Researcher:
Yağlı, Can

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Master Student

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Can

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Yağlı

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Yağlı, Can

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2011 - 20132

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Researcher Of Publications: search.filters.isAuthorOfPublication.9a41a9db-04aa-449c-9397-c85f86b5d645

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    Artificial bandwidth extension of spectral envelope with temporal clustering
    (IEEE, 2011) Department of Computer Engineering; N/A; Erzin, Engin; Yağlı, Can; Faculty Member; Master Student; Department of Computer Engineering; College of Engineering; Graduate School of Sciences and Engineering; 34503; N/A
    We present a new wideband spectral envelope estimation framework for the artificial bandwidth extension problem. The proposed framework builds temporal clusters of the joint sub-phone patterns of the narrowband and wideband speech signals using a parallel branch HMM structure. The joint sub-phone patterns define temporally correlated neighborhoods, in which a linear prediction filter estimates spectral features of the corresponding wideband signal from the narrowband signal. The proposed framework is compared to a benchmark vector quantization based artificial bandwidth extension algorithm. Performance evaluations are performed with three distinct objective metrics and a subjective A/B test. © 2011 IEEE.
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    PublicationOpen Access
    Artificial bandwidth extension of spectral envelope along a Viterbi path
    (Elsevier, 2013) Department of Computer Engineering; Yağlı, Can; Turan, Mehmet Ali Tuğtekin; Erzin, Engin; Master Student; Faculty Member; Department of Computer Engineering; College of Engineering; N/A; N/A; 34503
    In this paper, we propose a hidden Markov model (HMM)-based wideband spectral envelope estimation method for the artificial bandwidth extension problem. The proposed HMM-based estimator decodes an optimal Viterbi path based on the temporal contour of the narrowband spectral envelope and then performs the minimum mean square error (MMSE) estimation of the wideband spectral envelope on this path. Experimental evaluations are performed to compare the proposed estimator to the state-of-the-art HMM and Gaussian mixture model based estimators using both objective and subjective evaluations. Objective evaluations are performed with the log-spectral distortion (LSD) and the wideband perceptual evaluation of speech quality (PESQ) metrics. Subjective evaluations are performed with the A/B pair comparison listening test. Both objective and subjective evaluations yield that the proposed wideband spectral envelope estimator consistently improves performances over the state-of-the-art estimators. (C) 2012 Elsevier B.V. All rights reserved.