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The CL-UZH team submitted one system each for the fixed and open conditions of the NIST SRE 2024 challenge. For the closed-set condition, results for the audio-only trials were achieved using the X-vector system developed with Kaldi. For…

Audio and Speech Processing · Electrical Eng. & Systems 2025-10-08 Aref Farhadipour , Shiran Liu , Masoumeh Chapariniya , Valeriia Vyshnevetska , Srikanth Madikeri , Teodora Vukovic , Volker Dellwo

This document briefly describes the systems submitted by the Center for Robust Speech Systems (CRSS) from The University of Texas at Dallas (UTD) to the 2016 National Institute of Standards and Technology (NIST) Speaker Recognition…

Computation and Language · Computer Science 2016-10-26 Chunlei Zhang , Fahimeh Bahmaninezhad , Shivesh Ranjan , Chengzhu Yu , Navid Shokouhi , John H. L. Hansen

We present the findings of the LoResMT 2021 shared task which focuses on machine translation (MT) of COVID-19 data for both low-resource spoken and sign languages. The organization of this task was conducted as part of the fourth workshop…

Computation and Language · Computer Science 2021-08-19 Atul Kr. Ojha , Chao-Hong Liu , Katharina Kann , John Ortega , Sheetal Shatam , Theodorus Fransen

This technical report describes the SJTU X-LANCE Lab system for the three tracks in CNSRC 2022. In this challenge, we explored the speaker embedding modeling ability of deep ResNet (Deeper r-vector). All the systems are only trained on the…

Sound · Computer Science 2023-05-16 Zhengyang Chen , Bei Liu , Bing Han , Leying Zhang , Yanmin Qian

This paper summarizes our team's efforts in both tracks of the ICMC-ASR Challenge for in-car multi-channel automatic speech recognition. Our submitted systems for ICMC-ASR Challenge include the multi-channel front-end enhancement and…

Audio and Speech Processing · Electrical Eng. & Systems 2023-12-27 Meng Ge , Yizhou Peng , Yidi Jiang , Jingru Lin , Junyi Ao , Mehmet Sinan Yildirim , Shuai Wang , Haizhou Li , Mengling Feng

This paper describes NAIST's submission to the simultaneous track of the IWSLT 2024 Evaluation Campaign: English-to-{German, Japanese, Chinese} speech-to-text translation and English-to-Japanese speech-to-speech translation. We develop a…

This paper describes the submission to the IWSLT 2021 Low-Resource Speech Translation Shared Task by IMS team. We utilize state-of-the-art models combined with several data augmentation, multi-task and transfer learning approaches for the…

Computation and Language · Computer Science 2021-07-01 Pavel Denisov , Manuel Mager , Ngoc Thang Vu

In this paper, we summarize the 1st NTIRE challenge on stereo image super-resolution (restoration of rich details in a pair of low-resolution stereo images) with a focus on new solutions and results. This challenge has 1 track aiming at the…

Computer Vision and Pattern Recognition · Computer Science 2022-04-21 Longguang Wang , Yulan Guo , Yingqian Wang , Juncheng Li , Shuhang Gu , Radu Timofte

This paper describes the NPU-MSXF system for the IWSLT 2023 speech-to-speech translation (S2ST) task which aims to translate from English speech of multi-source to Chinese speech. The system is built in a cascaded manner consisting of…

Sound · Computer Science 2023-07-11 Kun Song , Yi lei , Peikun Chen , Yiqing Cao , Kun Wei , Yongmao Zhang , Lei Xie , Ning Jiang , Guoqing Zhao

This paper describes the ON-TRAC Consortium translation systems developed for two challenge tracks featured in the Evaluation Campaign of IWSLT 2020, offline speech translation and simultaneous speech translation. ON-TRAC Consortium is…

In this paper, we introduced our joint team SJTU-NICT 's participation in the WMT 2020 machine translation shared task. In this shared task, we participated in four translation directions of three language pairs: English-Chinese,…

Computation and Language · Computer Science 2020-10-13 Zuchao Li , Hai Zhao , Rui Wang , Kehai Chen , Masao Utiyama , Eiichiro Sumita

In this paper, we describe the systems developed by the SJTU X-LANCE team for LIMMITS 2023 Challenge, and we mainly focus on the winning system on naturalness for track 1. The aim of this challenge is to build a multi-speaker multi-lingual…

Sound · Computer Science 2024-11-12 Chenpeng Du , Yiwei Guo , Feiyu Shen , Kai Yu

In this work, we present the system description of the UIAI entry for the short-duration speaker verification (SdSV) challenge 2020. Our focus is on Task 1 dedicated to text-dependent speaker verification. We investigate different feature…

Audio and Speech Processing · Electrical Eng. & Systems 2020-07-28 Md Sahidullah , Achintya Kumar Sarkar , Ville Vestman , Xuechen Liu , Romain Serizel , Tomi Kinnunen , Zheng-Hua Tan , Emmanuel Vincent

In this paper, we describe our end-to-end multilingual speech translation system submitted to the IWSLT 2021 evaluation campaign on the Multilingual Speech Translation shared task. Our system is built by leveraging transfer learning across…

Computation and Language · Computer Science 2021-08-17 Yun Tang , Hongyu Gong , Xian Li , Changhan Wang , Juan Pino , Holger Schwenk , Naman Goyal

This report describes the NPU-HC speaker verification system submitted to the O-COCOSDA Multi-lingual Speaker Verification (MSV) Challenge 2022, which focuses on developing speaker verification systems for low-resource Asian languages. We…

Audio and Speech Processing · Electrical Eng. & Systems 2022-12-05 Yue Li , Li Zhang , Namin Wang , Jie Liu , Lei Xie

The Fearless Steps Challenge 2019 Phase-1 (FSC-P1) is the inaugural Challenge of the Fearless Steps Initiative hosted by the Center for Robust Speech Systems (CRSS) at the University of Texas at Dallas. The goal of this Challenge is to…

Audio and Speech Processing · Electrical Eng. & Systems 2022-11-07 Aditya Joglekar , John H. L. Hansen

Korea University Intelligent Signal Processing Lab. (KU-ISPL) developed speaker recognition system for SRE16 fixed training condition. Data for evaluation trials are collected from outside North America, spoken in Tagalog and Cantonese…

Sound · Computer Science 2017-02-07 Suwon Shon , Hanseok Ko

This paper describes the LIA speaker recognition system developed for the Speaker Recognition Evaluation (SRE) campaign. Eight sub-systems are developed, all based on a state-of-the-art approach: i-vector/PLDA which represents the…