调频率(f0)在一个单词中上升,在下一个单词中下降。这个落差的存在被提议作为一种检测单词边界的手段。使用了四种主要的印度语言,结果表明,近85%的单词边界被正确检测到。用同样的方法检测德语表明,近65%的单词边界被正确检测出来。讨论了这些结果对开发连续语音识别系统的意义。
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