Abstract

This study compares four phone-based spoken document retrieval (SDR) approaches. In all cases, the indexing and retrieval system uses phonetic information only. The first retrieval method is based on the vector space model, using phone 3-grams as indexing terms. This approach is compared with 2 string-matching methods. A fourth method, combining the VSM approach with the slot detection step of stringmatching techniques is proposed. This method is tested on a collection of short German spoken documents, using three different sets of queries: text queries, clean spoken queries and noisy spoken queries.

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