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Next: Bayesian nonparametric modelling Up: Statistical inference and neural Previous: Inference for non-equilibrium dynamics

Speech recognition

L Khoo, Z Cvetkovic, and P Sollich. Robustness of phoneme classification in different representation spaces. Proceedings of EUSIPCO 2006, Florence, Italy, September 4-8, 2006.
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N Betteridge, Z Cvetkovic and P Sollich. Phoneme classification in frequency subbands using ensemble methods. In 15th International Conference on Digital Signal Processing, pages 511-514, 2007. IEEE.
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M Ager, Z Cvetkovic, P Sollich and J Yousafzai. Robustness of phoneme classification using generative classifiers: Comparison of the acoustic waveform and PLP representations. Technical Report.
Abstract and full paper

J Yousafzai, Z Cvetkovic, P Sollich and M Ager. Robustness of phoneme classification using Support Vector Machines: A comparison between PLP and acoustic waveform representations. Technical Report.
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J Yousafzai, M Ager, Z Cvetkovic and P Sollich. Discriminative and generative machine learning approaches towards robust phoneme classification. In Information Theory and Applications, 2008.
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M Ager, Z Cvetkovic, P Sollich and Bin Yu. Towards robust phoneme classification: Augmentation of PLP models with acoustic waveforms. In Proceedings of European Signal Processing Conference, 2008.
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J Yousafzai, Z Cvetkovic, P Sollich and Bin Yu. Combined PLP-acoustic waveform classification for robust phoneme recognition using Support Vector Machines. In Proceedings of European Signal Processing Conference, 2008.
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M Ager, Z Cvetkovic and P Sollich. Robust phoneme classification: Exploiting the adaptability of acoustic waveform models. In Proceedings of European Signal Processing Conference, 2009.
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J Yousafzai, Z Cvetkovic and P Sollich. Custom-designed SVM kernels for improved robustness of phoneme classification. In Proceedings of European Signal Processing Conference, 2009.
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J Yousafzai, Z Cvetkovic and P Sollich. Tuning Support Vector Machines for robust phoneme classification with acoustic waveforms. In Proceedings of Interspeech 2009: 10th Annual Conference of the International Speech Communication Association, pages 2359-2362, 2009.
Abstract and full paper

M Ager, Z Cvetkovic and P Sollich. High-dimensional linear representations for robust speech recognition. In 2010 Information Theory and Applications Workshop (ITA 2010), pages 1-5, 2010.
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M Ager, Z Cvetkovic and P Sollich. Phoneme classification in linear feature domains. Technical report.
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J Yousafzai, Z Cvetkovic and P Sollich. Towards robust phoneme classification with hybrid features. In 2010 IEEE International Symposium on Information Theory Proceedings (ISIT), pages 1643-1647, 2010.
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J Yousafzai, Z Cvetkovic and P Sollich. Subband acoustic waveform front-end for robust speech recognition using support vector machines. In 2010 IEEE Spoken Language Technology Workshop (SLT), pages 253-258, 2010.
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J Yousafzai, P Sollich, Z Cvetkovic and Bin Yu. Combined features and kernel design for noise robust phoneme classification using Support Vector Machines. IEEE Transactions on Audio, Speech, and Language Processing, 19:1396-1407, 2011.
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J Yousafzai, Z Cvetkovic and P Sollich. On the potential for robust ASR with combined subband-waveform and cepstral features. Technical report.
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M Ager, Z Cvetkovic and P Sollich. Combined waveform-cepstral representation for robust speech recognition. 2011 IEEE International Symposium on Information Theory Proceedings (ISIT), pages 864-868, 2011.
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J K Yousafzai, Z Cvetkovic, P Sollich and M Ager. A high-dimensional subband speech representation and SVM framework for robust speech recognition. Technical report.
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J K Yousafzai, Z Cvetkovic, M Ager and P Sollich. Redundancy in speech signals and robustness of automatic speech recognition. XIII International Symposium on Problems of Redundancy in Information and Control Systems (RED), pages 93-98, 2012.
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J K Yousafzai, Z Cvetkovic and P Sollich. Effects of domain-specific SVM kernel design on the robustness of automatic speech recognition. In DSP2013, Proceedings of 18th International Conference on Digital Signal Processing, 2013.
Abstract and full paper


next up previous
Next: Bayesian nonparametric modelling Up: Statistical inference and neural Previous: Inference for non-equilibrium dynamics
Last updated Mon Oct 17 2016
Contact: Peter Sollich
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