Study of Senone-Based Deep Neural Network Approaches for Spoken Language Recognition
Audio, Speech, and Language Processing, IEEE/ACM Transactions, Volume 24, Issue 1, 2015, Pages 105-116.
Gaussian processesfeature extractionmixture modelsnatural language processingneural netsMore(12+)
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...More
Full Text (Upload PDF)
PPT (Upload PPT)