Abstract
In this paper, we present a novel algorithm of speaker-independent continuous Mandarin digits speech-recognition, which is based on the dynamic searching method of high-dimension space vertex cover. It doesn’t need endpoint detecting and segmenting. We construct a coverage area for every class of digits firstly, and then we put every numeric string into these coverage-areas, and the numeric string is recognized directly by the dynamic search method. Finally, there are 32 people in experiment, 16 female and 16 male, and 256 digits all together. All these digits are not learned. The correct recognition result is 218, and error recognition result is 26. Correct recognition rate is 85%
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Cao, W., Pan, X., Wang, S. (2005). The Research of Speaker-Independent Continuous Mandarin Digits Speech- Recognition Based on the Dynamic Search Method of High-Dimension Space Vertex Cover. In: Ribeiro, B., Albrecht, R.F., Dobnikar, A., Pearson, D.W., Steele, N.C. (eds) Adaptive and Natural Computing Algorithms. Springer, Vienna. https://doi.org/10.1007/3-211-27389-1_118
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DOI: https://doi.org/10.1007/3-211-27389-1_118
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-24934-5
Online ISBN: 978-3-211-27389-0
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