Robustness and sensitivity metrics-based tuning of the augmented Kalman filter for single-channel speech enhancement
Sign Up to like & getrecommendations! Published in 2022 at "Applied Acoustics"
DOI: 10.1016/j.apacoust.2021.108355
Abstract: Abstract The inaccurate estimates of the speech and noise linear prediction coefficients (LPCs) introduce bias in augmented Kalman filter (AKF) gain, which impacts the quality and intelligibility of enhanced speech. Although current tuning methods offset… read more here.
Keywords: speech; speech enhancement; akf gain; augmented kalman ... See more keywords
On the importance of benchmarking algorithms under realistic noise conditions
Sign Up to like & getrecommendations! Published in 2020 at "Geophysical Journal International"
DOI: 10.1093/gji/ggaa025
Abstract: Testing with synthetic data sets is a vital stage in an algorithm’s development for benchmarking the algorithm’s performance. A common addition to synthetic data sets is White, Gaussian Noise (WGN) which is used to mimic… read more here.
Keywords: algorithms realistic; data sets; realistic noise; synthetic data ... See more keywords