José Lopes

Learn More
This paper describes the early stages of porting REAP, a tutoring system for vocabulary learning, to European Portuguese. Students learn from authentic materials, on topics of their preference. A large number of linguistic resources and filtering tools have already been integrated into the ported version. We modified the current system to also target oral(More)
—When humans and computers use the same terms (primes, when they entrain to one another), spoken dialogs proceed more smoothly. The goal of this paper is to describe initial steps we have found that will enable us to eventually automatically choose better primes in spoken dialog system prompts. Two different sets of prompts were used to understand what(More)
This paper proposes an approach to the use of lexical entrainment in Spoken Dialog Systems. This approach aims to increase the dialog success rate by adapting the lexical choices of the system to the user's lexical choices. If the system finds that the users lexical choice degrades the performance, it will try to establish a new conceptual pact, proposing(More)
This paper presents uses a data-driven approach to improve Spoken Dialog System (SDS) performance by automatically finding the most appropriate terms to be used in system prompts. The literature shows that speakers use one another's terms (entrain) when trying to create common ground during a spoken dialog. Those terms are commonly called " primes " , since(More)
This paper describes the integration of multimedia documents in the Portuguese version of REAP, a tutoring system for vocabulary learning. The documents result from the pipeline processing of Broadcast News videos that automatically segments the audio files, transcribes them, adds punctuation and capitalization, and breaks them into stories classified by(More)
The reliability of the confidence score is very important in Spoken Dialog System performance. This paper describes a set of experiments with previously collected off-line data, regarding the set of features that should be used in the computation of the confidence score. Three different regression methods to weight the features were used and the results(More)
This paper describes the development of a robust speech recognition using a database collected in the scope of the Tecnovoz project. The speech recognition system is speaker independent, robust to noise and operates in a small footprint embedded hardware platform. Some issues about the database, the training of the acoustic models, the noise suppression(More)