1 citations · 1 across the 7 of their papers we have counts for
8 papers
Simultaneous Translation with Offline Speech and LLM Models in CUNI Submission to IWSLT 2025
Dominik Macháček, Peter Polák
This paper describes Charles University submission to the Simultaneous Speech Translation Task of the IWSLT 2025. We cover all four language pairs with a direct or cascade approach…
Long-form Simultaneous Speech Translation: Thesis Proposal
Peter Polák
Simultaneous speech translation (SST) aims to provide real-time translation of spoken language, even before the speaker finishes their sentence. Traditionally, SST has been address…
Long-Form End-to-End Speech Translation via Latent Alignment Segmentation
Peter Polák, Ondřej Bojar
Current simultaneous speech translation models can process audio only up to a few seconds long. Contemporary datasets provide an oracle segmentation into sentences based on human-a…
Robustness of Multi-Source MT to Transcription Errors
Dominik Macháček, Peter Polák, Ondřej Bojar +1
Automatic speech translation is sensitive to speech recognition errors, but in a multilingual scenario, the same content may be available in various languages via simultaneous inte…
ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit
Brian Yan, Jiatong Shi, Yun Tang +13
ESPnet-ST-v2 is a revamp of the open-source ESPnet-ST toolkit necessitated by the broadening interests of the spoken language translation community. ESPnet-ST-v2 supports 1) offlin…
ALIGNMEET: A Comprehensive Tool for Meeting Annotation, Alignment, and Evaluation
Peter Polák, Muskaan Singh, Anna Nedoluzhko +1
Summarization is a challenging problem, and even more challenging is to manually create, correct, and evaluate the summaries. The severity of the problem grows when the inputs are…
CUNI-KIT System for Simultaneous Speech Translation Task at IWSLT 2022
Peter Polák, Ngoc-Quan Ngoc, Tuan-Nam Nguyen +5
In this paper, we describe our submission to the Simultaneous Speech Translation at IWSLT 2022. We explore strategies to utilize an offline model in a simultaneous setting without…
Coarse-To-Fine And Cross-Lingual ASR Transfer
Peter Polák, Ondřej Bojar
End-to-end neural automatic speech recognition systems achieved recently state-of-the-art results, but they require large datasets and extensive computing resources. Transfer learn…