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Acoustic Speech Recognition - Crossref

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Last Updated: 05 November 2021

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Discriminatively trained continuous Hindi speech recognition using integrated acoustic features and recurrent neural network language modeling

Abstract This paper carries out the continual Hindi Automatic Speech Recognition system utilizing the suggested integrated features vector with Recurrent Neural Network based Language Modeling. The proposed system also implements the speaker adjustment utilizing Maximum-Likelihood Linear Regression and Constrained Maximum chance Linear Regression. The results show that discriminative training boosts the baseline system performance by approximately 3%.

Source link: https://doi.org/10.1515/jisys-2018-0417

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions