Papers by Ngoc-Quan Pham

4 papers
End-to-End Evaluation for Low-Latency Simultaneous Speech Translation (2023.emnlp-demo)

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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.
DECM: Evaluating Bilingual ASR Performance on a Code-switching/mixing Benchmark (2024.lrec-main)

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Challenge: Code-switched (CSW) speech is a linguistic phenomenon that occurs when spoken utterances switch languages between sentences.
Approach: They propose to use a dataset to evaluate German-English CSW speech . they show that the dataset includes splits with varying degrees of CSW .
Outcome: The proposed dataset includes spontaneous speech from diverse domains, enabling realistic CSW evaluation in German-English.
Self-Attentional Models for Lattice Inputs (P19-1)

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Challenge: Existing work has extended recurrent neural networks to model lattice inputs but these models suffer from slow computation speeds.
Approach: They propose to extend the paradigm of self-attention to handle lattice inputs by adding probabilistic reachability masks that incorporate latticae structure into the model and support lattics if available.
Outcome: The proposed model outperforms baseline models while being much faster to compute than previous models.
KIT Lecture Translator: Multilingual Speech Translation with One-Shot Learning (C18-2)

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Challenge: In today's globalized world, communication is difficult and often the language barrier still prevents communication.
Approach: They have developed a low-latency translation system that is adapted to lectures and covers several language pairs.
Outcome: The proposed system improves performance but also covers several European languages.

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