Using latent semantic indexing for morph-based spoken document retrieval

Abstract

Previously, phone-based and word-based approaches have been used for spoken document retrieval. The former suffers from high error rates and the latter from limited vocabulary of the recognizer. Our method relies on unlimited vocabulary continuous speech recognizer that uses morpheme-like units discovered in an unsupervised manner. The morpheme-like units, or “morphs” for short, have been successfully used also as

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Cite this paper

@inproceedings{Turunen2006UsingLS, title={Using latent semantic indexing for morph-based spoken document retrieval}, author={Ville T. Turunen and Mikko Kurimo}, booktitle={INTERSPEECH}, year={2006} }