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This paper describes the FBK's participation in the Simultaneous Translation Evaluation Campaign at IWSLT 2024. For this year's submission in the speech-to-text translation (ST) sub-track, we propose SimulSeamless, which is realized by…

Computation and Language · Computer Science 2024-06-21 Sara Papi , Marco Gaido , Matteo Negri , Luisa Bentivogli

The primary goal of this FBK's systems submission to the IWSLT 2022 offline and simultaneous speech translation tasks is to reduce model training costs without sacrificing translation quality. As such, we first question the need of ASR…

Computation and Language · Computer Science 2023-10-19 Marco Gaido , Sara Papi , Dennis Fucci , Giuseppe Fiameni , Matteo Negri , Marco Turchi

This paper describes the THUEE team's speech recognition system for the IARPA Open Automatic Speech Recognition Challenge (OpenASR21), with further experiment explorations. We achieve outstanding results under both the Constrained and…

Computation and Language · Computer Science 2025-01-14 Jing Zhao , Haoyu Wang , Jinpeng Li , Shuzhou Chai , Guan-Bo Wang , Guoguo Chen , Wei-Qiang Zhang

This paper presents the CUHK-EE voice cloning system for ICASSP 2021 M2VoC challenge. The challenge provides two Mandarin speech corpora: the AIShell-3 corpus of 218 speakers with noise and reverberation and the MST corpus including…

Audio and Speech Processing · Electrical Eng. & Systems 2021-07-06 Daxin Tan , Hingpang Huang , Guangyan Zhang , Tan Lee

This is the detailed system description of the IITKGP-ABSP lab's submission to the NIST language recognition evaluation (LRE) 2022. The objective of this LRE (LRE22) is focused on recognizing 14 low-resourced African languages. Even though…

Audio and Speech Processing · Electrical Eng. & Systems 2025-01-16 Spandan Dey , Md Sahidullah , Goutam Saha

This paper describes NiuTrans neural machine translation systems of the WMT 2021 news translation tasks. We made submissions to 9 language directions, including English$\leftrightarrow$$\{$Chinese, Japanese, Russian, Icelandic$\}$ and…

This paper describes the systems that we submitted to the WMT19 Machine Translation robustness task. This task aims to improve MT's robustness to noise found on social media, like informal language, spelling mistakes and other orthographic…

Computation and Language · Computer Science 2019-07-16 Alexandre Bérard , Ioan Calapodescu , Claude Roux

This paper describes the GMU systems for the IWSLT 2025 low-resource speech translation shared task. We trained systems for all language pairs, except for Levantine Arabic. We fine-tuned SeamlessM4T-v2 for automatic speech recognition…

Computation and Language · Computer Science 2025-05-29 Chutong Meng , Antonios Anastasopoulos

The ICASSP 2026 URGENT Challenge advances the series by focusing on universal speech enhancement (SE) systems that handle diverse distortions, domains, and input conditions. This overview paper details the challenge's motivation, task…

Audio and Speech Processing · Electrical Eng. & Systems 2026-01-21 Chenda Li , Wei Wang , Marvin Sach , Wangyou Zhang , Kohei Saijo , Samuele Cornell , Yihui Fu , Zhaoheng Ni , Tim Fingscheidt , Shinji Watanabe , Yanmin Qian

This technical report describes our submission to the ICME 2025 audio encoder challenge. Our submitted system is built on BEATs, a masked speech token prediction based audio encoder. We extend the BEATs model using 74,000 hours of data…

This paper describes the NPU system submitted to Interspeech 2020 Far-Field Speaker Verification Challenge (FFSVC). We particularly focus on far-field text-dependent SV from single (task1) and multiple microphone arrays (task3). The major…

Audio and Speech Processing · Electrical Eng. & Systems 2020-08-11 Li Zhang , Jian Wu , Lei Xie

The INTERSPEECH 2021 Computational Paralinguistics Challenge addresses four different problems for the first time in a research competition under well-defined conditions: In the COVID-19 Cough and COVID-19 Speech Sub-Challenges, a binary…

The INTERSPEECH 2020 Deep Noise Suppression Challenge is intended to promote collaborative research in real-time single-channel Speech Enhancement aimed to maximize the subjective (perceptual) quality of the enhanced speech. A typical…

This paper describes the submission of the UPC Machine Translation group to the IWSLT 2023 Offline Speech Translation task. Our Speech Translation systems utilize foundation models for speech (wav2vec 2.0) and text (mBART50). We incorporate…

Computation and Language · Computer Science 2023-06-05 Ioannis Tsiamas , Gerard I. Gállego , José A. R. Fonollosa , Marta R. Costa-jussà

The ICASSP 2022 Multi-channel Multi-party Meeting Transcription Grand Challenge (M2MeT) focuses on one of the most valuable and the most challenging scenarios of speech technologies. The M2MeT challenge has particularly set up two tracks,…

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. The backbone of our systems is the offline Whisper speech…

Computation and Language · Computer Science 2025-06-23 Dominik Macháček , Peter Polák

This paper describes our NPU-Elevoc personalized speech enhancement system (NAPSE) for the 5th Deep Noise Suppression Challenge at ICASSP 2023. Based on the superior two-stage model TEA-PSE 2.0, our system particularly explores better…

Audio and Speech Processing · Electrical Eng. & Systems 2023-03-16 Xiaopeng Yan , Yindi Yang , Zhihao Guo , Liangliang Peng , Lei Xie

This paper describes the University of Sydney& JD's joint submission of the IWSLT 2021 low resource speech translation task. We participated in the Swahili-English direction and got the best scareBLEU (25.3) score among all the…

Computation and Language · Computer Science 2021-07-27 Liang Ding , Di Wu , Dacheng Tao

Deep Speech Enhancement Challenge is the 5th edition of deep noise suppression (DNS) challenges organized at ICASSP 2023 Signal Processing Grand Challenges. DNS challenges were organized during 2019-2023 to stimulate research in deep speech…

This paper presents our MSXF TTS system for Task 3.1 of the Audio Deep Synthesis Detection (ADD) Challenge 2022. We use an end to end text to speech system, and add a constraint loss to the system when training stage. The end to end TTS…

Sound · Computer Science 2022-01-28 Chunyong Yang , Pengfei Liu , Yanli Chen , Hongbin Wang , Min Liu