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[Published in the Proceedings of the ICMC 2000] Abstract Time-scale modification of sounds has been a topic of interest in computer music since its very beginning. Many different techniques both in… Expand
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… Expand
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… Expand
In this paper we will describe an implementation of a score-performance matching, capable of score following, based on a stochastic approach using Hidden Markov Models.
This work evaluates two strategies for predominant fundamental frequency (f0) estimation in the context of melodic transcription from flamenco singing with guitar accompaniment. The first strategy… Expand
Content processing is a vast and growing field that integrates different approaches borrowed from the signal processing, information retrieval and machine learning disciplines. In this article we… Expand
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… Expand
Comunicacio presentada a la International Conference on Digital Audio Effects (DAFx), celebrada els dies 19 a 21 de novembre de 1998 a Barcelona, Espanya.
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 accuracy… Expand
Abstract An investigation on the use of the Finite Strip Method (FSM) to calculate elastic buckling loads of perforated cold formed storage rack columns is presented. Nowadays, this calculation can… Expand