5 citations · 21 across the 11 of their papers we have counts for
14 papers
Findings of the IWSLT 2024 Evaluation Campaign
Ibrahim Said Ahmad, Antonios Anastasopoulos, Ondřej Bojar +42
This paper reports on the shared tasks organized by the 21st IWSLT Conference. The shared tasks address 7 scientific challenges in spoken language translation: simultaneous and off…
FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data
Haoran Sun, Renren Jin, Shaoyang Xu +10
Large language models (LLMs) have demonstrated prowess in a wide range of tasks. However, many LLMs exhibit significant performance discrepancies between high- and low-resource lan…
Multi-stage Large Language Model Correction for Speech Recognition
Jie Pu, Thai-Son Nguyen, Sebastian Stüker
In this paper, we investigate the usage of large language models (LLMs) to improve the performance of competitive speech recognition systems. Different from previous LLM-based ASR…
Instant One-Shot Word-Learning for Context-Specific Neural Sequence-to-Sequence Speech Recognition
Christian Huber, Juan Hussain, Sebastian Stüker +1
Neural sequence-to-sequence systems deliver state-of-the-art performance for automatic speech recognition (ASR). When using appropriate modeling units, e.g., byte-pair encoded char…
Super-Human Performance in Online Low-latency Recognition of Conversational Speech
Thai-Son Nguyen, Sebastian Stueker, Alex Waibel
Achieving super-human performance in recognizing human speech has been a goal for several decades, as researchers have worked on increasingly challenging tasks. In the 1990's it wa…
Toward Cross-Domain Speech Recognition with End-to-End Models
Thai-Son Nguyen, Sebastian Stüker, Alex Waibel
In the area of multi-domain speech recognition, research in the past focused on hybrid acoustic models to build cross-domain and domain-invariant speech recognition systems. In thi…