Advances in Large Vocabulary Continuous Speech Recognition in Greek: Modeling and nonlinear features
Ημερομηνία
2013Λέξη-κλειδί
Επιτομή
The main goal of this work is the development of an improved Large Vocabulary Continuous Speech Recognition (LVCSR) framework in Greek. Language modeling is carried out in a collection of journalistic text and in the acoustic signal processing, a nonlinear approach is implemented for deriving features of the AM-FM type. Experimentation is carried out in both clean and simulated far-field speech offering insight about the acoustic modeling under adverse conditions with reverberation and additive ambient noise. Beyond the baseline implementation, a first step is made in exploring how standard (MFCCs and PLPs) and modulation features (AM-FM) behave in a LVCSR framework when the input speech is distant, like in real life home applications. © 2013 EURASIP.
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