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Title: Phone Recognition Experiments with 2D-DCT Spectro-Temporal Features
Authors: Kovács, György
Tóth, László
Issue Date: 2011
Host Document: APPLIED COMPUTATIONAL INTELLIGENCE AND INFORMATICS. IEEE INTERNATIONAL SYMPOSIUM. 6TH 2011. (SACI 2011) pages:143-146
Conference: IEEE International Symposium on Applied Computational Intelligence and Informatics edition:6 location:Timisoara date:19-21 May 2011
Abstract: Localized spectro-temporal analysis is a novel feature extraction strategy in speech recognition, which was inspired by neurophysiological findings. Here we perform phone recognition experiments on features that are extracted from the patches of the critical-band log-energy
spectrum by applying the two-dimensional cosine trans-form. We find that in phone recognition experiments the proposed feature set yields results similar to the standard MFCC features under clean conditions, while it provides a significantly smaller performance degradation in noisy
conditions. Moreover, we show that the new and the standard features can be readily combined to improve the recognition accuracy still further.
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Non-KU Leuven Association publications

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