CHiME-6

CHiME-6 is a benchmark dataset that contains recordings of multi-speaker conversations in various noisy environments, used to evaluate speaker diarization systems.

Papers using CHiME-6 (11)

Efficient and Generalizable Speaker Diarization via Structured Pruning of Self-Supervised Models2025 · 13 citesGenerating Training Targets for Real-World Speech Enhancement via Close-to-Distant Microphone Projection2026Cross-Talk Speech Reduction, by Separation, for Separation2026Advancing automatic speech recognition using feature fusion with self-supervised learning features: A case study on Fearless Steps Apollo corpus2026Exploring Speaker Diarization with Mixture of Experts2025The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios2023 · 9 citesAsk2Mask: Guided Data Selection for Masked Speech Modeling2022 · 1 citesSemi-supervised multi-channel speaker diarization with cross-channel attention2023 · 1 citesGeneration of Speaker Representations Using Heterogeneous Training Batch Assembly2022G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR2022The CHiME-8 DASR Challenge for Generalizable and Array Agnostic Distant Automatic Speech Recognition and Diarization2024