Biblio

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Blaauw, M., & Bonada J. (2017).  A Neural Parametric Singing Synthesizer Modeling Timbre and Expression from Natural Songs. Applied Sciences. 7(12),  Abstract
Blaauw, M., & Bonada J. (2016).  Modeling and Transforming Speech Using Variational Autoencoders. Interspeech. Abstract
application/pdf iconmblaauw_IS2016_VAE.pdf
Blaauw, M. (2003).  The CLAM Framework - An Overview and Considerations for Potential Users. Abstract
Blaauw, M., & Bonada J. (2017).  A Neural Parametric Singing Synthesizer. 18th Annual Conference of the International Speech Communication Association (Interspeech). 1230-1234.
Blaauw, M., Bonada J., & Daido R. (2019).  Data Efficient Voice Cloning for Neural Singing Synthesis. 2019 IEEE International Conference on Acoustics, Speech and Signal Processing.
Bonada, J., Blaauw M., Loscos A., & Kenmochi H. (2006).  Unisong A Choir Singing Synthesizer. Abstract
Bonada, J., Blaauw M., & Loscos A. (2006).  Improvements to a Sample-Concatenation Based Singing Voice Synthesizer. Abstract
Bonada, J., Lachlan, R., & Blaauw M. (2016).  Bird Song Synthesis Based on Hidden Markov Models. Interspeech. 2582-6. Abstract
Bonada, J., & Blaauw M. (2013).  Generation of Growl-Type Voice Qualities by Spectral Morphing. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). Abstract
application/pdf iconicassp2013_growl.pdf
Bonada, J., Umbert M., & Blaauw M. (2016).  Expressive Singing Synthesis Based on Unit Selection for the Singing Synthesis Challenge 2016. Interspeech. Abstract
application/pdf iconinterspeech-singing-challenge.pdf
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Chandna, P., Blaauw M., Bonada J., & Gomez E. (2019).  A Vocoder Based Method For Singing Voice Extraction. 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019). Abstract
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Gomez, E., Blaauw M., Bonada J., Chandna P., & Cuesta H. (2018).  Deep Learning for Singing Processing: Achievements, Challenges and Impact on Singers and Listeners. Keynote speech, 2018 Joint Workshop on Machine Learning for Music. The Federated Artificial Intelligence Meeting (FAIM), a joint workshop program of ICML, IJCAI/ECAI, and AAMAS.
Guaus, E., Bonada J., Maestre E., Pérez A., & Blaauw M. (2009).  Calibration method to measure accurate bow force for real violin performances . (Scavone, G., Ed.).International Computer Music Conference. 251-254. Abstract
Guaus, E., Bonada J., Pérez A., Maestre E., & Blaauw M. (2007).  Measuring the bow pressing force in a real violin performance. International Symposium on Musical Acoustics. Abstract
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Janer, J., Bonada J., & Blaauw M. (2006).  Performance-driven control for sample-based singing voice synthesis. Abstract
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Maestre, E., Blaauw M., Bonada J., Guaus E., & Pérez A. (2010).  Statistical Modeling of Bowing Control applied to Violin Sound Synthesis. IEEE Transactions on Audio, Speech, and Language Processing .
Maestre, E., Bonada J., Blaauw M., Pérez A., & Guaus E. (2007).  Acquisition of violin instrumental gestures using a commercial EMF device. International Computer Music Conference. Abstract
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Pérez, A., Bonada J., Maestre E., Guaus E., & Blaauw M. (2008).  Measuring Violin Sound Radiation for Sound Equalization . Acoustics08. Abstract
Pérez, A., Bonada J., Maestre E., Guaus E., & Blaauw M. (2008).  Score Level Timbre Transformations of Violin Sounds. International Conference on Digital Audio Effects. Abstract
Pérez, A., Bonada J., Maestre E., Guaus E., & Blaauw M. (2007).  Combining Performance Actions with Spectral Models for Violin Sound Transformation. International Congress on Acoustics. Abstract
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Umbert, M., Bonada J., & Blaauw M. (2013).  Systematic Database Creation for Expressive Singing Voice Synthesis Control. 8th ISCA Speech Synthesis Workshop (SSW8). 213-216. Abstract
application/pdf iconUmbertBonadaBlaauwSSW82013.pdf
Umbert, M., Bonada J., & Blaauw M. (2013).  Generating Singing Voice Expression Contours Based on Unit Selection. Stockholm Music Acoustics Conference. 315-320. Abstract
application/pdf iconUmbertBonadaBlaauwSMAC2013.pdf
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