HIGHLIGHTS
- who: Li-Chia Chang and Jeih-Weih Hung from the Department of Electrical Engineering, National Chi Nan University, Nantou, Taiwan have published the paper: A Preliminary Study of Robust Speech Feature Extraction Based on Maximizing the Probability of States in Deep Acoustic Models, in the Journal: (JOURNAL)
- what: This study proposes a novel robust speech feature extraction technique to improve speech recognition performance in noisy environments. The authors provide a little more discussion about the issue that using mean squared error (MSE) as the loss function in most deep-learning-based SE algorithms does not . . .
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