activity
20182026
most citedTowards End-to-End Acoustic Localization using Deep Learning: from Audio Signal to Source Position Coordinates

112 citations · 112 across the 5 of their papers we have counts for

collaborators

5 papers

cs.MA2026

Selection as Power: Constrained Reinforcement for Bounded Decision Authority

Jose Manuel de la Chica Rodriguez, Juan Manuel Vera Díaz

Selection as Power argued that upstream selection authority, rather than internal objective misalignment, constitutes a primary source of risk in high-stakes agentic systems. Howev…

cs.MA2026

Towards Selection as Power: Bounding Decision Authority in Autonomous Agents

Jose Manuel de la Chica Rodriguez, Juan Manuel Vera Díaz

Autonomous agentic systems are increasingly deployed in regulated, high-stakes domains where decisions may be irreversible and institutionally constrained. Existing safety approach…

cs.MA2026

Self-Evolving Coordination Protocol in Multi-Agent AI Systems: An Exploratory Systems Feasibility Study

Jose Manuel de la Chica Rodriguez, Juan Manuel Vera Díaz

Contemporary multi-agent systems increasingly rely on internal coordination mechanisms to combine, arbitrate, or constrain the outputs of heterogeneous components. In safety-critic…

eess.SP2020

Towards Domain Independence in CNN-based Acoustic Localization using Deep Cross Correlations

Juan Manuel Vera-Diaz, Daniel Pizarro, Javier Macias-Guarasa

Time delay estimation is essential in Acoustic Source Localization (ASL) systems. One of the most used techniques for this purpose is the Generalized Cross Correlation (GCC) betwee…

cs.SD2018★ 112 cited

Towards End-to-End Acoustic Localization using Deep Learning: from Audio Signal to Source Position Coordinates

Juan Manuel Vera-Diaz, Daniel Pizarro, Javier Macias-Guarasa

This paper presents a novel approach for indoor acoustic source localization using microphone arrays and based on a Convolutional Neural Network (CNN). The proposed solution is, to…