Abstract
AhoSR is a hidden Markov model based speech recognition system developed in the Aholab Signal Processing Laboratory research group of the University of the Basque Country. It has been modularly devised for ASR-based tools and applications to be easily implemented and tested, being also particularly interesting for research in the field of language model optimization of agglutinative languages like Basque. The system relies on the use of a static search graph where decoupled language model information is incorporated at run-time. This paper introduces the basic architecture as well as the most relevant aspects of the AhoSR speech recognition system. Besides, this paper compiles the results of several experiments which validate the system for its use in different tasks: phonetic, grammar-based and LM-based recognition. Two CALL/CAPT applications that use AhoSR are also described.
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Odriozola, I., Serrano, L., Hernaez, I., Navas, E. (2014). The AhoSR Automatic Speech Recognition System. In: Navarro Mesa, J.L., et al. Advances in Speech and Language Technologies for Iberian Languages. Lecture Notes in Computer Science(), vol 8854. Springer, Cham. https://doi.org/10.1007/978-3-319-13623-3_29
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DOI: https://doi.org/10.1007/978-3-319-13623-3_29
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