most citedA New Nonlinear speaker parameterization algorithm for speaker identification

6 citations · 6 across the 1 of their papers we have counts for

collaborators

5 papers

cs.SD20226 cited

A New Nonlinear speaker parameterization algorithm for speaker identification

Mohamed Chetouani, Marcos Faundez-Zanuy, Bruno Gas +1

In this paper we propose a new parameterization algorithm based on nonlinear prediction, which is an extension of the classical LPC parameters. The parameters performances are esti…

cs.LG2018

Learning agent's spatial configuration from sensorimotor invariants

Alban Laflaquière, J. Kevin O'Regan, Sylvain Argentieri +2

The design of robotic systems is largely dictated by our purely human intuition about how we perceive the world. This intuition has been proven incorrect with regard to a number of…

cs.LG2018

A Non-linear Approach to Space Dimension Perception by a Naive Agent

Alban Laflaquière, Sylvain Argentieri, Olivia Breysse +2

Developmental Robotics offers a new approach to numerous AI features that are often taken as granted. Traditionally, perception is supposed to be an inherent capacity of the agent.…

cs.LG2018

Learning an internal representation of the end-effector configuration space

Alban Laflaquière, Alexander V. Terekhov, Bruno Gas +1

Current machine learning techniques proposed to automatically discover a robot kinematics usually rely on a priori information about the robot's structure, sensors properties or en…

cs.RO2018

Discovering space - Grounding spatial topology and metric regularity in a naive agent's sensorimotor experience

Alban Laflaquière, J. Kevin O'Regan, Bruno Gas +1

In line with the sensorimotor contingency theory, we investigate the problem of the perception of space from a fundamental sensorimotor perspective. Despite its pervasive nature in…