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A Neural Parametric Singing Synthesizer Modeling Timbre and Expression from Natural Songs
We recently presented a new model for singing synthesis based on a modified version of the WaveNet architecture. Instead of modeling raw waveform, we model features produced by a parametric vocoderExpand
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WGANSing: A Multi-Voice Singing Voice Synthesizer Based on the Wasserstein-GAN
We present a deep neural network based singing voice synthesizer, inspired by the Deep Convolutions Generative Adversarial Networks (DCGAN) architecture and optimized using the Wasserstein-GANExpand
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Deep Learning for Singing Processing: Achievements, Challenges and Impact on Singers and Listeners
This paper summarizes some recent advances on a set of tasks related to the processing of singing using state-of-the-art deep learning techniques. We discuss their achievements in terms of accuracyExpand
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Modeling and Transforming Speech Using Variational Autoencoders
Comunicacio presentada al Interspeech 2016, celebrat a San Francisco (California, EUA) els dies 8 a 12 de septembre de 2016, i organitzat per la International Speech Communication Association (ISCA).
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A Neural Parametric Singing Synthesizer
We present a new model for singing synthesis based on a modified version of the WaveNet architecture. Instead of modeling raw waveform, we model features produced by a parametric vocoder thatExpand
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Acquisition of Violin instrumental gestures using a Commercial EMF tracking Device
This paper presents a method for the acquisition of violin instrumental gesture parameters by using a commercial two-sensor 3D tracking system based on electro-magnetic field (EMF) sensing. TheExpand
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Sequence-to-Sequence Singing Synthesis Using the Feed-Forward Transformer
  • M. Blaauw, J. Bonada
  • Computer Science, Engineering
  • ICASSP - IEEE International Conference on…
  • 22 October 2019
We propose a sequence-to-sequence singing synthesizer, which avoids the need for training data with pre-aligned phonetic and acoustic features. Rather than the more common approach of a content-basedExpand
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Content Based Singing Voice Extraction from a Musical Mixture
We present a deep learning based methodology for extracting the singing voice signal from a musical mixture based on the underlying linguistic content. Our model follows an encoder-decoderExpand
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