Oct 30, 2020 · We propose an end-to-end transformer-based sequence-to-sequence model, equipped with an augmented memory transformer encoder, which has shown great success.

We first define the evaluation method for simultaneous speech translation. We then introduce the model based on the augmented memory transformer. Finally, we ...

This paper proposes an end- to-end transformer-based sequence-to-sequence model, equipped with an augmented memory transformer encoder, which has shown ...

Sep 11, 2024 · We propose an end-to-end transformer-based sequence-to-sequence model, equipped with an augmented memory transformer encoder, which has shown ...

... Augmented Memory Transformer: For SimulST, a transformer model waits for k token chunks before beginning translation, a policy referred to as wait-k (Ma et ...

Jul 3, 2023 · Transformer models using segment-based process- ing have been an effective architecture for simulta- neous speech translation.

... Simultaneous Speech Translation Decoding Strategies; [ICASSP] Streaming Simultaneous Speech Translation with Augmented Memory Transformer; [ICASSP] Orthros ...

Streaming simultaneous speech translation with aug- mented memory transformer. In ICASSP, 2021. [Machácek et al., 2023] Dominik Machácek, Ondrej Bojar, and ...

Although Transformers have gained success in several speech processing tasks like spoken language understanding (SLU) and speech translation (ST), ...

Transformer models using segment-based processing have been an effective architecture for simultaneous speech translation. However, such models create a ...