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The EPFL - LAI is investigating novel haptic technologies for rendering rich vibrotactile feedback in digital musical interfaces. The main objective is to develop an interactive surface that can render multitouch vibrotactile stimuli. As part of this resea ...
The EPFL-LAI is investigating on haptic technologies to give vibrotactile feedback in digital musical interfaces. The aim is to develop an interactive surface that can render a multi-touch vibrotactile stimulus using piezoelectric actuators. The signals th ...
The EPFL – LAI is investigating novel haptic technologies for rendering rich vibrotactile feedback in digital musical interfaces. The main objective is to develop an interactive surface that is able to render a multi-touch vibrotactile stimulus using piezo ...
Deep learning models have provided extremely successful methods in most application fields by enabling unprecedented accuracy in various tasks. For audio applications, although the massive complexity of generative models allows handling complex temporal st ...
In this paper we present Aligned Scores and Performances (ASAP): a new dataset of 222 digital musical scores aligned with 1068 performances (more than 92 hours) of Western classical piano music.The scores are provided as paired MusicXML files and quantized ...
Differential pulse-width-pair BOTDA technique is combined with bi-directional Raman amplification and Simplex coding to achieve sub-meter spatial resolution over very long sensing distances. Numerical simulations are used to optimize the power levels of th ...
In this article, we introduce a novel approach for monaural source separation with the specific aim to separate a polyphonic musical recording into two main sources: a main instrument (or melody) track and an accompaniment track. To that aim, we propose to ...
The Integrated Actuators Laboratory (LAI) of the Swiss Federal Institute of Technology Lausanne (EPFL) has been developping for several years a force feedback keyboard which is able to imitate the touch of the piano, the harpsichord and the organ. The deve ...
This thesis proposes to analyse symbolic musical data under a statistical viewpoint, using state-of-the-art machine learning techniques. Our main argument is to show that it is possible to design generative models that are able to predict and to generate m ...
The discovery of patterns using a minimal set of assumptions constitutes a central challenge in the modeling of polyphonic music and complex streams in general. Skipgrams have been found to be a powerful model for capturing semi-local dependencies in seque ...
