Innovative contributions of the project

  • develop learning models for the Romanian language specific features, like the acoustic parameters, the probability structure of the n-grams and the probability structure of the morphological and the syntactical templates. Part-of-speech detection will represent another original fundamental contribution of this project.

 

  • apply techniques from signal processing in order to automatically partition and semantically annotate the speech signal.

 

  • adaptation to context. Our technology¬†will be suited for a particular subset of the Romanian language. We aim at creating a system being able to work in noisy condition, be speaker independent and supply good transcription accuracy.

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