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• W3128121831 endingPage "214" @default.
• W3128121831 startingPage "214" @default.
• W3128121831 abstract "Artificial Neural Networks (ANNs) were created inspired by the neural networks in the human brain and have been widely applied in speech processing. The application areas of ANN include: Speech recognition, speech emotion recognition, language identification, speech enhancement, and speech separation, amongst others. Likewise, given that speech processing performed by humans involves complex cognitive processes known as auditory attention, there has been a growing amount of papers proposing ANNs supported by deep learning algorithms in conjunction with some mechanism to achieve symmetry with the human attention process. However, while these ANN approaches include attention, there is no categorization of attention integrated into the deep learning algorithms and their relation with human auditory attention. Therefore, we consider it necessary to have a review of the different ANN approaches inspired in attention to show both academic and industry experts the available models for a wide variety of applications. Based on the PRISMA methodology, we present a systematic review of the literature published since 2000, in which deep learning algorithms are applied to diverse problems related to speech processing. In this paper 133 research works are selected and the following aspects are described: (i) Most relevant features, (ii) ways in which attention has been implemented, (iii) their hypothetical relationship with human attention, and (iv) the evaluation metrics used. Additionally, the four publications most related with human attention were analyzed and their strengths and weaknesses were determined." @default.
• W3128121831 created "2021-02-15" @default.
• W3128121831 creator A5002575060 @default.
• W3128121831 creator A5028040623 @default.
• W3128121831 creator A5028817934 @default.
• W3128121831 creator A5046636421 @default.
• W3128121831 date "2021-01-28" @default.
• W3128121831 modified "2023-09-30" @default.
• W3128121831 title "Attention-Inspired Artificial Neural Networks for Speech Processing: A Systematic Review" @default.
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