Neural Network-augmented Kalman Filtering for Robust Online Speech Dereverberation in Noisy Reverberant Environments

Crowdsourced Multilingual Speech Intelligibility Testing

“…In the past, objective measures that are intrusive in nature, i.e., those that require a reference (e.g., [1,2]), have proven especially useful in practice. In recent years, however, audio algorithms based on generative approaches have been gaining popularity (e.g., [3][4][5]). These algorithms aim to predict a plausible audio instance, rather than a specific reference.…”

“…Current speech algorithm research is moving towards not previously achievable benefit heights, for example, through generative reconstruction of missing speech content (e.g., [3][4][5]). We may soon see single-channel speech enhancement algorithms that markedly improve intelligibility in challenging real-world environments.…”