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Automated evaluation of non-native English pronunciation quality: combining knowledge- and data-driven features at multiple time scales.

M. Black, D. Bone, Z. Skordilis, R. Gupta, W. Xia, P. Papadopoulos, S. Chakravarthula, B. Xiao, M. Segbroeck, J. Kim, P. Georgiou, and S. Narayanan. INTERSPEECH, page 493-497. ISCA, (2015)

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Identification of linear systems in canonical form through an EM framework.P. Papadopoulos, and V. Digalakis. ICASSP, page 4110-4113. IEEE, (2010)Global SNR Estimation of Speech Signals for Unknown Noise Conditions Using Noise Adapted Non-Linear Regression.P. Papadopoulos, R. Travadi, and S. Narayanan. INTERSPEECH, page 3842-3846. ISCA, (2017)Privacy-preserving and Trusted Threat Intelligence Sharing using Distributed Ledgers.H. Ali, P. Papadopoulos, J. Ahmad, N. Pitropakis, Z. Jaroucheh, and W. Buchanan. SIN, page 1-6. IEEE, (2021)Noise Aware and Combined Noise Models for Speech Denoising in Unknown Noise Conditions.P. Papadopoulos, C. Vaz, and S. Narayanan. INTERSPEECH, page 2866-2869. ISCA, (2016)Browsers' Private Mode: Is It What We Were Promised?K. Hughes, P. Papadopoulos, N. Pitropakis, A. Smales, J. Ahmad, and W. Buchanan. Comput., 10 (12): 165 (2021)Exploring the Relationship between Conic Affinity of NMF Dictionaries and Speech Enhancement Metrics.P. Papadopoulos, C. Vaz, and S. Narayanan. INTERSPEECH, page 1146-1150. ISCA, (2018)Improving Semi-Supervised Classification for Low-Resource Speech Interaction Applications.M. Kumar, P. Papadopoulos, R. Travadi, D. Bone, and S. Narayanan. ICASSP, page 5149-5153. IEEE, (2018)Ransomware: Analysing the Impact on Windows Active Directory Domain Services.G. McDonald, P. Papadopoulos, N. Pitropakis, J. Ahmad, and W. Buchanan. Sensors, 22 (3): 953 (2022)Pykaldi: A Python Wrapper for Kaldi.D. Can, V. Martinez, P. Papadopoulos, and S. Narayanan. ICASSP, page 5889-5893. IEEE, (2018)Automatic Estimation of Perceived Sincerity from Spoken Language.B. Booth, R. Gupta, P. Papadopoulos, R. Travadi, and S. Narayanan. INTERSPEECH, page 2021-2025. ISCA, (2016)

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Automated evaluation of non-native English pronunciation quality: combining knowledge- and data-driven features at multiple time scales.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Automated evaluation of non-native English pronunciation quality: combining knowledge- and data-driven features at multiple time scales.

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Automated evaluation of non-native English pronunciation quality: combining knowledge- and data-driven features at multiple time scales.