A survey on Automatic Speech Recognition systems for Portuguese language and its variations

AGUIAR DE LIMA, Thales and DA COSTA-ABREU, Marjory (2019). A survey on Automatic Speech Recognition systems for Portuguese language and its variations. Computer Speech & Language, p. 101055.

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Link to published version:: https://doi.org/10.1016/j.csl.2019.101055
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    Abstract

    Communication has been an essential part of being human and living in society. There are several different languages and variations of them, so you can speak English in one place and not be able to communicate effectively with someone who speaks English with a different accent. There are several application areas where voice/speech data can be of importance, such as health, security, biometric analysis or education. However, most studies focus on English, Arabic or Asian languages, neglecting other relevant languages, such as Portuguese, which leaves their investigations wide open. Thus, it is crucial to understand the area, where the main focus is: what are the most used techniques for feature extraction and classification, and so on. This paper presents a survey on automatic speech recognition components for Portuguese-based language and its variations, as an understudied language. With a total of 101 papers from 2012 to 2018, the Portuguese-based automatic speech recognition field tendency will be explained, and several possible unexplored methods will be presented and discussed in a collaborative and overall way as our main contribution.

    Item Type: Article
    Uncontrolled Keywords: Speech-Language Pathology & Audiology; 0801 Artificial Intelligence and Image Processing; 1702 Cognitive Sciences; 2004 Linguistics
    Identification Number: https://doi.org/10.1016/j.csl.2019.101055
    Page Range: p. 101055
    SWORD Depositor: Symplectic Elements
    Depositing User: Symplectic Elements
    Date Deposited: 11 Dec 2019 16:00
    Last Modified: 07 Jul 2020 09:45
    URI: http://shura.shu.ac.uk/id/eprint/25533

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