Jaume Padrell

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There are many exhaustive works that deal with the use of models for segmental duration. The aim of this paper is to evaluate some of the properties mentioned in literature and evaluate factorial and sum-of-products models in front of a listlike approach for Catalan language as a base for a most exhaustive study on duration in this language. Sum-of-products(More)
In this paper we deal with the robustness problem in speech recognition, using a Spanish subset of the recently collected SPEECON database, and focusing on the front-end side of the recognizer. Cross-microphone and cross-environment recognition tests are presented using both read and spontaneous continuous speech utterances. Our semi-continuous sub-word HMM(More)
Segre is a rule-based automatic phonetic transcription system for Catalan, jointly developed by the Universitat Politècnica de Catalunya, the Universitat Autònoma de Barcelona and the Universitat de Barcelona in the framework of the Catalan Reference Centre for Language Engineering (CREL, Centre de Referència en Enginyeria Lingüística). The syntax of the(More)
At TALP, we are working on speech recognition of official languages in Catalonia, i.e. Spanish and Catalan. These two languages share approximately 80 % of their allophones. The speech databases that we have available to train HMMs in Catalan have a smaller size than the Spanish databases. This difference of size of training databases results in poorer(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)
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)
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)
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)