Data Set Used
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)
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 CORAL -ROM. As the most important conclusions, the experiments… (More)
The System-on-Token architecture for biometric systems gives users full control over their biometric data and lets them sign digital transactions using biometrics. The authors implemented and tested the architecture on a commercial mobile device, the Nokia N800.
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)
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)
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)