Deep Belief Neural Networks and Bidirectional Long-Short Term Memory Hybrid for Speech Recognition
This paper describes a Deep Belief Neural Network (DBNN) and Bidirectional Long-Short Term Memory (LSTM) hybrid used as an acoustic model for Speech Recognition. It was demonstrated by many independent researchers that DBNNs exhibit superior performance to other known machine learning frameworks in...
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| Główni autorzy: | , |
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| Format: | Artykuł |
| Język: | angielski |
| Wydane: |
Institute of Fundamental Technological Research Polish Academy of Sciences
2015-02-01
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| Seria: | Archives of Acoustics |
| Hasła przedmiotowe: | |
| Dostęp online: | https://acoustics.ippt.pan.pl/index.php/aa/article/view/1445 |
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