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Study of Senone-Based Deep Neural Network Approaches for Spoken Language Recognition

Audio, Speech, and Language Processing, IEEE/ACM Transactions, no. 1 (2015): 105-116

被引用76|浏览73
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This paper compares different approaches for using deep neural networks (DNNs) trained to predict senone posteriors for the task of spoken language recognition (SLR). These approaches have recently been found to outperform various baseline systems on different datasets, but they have not yet been compared to each other or to a common base...更多

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