Information & computer science publications

We elicit personal-assistant speech using a recognizer with a dramatically increased endpoint threshold, and find frequent non-final pauses. Based on the new data, we develop low-cost acoustic features to discriminate…

In this paper, we build on our previous work and study the feasibility of an operational deployment of an adaptive ensemble-method framework for modeling cell behavior.

We sketch a pragmatic but principled mechanism for quantifying the level of completeness of goals in a Belief-Desire-Intention--like agent.

Accurate phone-level segmentation of speech remains an important task for many subfields of speech research. We investigate techniques for boosting the accuracy of automatic phonetic segmentation based on HMM acoustic-phonetic…

In this work, we propose an efficient simplification scheme, named sVTS, in order to show that the VTS approach gives improvements in large scale applications compared to state-of-the-art systems.

We address the problem of subselecting a large set of acoustic data to train automatic speech recognition (ASR) systems. To this end, we apply a novel data selection technique based…

This paper addresses a new control strategy to reduce the damage to a humanoid robot during a fall. Instead of following the traditional approach of finding a favorable configuration with…

In this paper, it is proposed to substitute the first order VTS by an unscented transform, where unlike VTS, the nonlinear function is not applied over the clean model parameters…

We present a camera system for instantaneous, non-destructive capture of spectral signatures for forensic analysis. Our system detects highly probative samples in the forensic scene mixed by the multiple target…

We focus on SSP’s evolution and its vital relevance to the research and development communities along its path from community gathering to premier security research meeting.