The Centre for Speech Technology Research, The university of Edinburgh

Publications by Cassia Valentini-Botinhao

[1] C. Valentini-Botinhao and M. Wester. Using linguistic predictability and the Lombard effect to increase the intelligibility of synthetic speech in noise. In Proc. Interspeech, pages 2063-2067, Singapore, September 2014. [ bib | .pdf | Abstract ]
[2] L.-H. Chen, T. Raitio, C. Valentini-Botinhao, J. Yamagishi, and Z.-H. Ling. DNN-Based Stochastic Postfilter for HMM-Based Speech Synthesis. In Proc. Interspeech, pages 1954-1958, Singapore, September 2014. [ bib | .pdf | Abstract ]
[3] C. Valentini-Botinhao, M. Toman, M. Pucher, D. Schabus, and J. Yamagishi. Intelligibility Analysis of Fast Synthesized Speech. In Proc. Interspeech, pages 2922-2926, Singapore, September 2014. [ bib | .pdf | Abstract ]
[4] C. Valentini-Botinhao, J. Yamagishi, S. King, and R. Maia. Intelligibility enhancement of HMM-generated speech in additive noise by modifying mel cepstral coefficients to increase the glimpse proportion. Computer Speech and Language, 28(2):665-686, 2014. [ bib | DOI | .pdf | Abstract ]
[5] C. Valentini-Botinhao, J. Yamagishi, S. King, and Y. Stylianou. Combining perceptually-motivated spectral shaping with loudness and duration modification for intelligibility enhancement of HMM-based synthetic speech in noise. In Proc. Interspeech, Lyon, France, August 2013. [ bib | .pdf ]
[6] M. Cooke, C. Mayo, and C. Valentini-Botinhao. Intelligibility-enhancing speech modifications: the Hurricane Challenge. In Proc. Interspeech, Lyon, France, August 2013. [ bib | .pdf ]
[7] Cassia Valentini-Botinhao, Mirjam Wester, Junichi Yamagishi, and Simon King. Using neighbourhood density and selective SNR boosting to increase the intelligibility of synthetic speech in noise. In 8th ISCA Workshop on Speech Synthesis, pages 133-138, Barcelona, Spain, August 2013. [ bib | .pdf | Abstract ]
[8] C. Valentini-Botinhao, E. Godoy, Y. Stylianou, B. Sauert, S. King, and J. Yamagishi. Improving intelligibility in noise of HMM-generated speech via noise-dependent and -independent methods. In Proc. ICASSP, Vancouver, Canada, May 2013. [ bib | .pdf ]
[9] Cassia Valentini-Botinhao. Intelligibility enhancement of synthetic speech in noise. PhD thesis, University of Edinburgh, 2013. [ bib | .pdf | Abstract ]
[10] Y. Tang, M. Cooke, and C. Valentini-Botinhao. A distortion-weighted glimpse-based intelligibility metric for modified and synthetic speech. In Proc. SPIN, 2013. [ bib | .pdf ]
[11] M. Cooke, C. Mayo, C. Valentini-Botinhao, Y. Stylianou, B. Sauert, and Y. Tang. Evaluating the intelligibility benefit of speech modifications in known noise conditions. Speech Communication, 55:572-585, 2013. [ bib | .pdf | Abstract ]
[12] C. Valentini-Botinhao, J. Yamagishi, and S. King. Evaluating speech intelligibility enhancement for HMM-based synthetic speech in noise. In Proc. Sapa Workshop, Portland, USA, September 2012. [ bib | .pdf | Abstract ]
[13] C. Valentini-Botinhao, S. Degenkolb-Weyers, A. Maier, E. Noeth, U. Eysholdt, and T. Bocklet. Automatic detection of sigmatism in children. In Proc. WOCCI, Portland, USA, September 2012. [ bib | .pdf | Abstract ]
[14] C. Valentini-Botinhao, J. Yamagishi, and S. King. Mel cepstral coefficient modification based on the Glimpse Proportion measure for improving the intelligibility of HMM-generated synthetic speech in noise. In Proc. Interspeech, Portland, USA, September 2012. [ bib | Abstract ]
[15] C. Valentini-Botinhao, J. Yamagishi, and S. King. Using an intelligibility measure to create noise robust cepstral coef´Čücients for HMM-based speech synthesis. In Proc. LISTA Workshop, Edinburgh, UK, May 2012. [ bib | .pdf ]
[16] C. Valentini-Botinhao, R. Maia, J. Yamagishi, S. King, and H. Zen. Cepstral analysis based on the Glimpse proportion measure for improving the intelligibility of HMM-based synthetic speech in noise. In Proc. ICASSP, pages 3997-4000, Kyoto, Japan, March 2012. [ bib | DOI | .pdf | Abstract ]
[17] Cassia Valentini-Botinhao, Junichi Yamagishi, and Simon King. Can objective measures predict the intelligibility of modified HMM-based synthetic speech in noise? In Proc. Interspeech, August 2011. [ bib | .pdf | Abstract ]
[18] Cassia Valentini-Botinhao, Junichi Yamagishi, and Simon King. Evaluation of objective measures for intelligibility prediction of HMM-based synthetic speech in noise. In Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on, pages 5112-5115, May 2011. [ bib | DOI | .pdf | Abstract ]