55 citations · 111 across the 6 of their papers we have counts for
10 papers
Semi-supervised Learning for Singing Synthesis Timbre
Jordi Bonada, Merlijn Blaauw
We propose a semi-supervised singing synthesizer, which is able to learn new voices from audio data only, without any annotations such as phonetic segmentation. Our system is an en…
Deep Learning Based Source Separation Applied To Choir Ensembles
Darius Petermann, Pritish Chandna, Helena Cuesta +2
Choral singing is a widely practiced form of ensemble singing wherein a group of people sing simultaneously in polyphonic harmony. The most commonly practiced setting for choir ens…
Content Based Singing Voice Extraction From a Musical Mixture
Pritish Chandna, Merlijn Blaauw, Jordi Bonada +1
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…
Sequence-to-sequence Singing Synthesis Using the Feed-forward Transformer
Merlijn Blaauw, Jordi Bonada
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…
A Vocoder Based Method For Singing Voice Extraction
Pritish Chandna, Merlijn Blaauw, Jordi Bonada +1
This paper presents a novel method for extracting the vocal track from a musical mixture. The musical mixture consists of a singing voice and a backing track which may comprise of…
WGANSing: A Multi-Voice Singing Voice Synthesizer Based on the Wasserstein-GAN
Pritish Chandna, Merlijn Blaauw, Jordi Bonada +1
We present a deep neural network based singing voice synthesizer, inspired by the Deep Convolutions Generative Adversarial Networks (DCGAN) architecture and optimized using the Was…
Data Efficient Voice Cloning for Neural Singing Synthesis
Merlijn Blaauw, Jordi Bonada, Ryunosuke Daido
There are many use cases in singing synthesis where creating voices from small amounts of data is desirable. In text-to-speech there have been several promising results that apply…
Deep Learning for Singing Processing: Achievements, Challenges and Impact on Singers and Listeners
Emilia Gómez, Merlijn Blaauw, Jordi Bonada +2
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…
A Neural Parametric Singing Synthesizer
Merlijn Blaauw, Jordi Bonada
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 v…
Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering
Dan Stowell, Sašo Muševič, Jordi Bonada +1
Segregating an audio mixture containing multiple simultaneous bird sounds is a challenging task. However, birdsong often contains rapid pitch modulations, and these modulations car…