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Deep Learning Approaches for Auditory Perception in Robotics

Publications associées (213)

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Hierarchical Neural Networks Feature Extraction for LVCSR system

Hynek Hermansky, Fabio Valente

This paper investigates the use of a hierarchy of Neural Networks for performing data driven feature extraction. Two different hierarchical structures based on long and short temporal context are considered. Features are tested on two different LVCSR syste ...

IDIAP2007

Ensembles for sequence learning

Christos Dimitrakakis

This thesis explores the application of ensemble methods to sequential learning tasks. The focus is on the development and the critical examination of new methods or novel applications of existing methods, with emphasis on supervised and reinforcement lear ...

EPFL2007

Distributed Coverage: From Deterministic to Probabilistic Models

Alcherio Martinoli, Nicolaus Correll

For the multi-robot coverage problem determin- istic deliberative as well as probabilistic approaches have been proposed. Whereas deterministic approaches usually provide provable completeness and promise good performance under perfect conditions, probabil ...

2007

Learning of Gestures by Imitation in a Humanoid Robot

Aude Billard, Sylvain Calinon

In this chapter, we explore the issue of encoding, recognizing, generalizing and reproducing arbitrary gestures. We address one major and generic issue, namely how to discover the essence of a gesture, i.e. how to find a representation of the data that enc ...

Cambridge University Press2007

Calibration of high-precision flexure parallel robots

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Over the last decades, calibration techniques have been widely used in robotics since they represent a cost-effective solution for improving the accuracy of robots and machine-tools. They only involve software modification without the necessity of revising ...

EPFL2007

Multi-Robot Learning with Particle Swarm Optimization

Alcherio Martinoli, James Pugh

We apply an adapted version of Particle Swarm Optimization to distributed unsupervised robotic learning in groups of robots with only local information. The performance of the learning technique for a simple task is compared across robot groups of various ...

2006

Ensembles for Sequence Learning

Christos Dimitrakakis

École Polytechnique Fédérale de Lausanne2006

PocketFactory : a modular and miniature assembly chain including a clean environment

Reymond Clavel, Irène Verettas

The manipulation and assembly of microsystems (MEMS) require accurate robots operating in a clean room environment. Available systems require usually large ground surface for small components and are bulky. Furthermore it is difficult to move it to another ...

2006

Non-Invasive Brain Computer Interface for Mental Control of a Simulated Wheelchair

José del Rocio Millán Ruiz, Eileen Lew Yi Lee, Anna Buttfield, Pierre Ferrez

This poster presents results obtained from experiments of driving a brain-actuated simulated wheelchair that incorporates the shared-control intelligence method. The simulated wheelchair is controlled offline using band power features. The task is to drive ...

2006

Multi-stream ASR: Oracle Test and Embedded Training

Hervé Bourlard, Hemant Misra

Multi-stream based automatic speech recognition (ASR) systems outperform their single stream counterparts, especially in the case of noisy speech. However, the main issues in multi-stream systems are to know a) Which streams to be combined, and b) How to c ...

IDIAP2005