NoiseX

The 'NoiseX' dataset is a benchmark containing audiovisual data used to evaluate the noise robustness of automatic speech recognition (ASR) systems, particularly in the context of babble noise.

Papers using NoiseX (3)

Noise-Robust AV-ASR Using Visual Features Both in the Whisper Encoder and Decoder2026Self-Supervised Learning based Monaural Speech Enhancement with Complex-Cycle-Consistent2021Feature Learning and Ensemble Pre-Tasks Based Self-Supervised Speech Denoising and Dereverberation2022