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In this study, we present a pre-filtering method for dynamic time warping (DTW) to improve the efficiency of a posteriorgram based keyword search (KWS) system. The ultimate aim is to improve the performance of a large vocabulary continuous speech recognition (LVCSR) based KWS system using the posteriorgram based KWS
In this work, keyword search (KWS) is based on a symbolic index that uses posteriorgram representation of the speech data. For each query, sum-to-one normalization or keyword specific thresholding is applied to the search results. The effect of these methods on the proposed KWS system is investigated. Results are
generally have problems on keyword-search problem. In this paper, we proposed an initial model to solve the problem by using Case-Based Reasoning (CBR) and Formal Concept Analysis (FCA). For the proposed model, a case base is created to represent design patterns. FCA is used to be case organization that analyze case base for
In this paper, we propose a partial sequence matching based symbolic search (SS) method for the task of language independent query-by-example spoken term detection. One main drawback of conventional SS approach is the high miss rate for long queries. This is due to high variations in symbol representation of query and search audios, especially in language independent scenario. The successful matching...
mis-recognition of sub-units. To solve the problem of OOV keywords and mis-recognized words, we used individual syllables as sub-word unit in continuous speech recognition and an n-gram sequence of syllables as a retrieval unit. We propose an n-gram indexing/retrieval method with distance in a syllable lattice for
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