Zobrazeno 1 - 10
of 110
pro vyhledávání: '"Nguyen, Thai Binh"'
Autor:
Eyiokur, Fevziye Irem, Huber, Christian, Nguyen, Thai-Binh, Nguyen, Tuan-Nam, Retkowski, Fabian, Ugan, Enes Yavuz, Yaman, Dogucan, Waibel, Alexander
In this paper, we report on communication experiments conducted in the summer of 2022 during a deep dive to the wreck of the Titanic. Radio transmission is not possible in deep sea water, and communication links rely on sonar signals. Due to the low
Externí odkaz:
http://arxiv.org/abs/2410.11434
Autor:
Koneru, Sai, Nguyen, Thai-Binh, Pham, Ngoc-Quan, Liu, Danni, Li, Zhaolin, Waibel, Alexander, Niehues, Jan
Large Language Models (LLMs) are currently under exploration for various tasks, including Automatic Speech Recognition (ASR), Machine Translation (MT), and even End-to-End Speech Translation (ST). In this paper, we present KIT's offline submission in
Externí odkaz:
http://arxiv.org/abs/2406.16777
Autor:
Nguyen, Thai-Binh, Waibel, Alexander
This paper presents an end-to-end model designed to improve automatic speech recognition (ASR) for a particular speaker in a crowded, noisy environment. The model utilizes a single-channel speech enhancement module that isolates the speaker's voice f
Externí odkaz:
http://arxiv.org/abs/2308.11380
Autor:
Huber, Christian, Dinh, Tu Anh, Mullov, Carlos, Pham, Ngoc Quan, Nguyen, Thai Binh, Retkowski, Fabian, Constantin, Stefan, Ugan, Enes Yavuz, Liu, Danni, Li, Zhaolin, Koneru, Sai, Niehues, Jan, Waibel, Alexander
The challenge of low-latency speech translation has recently draw significant interest in the research community as shown by several publications and shared tasks. Therefore, it is essential to evaluate these different approaches in realistic scenari
Externí odkaz:
http://arxiv.org/abs/2308.03415
Autor:
Liu, Danni, Nguyen, Thai Binh, Koneru, Sai, Ugan, Enes Yavuz, Pham, Ngoc-Quan, Nguyen, Tuan-Nam, Dinh, Tu Anh, Mullov, Carlos, Waibel, Alexander, Niehues, Jan
Many existing speech translation benchmarks focus on native-English speech in high-quality recording conditions, which often do not match the conditions in real-life use-cases. In this paper, we describe our speech translation system for the multilin
Externí odkaz:
http://arxiv.org/abs/2306.05320
Autor:
Vuong, Thi-Hai-Yen, Nguyen, Hai-Long, Nguyen, Tan-Minh, Nguyen, Hoang-Trung, Nguyen, Thai-Binh, Nguyen, Ha-Thanh
This paper presents the NOWJ team's approach to the COLIEE 2023 Competition, which focuses on advancing legal information processing techniques and applying them to real-world legal scenarios. Our team tackles the four tasks in the competition, which
Externí odkaz:
http://arxiv.org/abs/2306.04903
Autor:
Nguyen, Tan-Minh, Nguyen, Thai-Binh, Nguyen, Hoang-Trung, Nguyen, Hai-Long, Thanh, Tam Doan, Nguyen, Ha-Thanh, Vuong, Thi-Hai-Yen
Multi-document summarization is challenging because the summaries should not only describe the most important information from all documents but also provide a coherent interpretation of the documents. This paper proposes a method for multi-document
Externí odkaz:
http://arxiv.org/abs/2304.05205
Publikováno v:
Journal of Intelligent & Robotic Systems, 2023
By utilizing only depth information, the paper introduces a novel but efficient local planning approach that enhances not only computational efficiency but also planning performances for memoryless local planners. The sampling is first proposed to be
Externí odkaz:
http://arxiv.org/abs/2211.03018
Publikováno v:
In International Journal of Solids and Structures 1 October 2024 302
Publikováno v:
Radiology Case Reports, Vol 19, Iss 3, Pp 867-871 (2024)
Bile duct injuries are rare complications of hepatobiliary pancreatic surgery, leading to severe complications if not timely diagnosed and treated, with surgery traditionally being the primary treatment option. However, percutaneous transhepatic or e
Externí odkaz:
https://doaj.org/article/b32a56f2d89e4a89a4f707622601c63e