Browsing by Author "Bonada, Jordi, 1973-"

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  • A neural parametric singing synthesizer
    Blaauw, Merlijn; Bonada, Jordi, 1973- (International Speech Communication Association (ISCA), 2017)
    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 that separates the influence of ...
  • A neural parametric singing synthesizer modeling timbre and expression from natural songs
    Blaauw, Merlijn; Bonada, Jordi, 1973- (MDPI, 2017)
    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 vocoder that separates the ...
  • A Vocoder based method for singing voice extraction
    Chandna, Pritish; Blaauw, Merlijn; Bonada, Jordi, 1973-; Gómez Gutiérrez, Emilia, 1975- (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    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 various instruments. We use a convolutional ...
  • An Analysis/synthesis framework for automatic F0 annotation of multitrack datasets
    Salamon, Justin; Bittner, Rachel M.; Bonada, Jordi, 1973-; Bosch, Juan J.; Gómez Gutiérrez, Emilia, 1975-; Bello, Juan Pablo (International Society for Music Information Retrieval (ISMIR), 2017)
    Generating continuous f0 annotations for tasks such as melody extraction and multiple f0 estimation typically involves running a monophonic pitch tracker on each track of a multitrack recording and manually correcting ...
  • Applying spectral normalisation and efficient envelope estimation and statistical transformation for the voice conversion challenge 2016
    Villavicencio, Fernando; Yamagishi, Junichi; Bonada, Jordi, 1973-; Espic, Felipe (International Speech Communication Association (ISCA), 2016)
    In this work we present our entry for the Voice Conversion Challenge 2016, denoting new features to previous work on GMM-based voice conversion. We incorporate frequency warping and pitch transposition strategies to perform ...
  • Bird song synthesis based on hidden Markov models
    Bonada, Jordi, 1973-; Lachlan, Robert; Blaauw, Merlijn (International Speech Communication Association (ISCA), 2016)
    This paper focuses on the synthesis of bird songs using Hidden Markov Models (HMM). This technique has been widely used for speech modeling and synthesis. However, features and contextual factors typically used for human ...
  • Content based singing voice extraction from a musical mixture
    Chandna, Pritish; Blaauw, Merlijn; Bonada, Jordi, 1973-; Gómez Gutiérrez, Emilia, 1975- (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    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-decoder architecture and takes as input ...
  • Content processing of music audio signals
    Gouyon, Fabien; Herrera Boyer, Perfecto, 1964-; Gómez Gutiérrez, Emilia, 1975-; Cano Vila, Pedro; Bonada, Jordi, 1973-; Loscos, Àlex; Amatriain, Xavier; Serra, Xavier (Logos Verlag, 2008)
    In this chapter, we provide an overview of state-of-the-art algorithms for the automatic description of music audio signals, both from a low-level perspective (focusing on signal characteristics) and a more musical perspective ...
  • Content-based transformations
    Amatriain, Xavier; Bonada, Jordi, 1973-; Loscos, Àlex; Arcos, Josep Lluís; Verfaille, Vincent (Taylor & Francis, 2003)
    Content processing is a vast and growing field that integratesdifferent approaches borrowed from the signal processing,information retrieval and machine learning disciplines. Inthis article we deal with a ...
  • Data efficient voice cloning for neural singing synthesis
    Blaauw, Merlijn; Bonada, Jordi, 1973-; Daido, Ryunosuke (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    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 voice cloning techniques to modern deep ...
  • Deep learning based source separation applied to choir ensembles
    Petermann, Darius; Chandna, Pritish; Cuesta, Helena; Bonada, Jordi, 1973-; Gómez Gutiérrez, Emilia, 1975- (International Society for Music Information Retrieval (ISMIR), 2020)
    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 ensembles consists of four parts; Soprano, ...
  • Expression control in singing voice synthesis: features, approaches, evaluation, and challenges
    Umbert Morist, Martí; Bonada, Jordi, 1973-; Goto, Masataka; Nakano, Tomoyasu; Sundberg, Johan (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    In the context of singing voice synthesis, expression control manipulates a set of voice features related to a particular emotion, style, or singer. Also known as performance modeling, it has been approached from different ...
  • Expressive singing synthesis based on unit selection for the singing synthesis challenge 2016
    Bonada, Jordi, 1973-; Umbert Morist, Martí; Blaauw, Merlijn (International Speech Communication Association (ISCA), 2016)
    Sample and statistically based singing synthesizers typically require a large amount of data for automatically generating expressive synthetic performances. In this paper we present a singing synthesizer that using two ...
  • Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering
    Stowell, Dan; Muševič, Sašo; Bonada, Jordi, 1973-; Plumbley, Mark D. (Institute of Electrical and Electronics Engineers (IEEE), 2013)
    Segregating an audio mixture containing multiple simultaneous bird sounds is a challenging task. However, birdsong often contains rapid pitch modulations, and these modulations carry information which may be of use in ...
  • Integrating complementary spectral models in the design of a musical synthesizer
    Serra, Xavier; Bonada, Jordi, 1973-; Herrera Boyer, Perfecto, 1964-; Loureiro, Ramon (International Computer Music Conference, 1997)
    Spectral based analysis/synthesis techniques offer powerful tools for the processing of sounds. They include many different approaches, each one with its own advantages and set of compromises. In the design of a general ...
  • Method for measuring violin sound radiation based on bowed glissandi and its application to sound synthesis
    Pérez Carrillo, Alfonso Antonio, 1977-; Bonada, Jordi, 1973-; Pätynen, Jukka; Välimäki, Vesa (National Research Council Canada Research Press, 2011)
    This work presents a method for measuring and computing violin-body directional frequency responses, which are used for violin sound synthesis. The approach is based on a frame-weighted deconvolution of excitation and ...
  • METRIX: A musical data definition language and data structure for a spectral modeling based synthesizer
    Amatriain, Xavier; Bonada, Jordi, 1973-; Serra, Xavier (International Conference on Digital Audio Effects, 1998)
    Since the MIDI 1.0 specification, well over 15 years ago, many have been the attempts to give a solution to all the limitations that soon became clear. None of these have had a happy ending, mainly due to commercial interests ...
  • Modeling and transforming speech using variational autoencoders
    Blaauw, Merlijn; Bonada, Jordi, 1973- (International Speech Communication Association (ISCA), 2016)
    Latent generative models can learn higher-level underlying factors from complex data in an unsupervised manner. Such models can be used in a wide range of speech processing applications, including synthesis, transformation ...
  • Sequence-to-sequence singing synthesis using the feed-forward transformer
    Blaauw, Merlijn; Bonada, Jordi, 1973- (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    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-based attention mechanism ...
  • Singing voice impersonator application for PC
    de Boer, Marteen; Bonada, Jordi, 1973-; Cano Vila, Pedro; Loscos, Àlex; Serra, Xavier (International Computer Music Conference, 2000)
    This paper presents the implementation aspects of a real-time system for morphing two voices in the context of a karaoke application. It describes the software design and implementation under a PC platform and it discusses ...

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