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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…
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Keywords:
speech;
speech enhancement;
akf gain;
augmented kalman ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3077281
Abstract: Current augmented Kalman filter (AKF)-based speech enhancement algorithms utilise a temporal convolutional network (TCN) to estimate the clean speech and noise linear prediction coefficient (LPC). However, the multi-head attention network MHANet) has demonstrated the ability…
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Keywords:
lpc;
mhanet;
augmented kalman;
speech ... See more keywords