António J. S. Teixeira

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When transcribing Broadcast News data in highly inflected languages, the vocabulary growth leads to high out-ofvocabulary rates. To address this problem, we propose a daily and unsupervised adaptation approach which dynamically adapts the active vocabulary and LM to the topic of the current news segment during a multi-pass speech recognition process. Based(More)
Ambient-assisted living (AAL) is, nowadays, an important research and development area, foreseen as an important instrument to face the demographic aging. The acceptance of the AAL paradigm is closely related to the quality of the available systems, namely in terms of intelligent functions for the user interaction. In that context, usability and(More)
The recent evolution of Carl, an intelligent mobile robot, is presented. The paper focuses on robust spoken language understanding (SLU) and on knowledge representation and reasoning (KRR). Robustness in SLU is achieved through the combination of deep and shallow parsing, tolerating non-grammatical utterances. The KRR module supports the integration of(More)
Knowledge of the speech production mechanism is essential for the development of speech production models and theories. Magnetic Resonance Imaging delivers high quality images of soft tissues, has multiplanar capacity and allows for the visualization of the entire vocal tract. To our knowledge, there are no complete and systematic Magnetic Resonance Imaging(More)
A Silent Speech Interface (SSI) aims at performing Automatic Speech Recognition (ASR) in the absence of an intelligible acoustic signal. It can be used as a human-computer interaction modality in high-backgroundnoise environments, such as living rooms, or in aiding speech-impaired individuals, increasing in prevalence with ageing. If this interaction(More)