Visualitza per autoria "Bonada, Jordi, 1973-"

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  • Bonada, Jordi, 1973-; Celma Herrada, Òscar; Loscos, Àlex; Ortolà, Jaume; Serra, Xavier; Yoshioka, Yasuo; Kayama, Hiraku; Hisaminato, Yuji; Kenmochi, Hideki (International Computer Music Conference, 2001)
    This paper presents an approach to the modeling of the singing voice with a particular emphasis on the naturalness of the resulting synthetic voice. The underlying analysis/synthesis technique is based on the Spectral ...
  • Serra, Xavier; Bonada, Jordi, 1973- (International Conference on Digital Audio Effects, 1998)
    The basic Spectral Modeling Synthesis (SMS) technique models sounds as the sum of sinusoids plus a residual. Though this analysis/synthesis system has proved to be successful in transforming sounds, more powerful and ...
  • Bonada, Jordi, 1973-; Loscos, Àlex; Cano Vila, Pedro; Serra, Xavier; Kenmochi, Hideki (Audio Engineering Society, 2001)
    In this paper we present two different approaches to the modeling of the singing voice. Each of these approaches has been thought to fit in the specific requirements of two applications. These are an automatic voice impersonator ...
  • Amatriain, Xavier; Bonada, Jordi, 1973-; Loscos, Àlex; Serra, Xavier (2001)
    When designing audio effects for music processing, we are always aiming at providing higherlevel representations that may somehow fill in the gap between the signal processing world and the end-user. Spectral models in ...
  • Amatriain, Xavier; Bonada, Jordi, 1973-; Loscos, Àlex; Serra, Xavier (John Wiley & Sons, 2002)
    In the context of this book, we are looking for representations of sound signals and signal processing systems that can give us ways to design sound transformations in a variety of music applications and contexts. It should ...
  • Maestre Gómez, Esteban; Blaauw, Merlijn; Bonada, Jordi, 1973-; Guaus, Enric; Pérez Carrillo, Alfonso Antonio, 1977- (Institute of Electrical and Electronics Engineers (IEEE), 2010)
    Excitation-continuous music instrument control patterns are often not explicitly represented in current sound synthesis techniques when applied to automatic performance. Both physical model-based and sample-based synthesis ...
  • Serra, Xavier; Bonada, Jordi, 1973- (Institute of Electrical and Electronics Engineers (IEEE), 2007)
    This paper introduces the concept of synthesis based on performance sampling. It explains that although sampling has been considered a way to capture and reproduce the sound of an instrument, it should be better considered ...
  • Gómez Gutiérrez, Emilia, 1975-; Bonada, Jordi, 1973- (MIT Press, 2013)
    This article deals with automatic transcription of flamenco music recordings—more specifically, a cappella singing. We first study the specifics of flamenco singing and propose a transcription system based on fundamental ...
  • de Boer, Marteen; Bonada, Jordi, 1973-; Serra, Xavier (International Computer Music Conference, 2000)
    Recently, we have seen an increased use and support of the Sound Description Interchange Format (SDIF), among which the integration of SDIF in widely used environments such as MAX/MSP (Wright, Dudas, Khoury, Wang, Zicarelli, ...
  • Cano Vila, Pedro; Loscos, Àlex; Bonada, Jordi, 1973-; de Boer, Marteen; Serra, Xavier (International Computer Music Conference, 2000)
    In this paper we present a real-time system for morphing two voices in the context of a karaoke application. As the user sings a pre-established song, his pitch, timbre, vibrato and articulation can be modified to resemble ...
  • Nieto Caballero, Oriol (2008-09)
    Extreme Vocal Effects (EVE) in music are so recent that few studies have been carried out about how they are physiologically produced and whether they are harmful or not for the human voice.Voice Transformations in real-time ...
  • Chandna, Pritish; Blaauw, Merlijn; Bonada, Jordi, 1973-; Gómez Gutiérrez, Emilia, 1975- (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    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-GAN algorithm. We use vocoder ...

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