Samuele Cornell

ICASSP 2026 Urgent Speech Enhancement Challenge

C. Li, Wei Wang, Marvin Sach, Wangyou Zhang et autres

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 definitions, datasets, baseline systems, evaluation protocols, and results. The challenge …

cn, de, jp, us (code pays fourni par la source)

2025 Urgent Speech Enhancement Challenge Multilingual P.808 Listening Tests: Approach and Results

Marvin Sach, Yihui Fu, Kohei Saijo, Wangyou Zhang et autres

In speech quality estimation for speech enhancement (SE) systems, subjective listening tests so far are considered as the gold standard. This should be even more true considering the large influx of new generative or hybrid methods into the field, revealing issues of …

de, jp, cn, us (code pays fourni par la source)

SE-DiCoW: Self-Enrolled Diarization-Conditioned Whisper

Alexander Polok, Dominik Klement, Samuele Cornell, Matthew Wiesner et autres

Speaker-attributed automatic speech recognition (ASR) in multi-speaker environments remains a major challenge. While some approaches achieve strong performance when fine-tuned on specific domains, few systems generalize well across out-of-domain datasets. Our prior work, Diarization-Conditioned Whisper (DiCoW), leverages speaker diarization outputs as conditioning …

cz, us (code pays fourni par la source)

Less is More: Data Curation Matters in Scaling Speech Enhancement

Chang Li, Wangyou Zhang, Wei Wang, Robin Scheibler et autres

The vast majority of modern speech enhancement systems rely on data-driven neural network models. Conventionally, larger datasets are presumed to yield superior model performance, an observation empirically validated across numerous tasks in other domains. However, recent studies reveal diminishing returns when scaling …

cn, us, jp, de (code pays fourni par la source)

URGENT-PK: Perceptually-Aligned Ranking Model Designed for Speech Enhancement Competition

Yi-Xiang Wang, Chang Li, Wei Wang, Wangyou Zhang et autres

The Mean Opinion Score (MOS) is fundamental to speech quality assessment. However, its acquisition requires significant human annotation. Although deep neural network approaches, such as DNSMOS and UTMOS, have been developed to predict MOS to avoid this issue, they often suffer from …

cn, us, de, jp (code pays fourni par la source)

Recent trends in distant conversational speech recognition: A review of CHiME-7 and 8 DASR challenges

Samuele Cornell, Christoph Boeddeker, Tae‐Jin Park, He Huang et autres

us, de, cn, it (code pays fourni par la source)

OpenBEATs: A Fully Open-Source General-Purpose Audio Encoder

Shikhar Bharadwaj, Samuele Cornell, Kwanghee Choi, Satoru Fukayama et autres

Masked token prediction has emerged as a powerful pre-training objective across language, vision, and speech, offering the potential to unify these diverse modalities through a single pre-training task. However, its application for general audio understanding remains underexplored, with BEATs being the only …

us, jp (code pays fourni par la source)

CS-FLEURS: A Massively Multilingual and Code-Switched Speech Dataset

Brian Yan, Injy Hamed, Shuichiro Shimizu, Vasista Sai Lodagala et autres

We present CS-FLEURS, a new dataset for developing and evaluating code-switched speech recognition and translation systems beyond high-resourced languages. CS-FLEURS consists of 4 test sets which cover in total 113 unique code-switched language pairs across 52 languages: 1) a 14 X-English language …

Scalable Spontaneous Speech Dataset (SSSD): Crowdsourcing Data Collection to Promote Dialogue Research

Zaid Sheikh, Shuichiro Shimizu, Siddhant Arora, Jiatong Shi et autres

Lessons Learned from the URGENT 2024 Speech Enhancement Challenge

Wangyou Zhang, Kohei Saijo, Samuele Cornell, Robin Scheibler et autres

Interspeech 2025 URGENT Speech Enhancement Challenge

Kohei Saijo, Wangyou Zhang, Samuele Cornell, Robin Scheibler et autres

Recent Trends in Distant Conversational Speech Recognition: A Review of CHiME-7 and 8 DASR Challenges

Samuele Cornell, Christoph Boeddeker, Tae‐Jin Park, He Huang et autres

The CHiME-7 and 8 distant speech recognition (DASR) challenges focus on multi-channel, generalizable, joint automatic speech recognition (ASR) and diarization of conversational speech. With participation from 9 teams submitting 32 diverse systems, these challenges have contributed to state-of-the-art research in the field. …