Jaume Padrell

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† Jacobian Adaptation (JA) of the acoustic models is an efficient adaptation technique for robust speech recognition. Several improvements for the JA have been proposed in the last years, either to generalize the Jacobian linear transformation for the case of large noise mismatch between training and testing or to extend the adaptation to other degrading(More)
In the workspace of the future, a so-called " ambient intelligence " will be realized through the widespread use of sensors (e.g., cameras, microphones, directed audio devices) connected to computers that are unobtrusive to their human users. Towards this end of ubiquitous computing, technological advances in multi-channel acoustic analysis are needed in(More)
Under the SpeechDat specifications, the Spanish member of SpeechDat consortium has recorded a Catalan database that includes one thousand speakers. This communication describes some experimental work that has been carried out using both the Spanish and the Catalan speech material. A speech recognition system has been trained for the Spanish language using a(More)
MFCCs perform well when used for clean speech recognition. However, for noisy speech the recognition rates go down. Augmenting the MFCC feature vector by dynamic features improves both discrimination and robustness of the MFCC-based recognizer. In this paper, we present an alternative para meterization based on the frequency filtering (FF) technique. By(More)
This paper describes the FAME interlingual speech-to-speech translation system for Spanish, Catalan and English, which is intended to assist users in the reservation of a hotel room when calling or visiting abroad. The system has been developed as an extension of the existing NESPOLE! translation system[4] which translates between English, German, Italian(More)