---
language: "en"
thumbnail:
tags:
- Spoken language understanding
license: "CC0"
datasets:
- Timers and Such
metrics:
- Accuracy

---

# End-to-end SLU model for Timers and Such

Attention-based RNN sequence-to-sequence model for Timers and Such

#### Referencing SpeechBrain

```
@misc{SB2021,
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 },
title = {SpeechBrain},
year = {2021},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\\\\url{https://github.com/speechbrain/speechbrain}},
}
```

#### Referencing Timers and Such
(TODO add paper once released)