Papers by Stefan Constantin
End-to-End Evaluation for Low-Latency Simultaneous Speech Translation (2023.emnlp-demo)
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Christian Huber, Tu Anh Dinh, Carlos Mullov, Ngoc-Quan Pham, Thai Binh Nguyen, Fabian Retkowski, Stefan Constantin, Enes Ugan, Danni Liu, Zhaolin Li, Sai Koneru, Jan Niehues, Alexander Waibel
| Challenge: | a framework to evaluate low-latency speech translations is currently only limited to specific aspects and is not able to compare different approaches. |
| Approach: | They propose a framework to perform and evaluate low-latency speech translation in realistic conditions. |
| Outcome: | The proposed framework evaluates various aspects of low-latency speech translation under realistic conditions. |
Incremental processing of noisy user utterances in the spoken language understanding task (D19-55)
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| Challenge: | triggered actions with high executions times can cause dialog systems to react slowly due to high latency and high latex. |
| Approach: | They propose a model-agnostic method to achieve high quality in processing incrementally produced partial utterances. |
| Outcome: | The proposed method improves the metric F1-score by 47.91 percentage points . the proposed method can be used to create low-latency natural language understanding components on ATIS datasets. |