Biblio

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2016
Villavicencio, F., Yamagishi J., Bonada J., & Espic F. (2016).  Applying Spectral Normalisation and Efficient Envelope Estimation and Statistical Transformation for the Voice Conversion Challenge 2016. Interspeech. 1657-61. Abstract
2015
Villavicencio, F., Bonada J., & Hisaminato Y. (2015).  Observation-Model Error Compensation for Enhanced Spectral Envelope Transformation in Voice Conversion. IEEE International Workshop on Machine Learning for Signal Processing. Abstract
Villavicencio, F., Bonada J., Yamagishi J., & Pucher M. (2015).  Efficient Pitch Estimation on Natural Opera-Singing by a Spectral Correlation based Strategy. SIG Technical Reports.
application/pdf iconEfficient_Pitch_Estimation_on_Natural_Op.pdf
2010
Villavicencio, F., & Bonada J. (2010).  Applying Voice Conversion To Concatenative Singing-Voice Synthesis. Interspeech. 2162-2165. Abstract
Coleman, G., & Villavicencio F. (2010).  Predicting Transformed Audio Descriptors: A System Design and Evaluation. Workshop on Machine Learning and Music (ACM Multimedia 2010). Abstract
application/pdf iconmml10.pdf
2009
Villavicencio, F., Röbel A., & Rodet X. (2009).  Applying Improved Spectral Modeling for High Quality Voice Conversion . (Signal Processing Society, Ed.).ICASSP 2009. Abstract
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