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- # Attention-based RNN sequence-to-sequence model for Timers and Such
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+ # End-to-end SLU model for Timers and Such
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+ Attention-based RNN sequence-to-sequence model for Timers and Such
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+ #### Referencing SpeechBrain
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+ ```
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+ @misc{SB2021,
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+ author = {Ravanelli, Mirco and Parcollet, Titouan and Rouhe, Aku and Plantinga, Peter and Rastorgueva, Elena and Lugosch, Loren and Dawalatabad, Nauman and Ju-Chieh, Chou and Heba, Abdel and Grondin, Francois and Aris, William and Liao, Chien-Feng and Cornell, Samuele and Yeh, Sung-Lin and Na, Hwidong and Gao, Yan and Fu, Szu-Wei and Subakan, Cem and De Mori, Renato and Bengio, Yoshua },
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+ title = {SpeechBrain},
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+ year = {2021},
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+ publisher = {GitHub},
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+ journal = {GitHub repository},
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+ howpublished = {\\\\url{https://github.com/speechbrain/speechbrain}},
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+ }
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+ ```
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+
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+ #### Referencing Timers and Such
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+ (TODO add paper once released)