关键词: 关键词检出, 动态时间规整, 音素分割, 插值

Abstract: When dealing with keywords detection without training samples, template matching-based keyword spotting can still be able to spot compared with the traditional method. However, template matching-based method is time-consuming, because it uses frame-by-frame move method to calculate the local minimum distance. The extreme points of the local minimum distance are usually near phoneme segmentation points. A fast template matching method can come out by combining their positions with interpolation idea. By using interpolation to generate the local minimum distance between phoneme segmentation points, this method can greatly reduce the calculation time. When running on the TIMIT and CASIA corpus, the improved method approximately is 2.8 times faster than the conventional template matching-based keyword spotting.

Key words: keyword spotting, Dynamic Time Warping (DTW), phoneme segmentation, interpolation