Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/10101
Title: Paralel model kombinasyonu ve yerel öznitelikler kullanarak gürbüz konuşmacı onaylama
Other Titles: Noise robust speaker verification using paralel model combination and local features
Authors: Tüfekçi, Zekeriya
Issue Date: 2004
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: Interfering noise severely degrades the performance of a speaker verification system. The Parallel Model Combination (PMC) technique is one of the most efficient techniques for dealing with such noise. Another method is to use features local in the frequency domain. Recently, we proposed Mel-Frequency Discrete Wavelet Coefficients (MFDWCs) [1] as speech features local in frequency domain. In this paper, we discuss using PMC along with MFDWC features to take advantage of both noise compensation and local features (MFDWCs) to decrease the effect of noise on verification performance. We evaluate the performance of MFDWCs for various noise types and noise levels. We also compare the performance of these versus MFCCs and both using PMC for dealing with additive noise. The experimental results show significant performance improvements for MFDWCs versus MFCCs after compensating the HMMs using the PMC technique. For example the MFDWCs gave 6.29 points performance improvement on average over MFCCs for 12 dB. This corresponds to 38.33% error reduction.
Description: IEEE 12th Signal Processing and Communications Applications Conference
URI: https://doi.org/10.1109/SIU.2004.1338553
https://hdl.handle.net/11147/10101
ISBN: 0-7803-8318-4
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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