Abstract
Spoken term detection (STD) provides an efficient means for keyword indexing of speech. However, achieving high detection performance, fast speed, detecting out-of-vocabulary (OOV) words and performing STD on low resource languages are some of the major research challenges. This paper, thus, proposed a new method which combines the advantage of DTW-based keyword spotting and test-based keyword spotting. As to the evaluation metrics recall rate and precision rate, the performance of DTW-based method is achieved, which performs faster than traditional DTW-based methods.
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