Javier Garrido Salas

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.The exhaustive changes of the hardware context in configurable computing machines increase the risk of configuration errors and signal contentions-two situations that produce erroneous processing, reduce system life, or even cause permanent system damnge. Excessive chip heat can also be caused by the peculiarities of a machine configuration: Fine-grain(More)
A new multimodal biometric database, acquired in the framework of the BiosecurID project, is presented together with the description of the acquisition setup and protocol. The database includes eight unimodal biometric traits, namely: speech, iris, face (still images, videos of talking faces), handwritten signature and handwritten text (on-line dynamic(More)
Band-limited speech (speech for which parts of the spectrum are completely lost) is a major cause for accuracy degradation of automatic speech recognition (ASR) systems particularly when acoustic models have been trained with data with a different spectral range. In this paper, we present an extensive study of the problem of ASR of band-limited speech with(More)
In this paper we present an algorithm that makes use of information contained in syllable lattices to significantly reduce the classification error rate of a children’s speech reading tracker. The task is to verify whether each word in a reference string was actually spoken. A syllable graph is generated from the reference word string to represent(More)
This paper presents preliminary acoustic-phonetic decoding results for Spanish on the spontaneous speech corpus CORAL-ROM. These results are compared with results on the read speech corpus ALBAYZIN. We also compare the decoding results obtained with the different types of spontaneous speech in C-ORAL-ROM. As the most important conclusions, the experiments(More)
In this paper we address the problem of bandwidth extension from the point of view of ASR. We show that an HMM-based recognition engine trained with full-bandwidth data can successfully perform ASR on limited-bandwidth test data by means of a simple correction scheme over the input feature vectors. In particular we show that results obtained using(More)
This paper deals with the problem of speech recognition on band-limited speech. In our previous work we showed how a simple polynomial correction framework could be used for compensation of band-limited speech to minimize the mismatch using full-bandwidth acoustic models. This paper extends this approach to time-varying multiple-channel environments. The(More)
Low-cost robots are characterized by low computational resources and limited energy supply. Path planning algorithms aim to find the optimal path between two points so the robot consumes as little energy as possible. However, these algorithms were not developed considering computational limitations (i.e., processing and memory capacity). This paper presents(More)
This paper presents a mapping system that is suitable for small mobile robots. An ad hoc algorithm for mapping based on the Occupancy Grid method has been developed. The algorithm includes some simplifications in order to be used with low-cost hardware resources. The proposed mapping system has been built in order to be completely autonomous and unassisted.(More)