Abstract
In this paper, a speech document indexing system and similarity-based document retrieval method has been proposed. K-d tree is used as the index structure and codebooks derived from speech documents present in the database, are used during retrieval of desired document. Each document is represented as a sequence of codebook indices. The longest common subsequence based approach is proposed for retrieving the documents. Proposed retrieval method is evaluated using a speech database of 3 hours recorded by a male speaker and speech queries from 5 male and 5 female speakers. The accuracy of retrieval is found to be about 88% for the queries given by male speakers.
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Singh, P.K.P., Manjunath, K.E., Ravi Kiran, R., Yadav, J., Sreenivasa Rao, K. (2014). Indexing and Retrieval of Speech Documents. In: Kumar Kundu, M., Mohapatra, D., Konar, A., Chakraborty, A. (eds) Advanced Computing, Networking and Informatics- Volume 1. Smart Innovation, Systems and Technologies, vol 27. Springer, Cham. https://doi.org/10.1007/978-3-319-07353-8_3
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DOI: https://doi.org/10.1007/978-3-319-07353-8_3
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07352-1
Online ISBN: 978-3-319-07353-8
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