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Free tools and resources for Brazilian Portuguese speech recognition

Journal of the Brazilian Computer Society volume 17, pages 53–68 (2011)Cite this article

Abstract

An automatic speech recognition system has modules that depend on the language and, while there are many public resources for some languages (e.g., English and Japanese), the resources for Brazilian Portuguese (BP) are still limited. This work describes the development of resources and free tools for BP speech recognition, consisting of text and audio corpora, phonetic dictionary, grapheme-to-phone converter, language and acoustic models. All of them are publicly available and, together with a proposed application programming interface, have been used for the development of several new applications, including a speech module for the OpenOffice suite. Performance tests are presented, comparing the developed BP system with a commercial software. The paper also describes an application that uses synthesis and speech recognition together with a natural language processing module dedicated to statistical machine translation. This application allows the translation of spoken conversations from BP to English and vice versa. The resources make easier the adoption of BP speech technologies by other academic groups and industry.

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Authors and Affiliations

  1. Federal University of Pará, Augusto Correa, 1, Belém, Brazil

    Nelson Neto, Carlos Patrick & Aldebaro Klautau

  2. IST/INESC-ID, Alves Redol, 9, Lisbon, Portugal

    Isabel Trancoso

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  1. Nelson Neto
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  2. Carlos Patrick
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  4. Isabel Trancoso
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Correspondence to Nelson Neto.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Neto, N., Patrick, C., Klautau, A. et al. Free tools and resources for Brazilian Portuguese speech recognition. J Braz Comput Soc 17, 53–68 (2011). https://doi.org/10.1007/s13173-010-0023-1

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