The mechanical effects of alkali–silica reaction (ASR) have to be modeled in order to assess the deterioration level and the stability of ASRdamaged concrete structures. Several experimental programs have shown the effects of compressive stresses on ASR-induced strains. The effect is so significant that assessment models have to take into account the modification of ASR expansions due to applie...

The aims of the SpeechDat-Car project are to develop a set of speech databases to support training and testing of multilingual speech recognition applications in the car environment. As a result, a total of ten (10) equivalent and similar resources will be created. The 10 languages are Danish, each language 600 sessions will be recorded (from at least 300 speakers) in seven characteristic envir...

In this paper we present a new approach towards speech understanding that merges semantic and intention decoding to one component. The algorithm is supposed to evaluate a speech recognizer’s utterance hypotheses regarding a) syntactical and semantical relations between words and phrases and b) potential intentions of the user. The mathematical fundament for this evaluation is probability theory...

My-Own-Voice is a service that provides a tool to end-users who want to have their voices synthesized by a high-quality commercial-grade Text-to-Speech system without the need to install, configure or manage speech-processing software and equipment. The system records and validates users’ utterances with Automatic Speech Recognition (ASR), to build an HMM or a Unit Selection synthetic voice. Al...

In the ubiquitous (pervasive) computing era, it is expected that everybody will access information services anytime anywhere, and these services are expected to augment various human intelligent activities. Speech recognition technology can play an important role in this era by providing: (a) conversational systems for accessing information services and (b) systems for transcribing, understandi...