Speech processing has become a data-driven technology. Hence, the success of research in this area is linked to the existence of public corpora and associated resources, as a phonetic dictionary. In contrast to other languages such as English, one cannot find, in public domain, a Large Vocabulary Continuos Speech Recognition (LVCSR) System for Brazilian Portuguese. This work discusses some efforts within the FalaBrasil initiative [1], developed by researchers, teachers and students of the Signal Processing Laboratory (LaPS) at UFPA, providing an overview of the research and softwares related to Automatic Speech Recognition (ASR) for Brazilian Portuguese. More specifically, the present work discusses the implementation of a large vocabulary ASR for Brazilian Portuguese using the HTK software, which is based on hidden Markov models (HMM). Besides, the work discusses the implementation of a grapheme-phoneme conversion module using machine learning techniques.
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